{
  "meta": {
    "title": "国产大模型与国产 AI Agent 定价横向对比",
    "updatedAt": "2026-10-17",
    "currency": "CNY",
    "apiUnit": "元 / 每百万 tokens",
    "audience": "面向个人用户；已排除纯企业平台（如扣子 Coze、百炼、钉钉 AI 等）及已转 ToB 的模型（如百川、零一、天工、华为 CodeArts Snap）",
    "disclaimer": "定价会持续调整，使用前请以官网实时页面为准。",
    "source": "docs/国产AI模型与Agent定价对比.md"
  },
  "categories": [
    {
      "id": "llm",
      "name": "国产大模型（个人可直接体验）"
    },
    {
      "id": "agent-coding",
      "name": "国产 AI Agent —— 编程类"
    },
    {
      "id": "agent-office",
      "name": "国产 AI Agent —— 办公 / 通用类（个人）"
    }
  ],
  "items": [
    {
      "id": "deepseek",
      "category": "llm",
      "name": "DeepSeek",
      "vendor": "深度求索",
      "links": [
        {
          "label": "官网",
          "url": "https://www.deepseek.com"
        },
        {
          "label": "开发者平台",
          "url": "https://platform.deepseek.com"
        },
        {
          "label": "定价页",
          "url": "https://api-docs.deepseek.com/zh-cn/quick_start/pricing/"
        }
      ],
      "api": {
        "available": true,
        "currency": "CNY",
        "unit": "元/百万 tokens",
        "note": "模型名请使用 deepseek-flash；旧模型名 deepseek-v4-flash、deepseek-v4-flash-vision-exp 仍可调用，但对应模型已下线，请求将由 DeepSeek-V4.1-Flash 模型提供服务，并按 Flash 价格计费。上下文长度 1M，输出长度最大 384K。",
        "models": [
          {
            "name": "V4-Flash",
            "input": 1,
            "inputCacheHit": 0.02,
            "output": 4,
            "tiers": [
              {
                "label": "高峰时段",
                "input": 2,
                "inputCacheHit": 0.04,
                "output": 8
              }
            ]
          },
          {
            "name": "V4-Pro",
            "input": 4.5,
            "inputCacheHit": 0.15,
            "output": 13.5,
            "tiers": [
              {
                "label": "高峰时段",
                "input": 9,
                "inputCacheHit": 0.3,
                "output": 27
              }
            ]
          },
          {
            "name": "V4-Flash-Vision-Exp",
            "input": 1,
            "inputCacheHit": 0.02,
            "output": 4,
            "tiers": [
              {
                "label": "高峰时段",
                "input": 2,
                "inputCacheHit": 0.04,
                "output": 8
              }
            ]
          }
        ]
      },
      "plans": [],
      "free": "对话站 / App 免费",
      "note": "API 实行峰谷定价：高峰时段（北京时间周一至周五 9:00–12:00、14:00–18:00，不含中国法定节假日）为 2 倍，空闲时段为高峰半价；其余时段（含周末及法定节假日全天）均为空闲时段"
    },
    {
      "id": "mimo",
      "category": "llm",
      "name": "MiMo",
      "vendor": "小米",
      "links": [
        {
          "label": "官网",
          "url": "https://mimo.mi.com"
        },
        {
          "label": "AI Studio",
          "url": "https://aistudio.xiaomimimo.com"
        },
        {
          "label": "定价页",
          "url": "https://mimo.mi.com/docs/zh-CN/price/pay-as-you-go"
        },
        {
          "label": "Token Plan",
          "url": "https://mimo.mi.com/docs/zh-CN/price/token-plan"
        }
      ],
      "api": {
        "available": true,
        "currency": "CNY",
        "unit": "元/百万 tokens",
        "models": [
          {
            "name": "mimo-v2.6-pro",
            "input": 3,
            "inputCacheHit": 0.025,
            "output": 6,
            "note": "支持 Batch 调用，Batch 价按标准价 5 折"
          },
          {
            "name": "mimo-v2.6-flash",
            "input": 1,
            "inputCacheHit": 0.02,
            "output": 2,
            "note": "支持 Batch 调用，Batch 价按标准价 5 折"
          },
          {
            "name": "mimo-v2.6-pro-ultraspeed",
            "input": 30,
            "inputCacheHit": 0.25,
            "output": 60,
            "note": "超高速推理，不支持 Batch"
          }
        ]
      },
      "plans": [
        {
          "name": "Lite",
          "price": 39,
          "period": "month",
          "note": "包年约 88 折，首购 88 折"
        },
        {
          "name": "Standard",
          "price": 99,
          "period": "month",
          "note": "包年约 88 折，首购 88 折"
        },
        {
          "name": "Pro",
          "price": 329,
          "period": "month",
          "note": "包年约 88 折，首购 88 折"
        },
        {
          "name": "Max",
          "price": 659,
          "period": "month",
          "note": "包年约 88 折，首购 88 折"
        },
        {
          "name": "Lite 包年",
          "price": 411.84,
          "period": "one-time",
          "note": "年付，每年 49.2B Credits"
        },
        {
          "name": "Standard 包年",
          "price": 1045.44,
          "period": "one-time",
          "note": "年付，每年 132B Credits"
        },
        {
          "name": "Pro 包年",
          "price": 3474.24,
          "period": "one-time",
          "note": "年付，每年 456B Credits"
        },
        {
          "name": "Max 包年",
          "price": 6959.04,
          "period": "one-time",
          "note": "年付，每年 984B Credits"
        },
        {
          "name": "团队版 Standard",
          "price": 99,
          "period": "seat-month",
          "note": "每席每月 110 亿 Credits"
        },
        {
          "name": "团队版 Pro",
          "price": 329,
          "period": "seat-month",
          "note": "每席每月 380 亿 Credits"
        },
        {
          "name": "团队版 Max",
          "price": 659,
          "period": "seat-month",
          "note": "每席每月 820 亿 Credits"
        },
        {
          "name": "团队版 Standard 包年",
          "price": 1044,
          "period": "one-time",
          "note": "每席每年，每席每月 110 亿 Credits"
        },
        {
          "name": "团队版 Pro 包年",
          "price": 3468,
          "period": "one-time",
          "note": "每席每年，每席每月 380 亿 Credits"
        },
        {
          "name": "团队版 Max 包年",
          "price": 6948,
          "period": "one-time",
          "note": "每席每年，每席每月 820 亿 Credits"
        }
      ],
      "free": "活动赠金 / 新号额度；TTS 系列模型限时免费，不消耗套餐 Credits",
      "note": "mimo-v2-pro、mimo-v2-omni、mimo-v2-tts 已于 2026-06-30 下线；mimo-v2.5-pro、mimo-v2.5 自 2026-10-14 18:00 起自动转发至 V2.6 系列，并将于 2026-10-21 10:00 正式下线；非高峰期（北京时间 0:00-8:00，即 UTC 16:00-24:00）0.8x 消耗系数"
    },
    {
      "id": "doubao",
      "category": "llm",
      "name": "豆包 Doubao",
      "vendor": "字节跳动",
      "links": [
        {
          "label": "官网",
          "url": "https://www.doubao.com"
        },
        {
          "label": "火山方舟",
          "url": "https://www.volcengine.com/product/ark"
        },
        {
          "label": "定价页",
          "url": "https://www.volcengine.com/docs/82379/1544106"
        }
      ],
      "api": {
        "available": true,
        "currency": "CNY",
        "unit": "元/百万 tokens",
        "models": [
          {
            "name": "Seed-2.1-Pro",
            "input": 6,
            "inputCacheHit": 1.2,
            "output": 30
          },
          {
            "name": "Seed-Evolving",
            "input": 6,
            "inputCacheHit": 1.2,
            "output": 30,
            "note": "最新旗舰，面向 Coding / Agent 持续迭代"
          },
          {
            "name": "Seed-2.1-Turbo",
            "input": 3,
            "inputCacheHit": 0.6,
            "output": 15
          },
          {
            "name": "Lite",
            "input": 0.6,
            "output": 3.6
          },
          {
            "name": "2.0-Code",
            "input": 3.2,
            "output": 16
          },
          {
            "name": "Seed-2.0-Pro",
            "input": 3.2,
            "inputCacheHit": 0.64,
            "output": 16,
            "tiers": [
              {
                "label": "32K–128K 输入",
                "input": 4.8,
                "inputCacheHit": 0.96,
                "output": 24
              },
              {
                "label": "128K–256K 输入",
                "input": 9.6,
                "inputCacheHit": 1.92,
                "output": 48
              }
            ]
          },
          {
            "name": "Seed-2.0-Lite",
            "input": 0.6,
            "inputCacheHit": 0.12,
            "output": 3.6,
            "tiers": [
              {
                "label": "32K–128K 输入",
                "input": 0.9,
                "inputCacheHit": 0.18,
                "output": 5.4
              },
              {
                "label": "128K–256K 输入",
                "input": 1.8,
                "inputCacheHit": 0.36,
                "output": 10.8
              }
            ]
          },
          {
            "name": "Seed-2.0-Mini",
            "input": 0.2,
            "inputCacheHit": 0.04,
            "output": 2,
            "tiers": [
              {
                "label": "32K–128K 输入",
                "input": 0.4,
                "inputCacheHit": 0.08,
                "output": 4
              },
              {
                "label": "128K–256K 输入",
                "input": 0.8,
                "inputCacheHit": 0.16,
                "output": 8
              }
            ]
          },
          {
            "name": "Seed-1.8",
            "input": 0.8,
            "inputCacheHit": 0.16,
            "output": 2,
            "tiers": [
              {
                "label": "0–32K 输入且输出 >0.2K",
                "input": 0.8,
                "inputCacheHit": 0.16,
                "output": 8
              },
              {
                "label": "32K–128K 输入",
                "input": 1.2,
                "inputCacheHit": 0.16,
                "output": 16
              },
              {
                "label": "128K–256K 输入",
                "input": 2.4,
                "inputCacheHit": 0.16,
                "output": 24
              }
            ]
          },
          {
            "name": "Seed-Character",
            "input": 0.8,
            "inputCacheHit": 0.16,
            "output": 2,
            "tiers": [
              {
                "label": "32K–128K 输入",
                "input": 1.2,
                "inputCacheHit": 0.16,
                "output": 6
              }
            ]
          },
          {
            "name": "Seed-Code",
            "input": 1.2,
            "inputCacheHit": 0.24,
            "output": 8,
            "tiers": [
              {
                "label": "32K–128K 输入",
                "input": 1.4,
                "inputCacheHit": 0.24,
                "output": 12
              },
              {
                "label": "128K–256K 输入",
                "input": 2.8,
                "inputCacheHit": 0.24,
                "output": 16
              }
            ]
          },
          {
            "name": "Seed-1.6",
            "input": 0.8,
            "inputCacheHit": 0.16,
            "output": 2,
            "tiers": [
              {
                "label": "0–32K 输入且输出 >0.2K",
                "input": 0.8,
                "inputCacheHit": 0.16,
                "output": 8
              },
              {
                "label": "32K–128K 输入",
                "input": 1.2,
                "inputCacheHit": 0.16,
                "output": 16
              },
              {
                "label": "128K–256K 输入",
                "input": 2.4,
                "inputCacheHit": 0.16,
                "output": 24
              }
            ]
          },
          {
            "name": "Seed-1.6-Lite",
            "input": 0.3,
            "inputCacheHit": 0.06,
            "output": 0.6,
            "tiers": [
              {
                "label": "0–32K 输入且输出 >0.2K",
                "input": 0.3,
                "inputCacheHit": 0.06,
                "output": 2.4
              },
              {
                "label": "32K–128K 输入",
                "input": 0.6,
                "inputCacheHit": 0.06,
                "output": 4
              },
              {
                "label": "128K–256K 输入",
                "input": 1.2,
                "inputCacheHit": 0.06,
                "output": 12
              }
            ]
          },
          {
            "name": "Seed-1.6-Flash",
            "input": 0.15,
            "inputCacheHit": 0.03,
            "output": 1.5,
            "tiers": [
              {
                "label": "32K–128K 输入",
                "input": 0.3,
                "inputCacheHit": 0.03,
                "output": 3
              },
              {
                "label": "128K–256K 输入",
                "input": 0.6,
                "inputCacheHit": 0.03,
                "output": 6
              }
            ]
          },
          {
            "name": "Seed-1.6-Vision",
            "input": 0.8,
            "inputCacheHit": 0.16,
            "output": 8,
            "tiers": [
              {
                "label": "32K–128K 输入",
                "input": 1.2,
                "inputCacheHit": 0.16,
                "output": 16
              },
              {
                "label": "128K–256K 输入",
                "input": 2.4,
                "inputCacheHit": 0.16,
                "output": 24
              }
            ]
          },
          {
            "name": "Seed-Translation",
            "input": 1.2,
            "output": 3.6
          },
          {
            "name": "1.5-Pro-32K",
            "input": 0.8,
            "inputCacheHit": 0.16,
            "output": 2
          },
          {
            "name": "1.5-Lite-32K",
            "input": 0.3,
            "inputCacheHit": 0.06,
            "output": 0.6
          },
          {
            "name": "1.5-Vision-Pro",
            "input": 3,
            "output": 9
          },
          {
            "name": "GLM-5.2",
            "input": 8,
            "inputCacheHit": 2,
            "output": 28
          },
          {
            "name": "GLM-5.3-Flash",
            "input": 0.8,
            "inputCacheHit": 0.23,
            "output": 2.8
          },
          {
            "name": "GLM-4.7",
            "input": 2,
            "inputCacheHit": 0.4,
            "output": 8,
            "tiers": [
              {
                "label": "0–32K 输入且输出 >0.2K",
                "input": 3,
                "inputCacheHit": 0.6,
                "output": 14
              },
              {
                "label": "32K–200K 输入",
                "input": 4,
                "inputCacheHit": 0.8,
                "output": 16
              }
            ]
          },
          {
            "name": "DeepSeek-V4-Pro",
            "input": 12,
            "inputCacheHit": 1,
            "output": 24,
            "tiers": [
              {
                "label": "8/28 起·在线推理（常规）",
                "input": 9,
                "inputCacheHit": 0.3,
                "output": 27,
                "highlight": true
              },
              {
                "label": "8/28 起·批量推理",
                "input": 4.5,
                "inputCacheHit": 0.3,
                "output": 13.5,
                "highlight": true
              }
            ]
          },
          {
            "name": "DeepSeek-V4-Flash",
            "input": 1,
            "inputCacheHit": 0.2,
            "output": 2,
            "tiers": [
              {
                "label": "8/21 起·在线推理（常规）",
                "input": 3,
                "inputCacheHit": 0.1,
                "output": 9,
                "highlight": true
              },
              {
                "label": "8/21 起·批量推理",
                "input": 1.5,
                "inputCacheHit": 0.1,
                "output": 4.5,
                "highlight": true
              },
              {
                "label": "8/28 起·在线推理（常规）",
                "input": 3,
                "inputCacheHit": 0.1,
                "output": 9,
                "highlight": true
              },
              {
                "label": "8/28 起·批量推理",
                "input": 1.5,
                "inputCacheHit": 0.1,
                "output": 4.5,
                "highlight": true
              }
            ]
          },
          {
            "name": "DeepSeek-V4.1-Flash",
            "input": 1,
            "inputCacheHit": 0.02,
            "output": 4,
            "tiers": [
              {
                "label": "高峰时段",
                "input": 2,
                "inputCacheHit": 0.04,
                "output": 8
              }
            ],
            "note": "空闲时段为除高峰时段外其余时间；高峰时段为北京时间周一至周五 09:00–12:00、14:00–18:00"
          },
          {
            "name": "Seed-2.1-Lite",
            "input": 0.8,
            "inputCacheHit": 0.16,
            "output": 2.7
          }
        ]
      },
      "plans": [
        {
          "name": "Coding Plan Lite 1个月",
          "price": 40,
          "period": "month"
        },
        {
          "name": "Coding Plan Lite 3个月",
          "price": 120,
          "period": "month"
        },
        {
          "name": "Coding Plan Pro 1个月",
          "price": 200,
          "period": "month"
        },
        {
          "name": "Coding Plan Pro 3个月",
          "price": 600,
          "period": "month"
        },
        {
          "name": "Agent Plan Small",
          "price": 40,
          "period": "month"
        },
        {
          "name": "Agent Plan Medium",
          "price": 200,
          "period": "month"
        },
        {
          "name": "Agent Plan Large",
          "price": 500,
          "period": "month"
        },
        {
          "name": "Agent Plan Max",
          "price": 1000,
          "period": "month"
        }
      ],
      "free": "方舟新用户约 100 万 tokens；Managed Agents 首次开通赠送 30 小时 Agent 运行时 + 500 次 web_search 调用",
      "note": "App 无公开固定月费"
    },
    {
      "id": "hunyuan",
      "category": "llm",
      "name": "腾讯混元 Hy3",
      "vendor": "腾讯",
      "links": [
        {
          "label": "官网",
          "url": "https://hy.tencent.com"
        },
        {
          "label": "TokenHub",
          "url": "https://cloud.tencent.com/product/tokenhub"
        },
        {
          "label": "定价页",
          "url": "https://cloud.tencent.com/document/product/1823/130055"
        }
      ],
      "api": {
        "available": true,
        "currency": "CNY",
        "unit": "元/百万 tokens",
        "models": [
          {
            "name": "Hy3",
            "input": 1,
            "inputCacheHit": 0.25,
            "output": 4
          },
          {
            "name": "Hy3 preview",
            "input": 1.2,
            "inputCacheHit": 0.4,
            "output": 4,
            "tiers": [
              {
                "label": "16K–32K 输入",
                "input": 1.6,
                "inputCacheHit": 0.6,
                "output": 6.4
              },
              {
                "label": ">32K 输入",
                "input": 2,
                "inputCacheHit": 0.8,
                "output": 8
              }
            ],
            "note": "2026-08-31 下线"
          },
          {
            "name": "Hy4 preview",
            "input": 6,
            "inputCacheHit": 0.3,
            "output": 18
          },
          {
            "name": "Hy-MT2-Pro",
            "input": 0.5,
            "output": 2
          },
          {
            "name": "Hy-MT2-Plus",
            "input": 0.5,
            "output": 2
          },
          {
            "name": "Hy-MT2-Lite",
            "input": 0.3,
            "output": 1.2
          },
          {
            "name": "Hy-Role-Latest",
            "input": 2.4,
            "output": 9.6
          },
          {
            "name": "Hy-Role",
            "input": 2.4,
            "output": 9.6
          }
        ]
      },
      "plans": [
        {
          "name": "Hy Token Plan Standard",
          "price": 28,
          "period": "month",
          "note": "28 元/月起"
        }
      ],
      "free": "新用户 100 万 tokens"
    },
    {
      "id": "longcat",
      "category": "llm",
      "name": "LongCat",
      "vendor": "美团",
      "links": [
        {
          "label": "官网",
          "url": "https://longcat.ai"
        },
        {
          "label": "LongCat Chat",
          "url": "https://longcat.chat"
        },
        {
          "label": "技术博客",
          "url": "https://tech.meituan.com"
        },
        {
          "label": "定价页",
          "url": "https://longcat.chat/platform/docs/pricing/long-cat-2.0"
        }
      ],
      "api": {
        "available": true,
        "currency": "USD",
        "unit": "$ / 每百万 tokens",
        "models": [
          {
            "name": "LongCat 2.0",
            "input": 0.75,
            "inputCacheHit": 0.015,
            "output": 2.95,
            "promo": {
              "input": 0.3,
              "inputCacheHit": 0.006,
              "output": 1.2
            },
            "note": "限时折扣价：输入 $0.3 / 缓存命中 $0.006 / 输出 $1.2"
          }
        ]
      },
      "plans": [],
      "free": "基准免费"
    },
    {
      "id": "kimi",
      "category": "llm",
      "name": "Kimi",
      "vendor": "月之暗面",
      "links": [
        {
          "label": "官网",
          "url": "https://www.kimi.com"
        },
        {
          "label": "开发者平台",
          "url": "https://platform.moonshot.cn"
        },
        {
          "label": "定价页",
          "url": "https://platform.kimi.com/docs/pricing"
        }
      ],
      "api": {
        "available": true,
        "currency": "CNY",
        "unit": "元/百万 tokens",
        "models": [
          {
            "name": "K3",
            "input": 20,
            "inputCacheHit": 2,
            "output": 100,
            "note": "旗舰，1M 上下文；缓存写入 TTL 5 分钟 ¥20 / 1 小时 ¥40"
          },
          {
            "name": "K2.7 Code",
            "input": 6.5,
            "inputCacheHit": 1.3,
            "output": 27,
            "note": "Coding 模型，262K 上下文"
          },
          {
            "name": "K2.7 Code Highspeed",
            "input": 13,
            "inputCacheHit": 2.6,
            "output": 54,
            "note": "K2.7 Code 高速版，262K 上下文"
          },
          {
            "name": "K2.6",
            "input": 6.5,
            "inputCacheHit": 1.1,
            "output": 27,
            "note": "支持视觉与文本输入"
          }
        ]
      },
      "plans": [
        {
          "name": "App 会员",
          "price": 49,
          "period": "month",
          "note": "49 / 99 / 199 / 699 元/月，包年约 39–599"
        }
      ],
      "free": "免费档基础额度极低"
    },
    {
      "id": "minimax",
      "category": "llm",
      "name": "MiniMax",
      "vendor": "稀宇科技",
      "links": [
        {
          "label": "官网",
          "url": "https://www.minimaxi.com"
        },
        {
          "label": "海螺 AI",
          "url": "https://hailuoai.com"
        },
        {
          "label": "定价页",
          "url": "https://platform.minimaxi.com/docs/guides/pricing-paygo"
        }
      ],
      "api": {
        "available": true,
        "currency": "CNY",
        "unit": "元/百万 tokens",
        "note": "优先服务按标准价格的 1.5 倍计费，调用时设置 service_tier=priority",
        "models": [
          {
            "name": "M3",
            "input": 2.1,
            "inputCacheHit": 0.42,
            "output": 8.4,
            "tiers": [
              {
                "label": ">512K 输入",
                "input": 4.2,
                "inputCacheHit": 0.84,
                "output": 16.8
              },
              {
                "label": "优先服务 ≤512K 输入",
                "input": 3.15,
                "inputCacheHit": 0.63,
                "output": 12.6
              },
              {
                "label": "优先服务 >512K 输入",
                "input": 6.3,
                "inputCacheHit": 1.26,
                "output": 25.2
              }
            ],
            "note": "永久五折价（≤512K 输入）"
          },
          {
            "name": "M2.7",
            "input": 2.1,
            "inputCacheHit": 0.42,
            "output": 8.4,
            "note": "另有 M2.7-highspeed（输入 ¥4.2 / 缓存命中 ¥0.42 / 输出 ¥16.8）"
          },
          {
            "name": "M2.7-highspeed",
            "input": 4.2,
            "inputCacheHit": 0.42,
            "output": 16.8
          },
          {
            "name": "M2.5",
            "input": 2.1,
            "inputCacheHit": 0.21,
            "output": 8.4
          },
          {
            "name": "M2.5-highspeed",
            "input": 4.2,
            "inputCacheHit": 0.21,
            "output": 16.8
          },
          {
            "name": "M2.1",
            "input": 2.1,
            "inputCacheHit": 0.21,
            "output": 8.4
          },
          {
            "name": "M2.1-highspeed",
            "input": 4.2,
            "inputCacheHit": 0.21,
            "output": 16.8
          },
          {
            "name": "M2",
            "input": 2.1,
            "inputCacheHit": 0.21,
            "output": 8.4
          }
        ]
      },
      "plans": [
        {
          "name": "海螺标准版",
          "price": 68,
          "period": "month",
          "note": "约 68 元/月"
        }
      ],
      "free": "有",
      "note": "API 有上调预告，请以官网实时价为准"
    },
    {
      "id": "glm",
      "category": "llm",
      "name": "GLM / 智谱",
      "vendor": "智谱 AI",
      "links": [
        {
          "label": "官网",
          "url": "https://www.zhipuai.cn"
        },
        {
          "label": "开放平台",
          "url": "https://open.bigmodel.cn"
        },
        {
          "label": "定价页",
          "url": "https://open.bigmodel.cn/pricing"
        }
      ],
      "api": {
        "available": true,
        "currency": "CNY",
        "unit": "元/百万 tokens",
        "models": [
          {
            "name": "GLM-5.3",
            "input": 8,
            "inputCacheHit": 2,
            "output": 28
          },
          {
            "name": "GLM-5.3-Flash",
            "input": 0.8,
            "inputCacheHit": 0.23,
            "output": 2.8,
            "note": "1M 上下文；支持图片、视频、文件、文本",
            "tiers": [
              {
                "label": "限时 5 折",
                "input": 0.4,
                "inputCacheHit": 0.115,
                "output": 1.4
              }
            ]
          },
          {
            "name": "GLM-5.3-FlashX",
            "input": 2,
            "inputCacheHit": 0.57,
            "output": 7,
            "note": "1M 上下文；支持图片、视频、文件、文本"
          },
          {
            "name": "GLM-5.2",
            "input": 8,
            "inputCacheHit": 2,
            "output": 28
          },
          {
            "name": "GLM-5.1",
            "input": 6,
            "inputCacheHit": 1.3,
            "output": 24,
            "tiers": [
              {
                "label": "0–32K 输入",
                "input": 6,
                "inputCacheHit": 1.3,
                "output": 24
              },
              {
                "label": ">32K 输入",
                "input": 8,
                "inputCacheHit": 2,
                "output": 28
              }
            ]
          },
          {
            "name": "GLM-5V-Turbo",
            "input": 5,
            "inputCacheHit": 1.2,
            "output": 22,
            "tiers": [
              {
                "label": "0–32K 输入",
                "input": 5,
                "inputCacheHit": 1.2,
                "output": 22
              },
              {
                "label": ">32K 输入",
                "input": 7,
                "inputCacheHit": 1.8,
                "output": 26
              }
            ]
          },
          {
            "name": "GLM-5-Turbo",
            "input": 5,
            "inputCacheHit": 1.2,
            "output": 22,
            "tiers": [
              {
                "label": "0–32K 输入",
                "input": 5,
                "inputCacheHit": 1.2,
                "output": 22
              },
              {
                "label": ">32K 输入",
                "input": 7,
                "inputCacheHit": 1.8,
                "output": 26
              }
            ]
          },
          {
            "name": "GLM-5",
            "input": 4,
            "inputCacheHit": 1,
            "output": 18,
            "tiers": [
              {
                "label": "0–32K 输入",
                "input": 4,
                "inputCacheHit": 1,
                "output": 18
              },
              {
                "label": ">32K 输入",
                "input": 6,
                "inputCacheHit": 1.5,
                "output": 22
              }
            ]
          },
          {
            "name": "GLM-4.7",
            "input": 2,
            "inputCacheHit": 0.4,
            "output": 8,
            "tiers": [
              {
                "label": "0–32K 输入，0–0.2K 输出",
                "input": 2,
                "inputCacheHit": 0.4,
                "output": 8
              },
              {
                "label": "0–32K 输入，>0.2K 输出",
                "input": 3,
                "inputCacheHit": 0.6,
                "output": 14
              },
              {
                "label": "32K–200K 输入",
                "input": 4,
                "inputCacheHit": 0.8,
                "output": 16
              }
            ]
          },
          {
            "name": "GLM-4.6V",
            "input": 1,
            "inputCacheHit": 0.2,
            "output": 3,
            "tiers": [
              {
                "label": "0–32K 输入",
                "input": 1,
                "inputCacheHit": 0.2,
                "output": 3
              },
              {
                "label": "32K–128K 输入",
                "input": 2,
                "inputCacheHit": 0.4,
                "output": 6
              }
            ]
          },
          {
            "name": "GLM-4.5-Air",
            "input": 0.8,
            "inputCacheHit": 0.16,
            "output": 2,
            "tiers": [
              {
                "label": "0–32K 输入，0–0.2K 输出",
                "input": 0.8,
                "inputCacheHit": 0.16,
                "output": 2
              },
              {
                "label": "0–32K 输入，>0.2K 输出",
                "input": 0.8,
                "inputCacheHit": 0.16,
                "output": 6
              },
              {
                "label": "32K–128K 输入",
                "input": 1.2,
                "inputCacheHit": 0.24,
                "output": 8
              }
            ]
          },
          {
            "name": "GLM-4.7-FlashX",
            "input": 0.5,
            "inputCacheHit": 0.1,
            "output": 3
          },
          {
            "name": "GLM-4.7-Flash",
            "raw": "免费"
          },
          {
            "name": "GLM-4.6V-FlashX",
            "input": 0.15,
            "inputCacheHit": 0.03,
            "output": 1.5,
            "tiers": [
              {
                "label": "0–32K 输入",
                "input": 0.15,
                "inputCacheHit": 0.03,
                "output": 1.5
              },
              {
                "label": "32K–128K 输入",
                "input": 0.3,
                "inputCacheHit": 0.03,
                "output": 3
              }
            ]
          },
          {
            "name": "GLM-4.6V-Flash",
            "raw": "免费"
          },
          {
            "name": "GLM-4.5V",
            "input": 2,
            "inputCacheHit": 0.4,
            "output": 6,
            "tiers": [
              {
                "label": "0–32K 输入",
                "input": 2,
                "inputCacheHit": 0.4,
                "output": 6
              },
              {
                "label": "32K–64K 输入",
                "input": 4,
                "inputCacheHit": 0.8,
                "output": 12
              }
            ]
          },
          {
            "name": "GLM-OCR",
            "input": 0.2,
            "output": 0.2
          },
          {
            "name": "GLM-TTS",
            "raw": "2元/万字符"
          }
        ],
        "note": "GLM-5.3 已发布（API 即将上线，暂仅 GLM Coding Plan 可用）；GLM-5.2 国内定价请以开放平台实时价为准；旗舰模型缓存命中限时免费；GLM-5.3-Flash 限时两周 5 折；Batch API 按标准价五折计费；缓存存储多数模型限时免费；GLM-TTS 按 2元/万字符 计费"
      },
      "plans": [
        {
          "name": "Coding Plan",
          "price": 94.4,
          "period": "month",
          "note": "Lite 94.4 / Pro 430.4 / Max 862.4 元/月"
        },
        {
          "name": "清言 App",
          "price": 19,
          "period": "month",
          "note": "19–79 元/月"
        }
      ],
      "free": "GLM-Flash 免费层"
    },
    {
      "id": "qwen",
      "category": "llm",
      "name": "通义 Qwen",
      "vendor": "阿里云",
      "links": [
        {
          "label": "官网",
          "url": "https://www.tongyi.com"
        },
        {
          "label": "定价页",
          "url": "https://help.aliyun.com/zh/model-studio/model-pricing"
        }
      ],
      "api": {
        "available": true,
        "currency": "CNY",
        "unit": "元/百万 tokens",
        "models": [
          {
            "name": "qwen3.8-max",
            "input": 12,
            "inputCacheHit": 1.5,
            "output": 36,
            "note": "2026-08-03 上线；2.4T MoE，1M 上下文，原生多模态；显式缓存命中 ¥1 / 显式创建 ¥15 / Batch 半价"
          },
          {
            "name": "qwen3.8-flash",
            "input": 0.8,
            "output": 2.7,
            "note": "1M 上下文；缓存命中享有折扣，Batch 半价"
          },
          {
            "name": "qwen3.8-2.4t-a95b",
            "input": 12,
            "output": 36,
            "note": "2.4T MoE，1M 上下文"
          },
          {
            "name": "qwen3.8-27b",
            "input": 3,
            "output": 12,
            "note": "27B 开源模型，1M 上下文"
          },
          {
            "name": "qwen3.8-omni-flash",
            "input": 0.8,
            "inputCacheHit": 0.1,
            "output": 2.7,
            "note": "全模态（文本 / 图片 / 视频 / 音频）"
          },
          {
            "name": "qwen3.7-max",
            "input": 12,
            "output": 36,
            "note": "限时五折（输入 ¥6 / 输出 ¥18）"
          },
          {
            "name": "qwen3.7-max-2026-06-08",
            "input": 12,
            "output": 36
          },
          {
            "name": "qwen3.7-max-2026-05-20",
            "input": 12,
            "output": 36
          },
          {
            "name": "qwen3.7-max-preview",
            "input": 12,
            "output": 36,
            "note": "仅思考模式"
          },
          {
            "name": "qwen3.7-max-2026-05-17",
            "input": 12,
            "output": 36
          },
          {
            "name": "qwen3.6-max-preview",
            "input": 9,
            "output": 54,
            "tiers": [
              {
                "label": "128K–256K 输入",
                "input": 15,
                "output": 90
              }
            ]
          },
          {
            "name": "qwen3-max",
            "input": 2.5,
            "output": 10,
            "tiers": [
              {
                "label": "32K–128K 输入",
                "input": 4,
                "output": 16
              },
              {
                "label": "128K–256K 输入",
                "input": 7,
                "output": 28
              }
            ]
          },
          {
            "name": "qwen3-max-2026-01-23",
            "input": 2.5,
            "output": 10,
            "tiers": [
              {
                "label": "32K–128K 输入",
                "input": 4,
                "output": 16
              },
              {
                "label": "128K–256K 输入",
                "input": 7,
                "output": 28
              }
            ]
          },
          {
            "name": "qwen3-max-2025-09-23",
            "input": 6,
            "output": 24,
            "tiers": [
              {
                "label": "32K–128K 输入",
                "input": 10,
                "output": 40
              },
              {
                "label": "128K–256K 输入",
                "input": 15,
                "output": 60
              }
            ],
            "note": "仅非思考模式"
          },
          {
            "name": "qwen3-max-preview",
            "input": 6,
            "output": 24,
            "tiers": [
              {
                "label": "32K–128K 输入",
                "input": 10,
                "output": 40
              },
              {
                "label": "128K–256K 输入",
                "input": 15,
                "output": 60
              }
            ]
          },
          {
            "name": "qwen-max",
            "input": 2.4,
            "output": 9.6,
            "note": "仅非思考模式"
          },
          {
            "name": "qwen3.7-plus",
            "input": 2,
            "output": 8,
            "tiers": [
              {
                "label": "256K–1M 输入",
                "input": 6,
                "output": 24
              }
            ]
          },
          {
            "name": "qwen3.7-plus-2026-05-26",
            "input": 2,
            "output": 8,
            "tiers": [
              {
                "label": "256K–1M 输入",
                "input": 6,
                "output": 24
              }
            ]
          },
          {
            "name": "qwen3.6-plus",
            "input": 2,
            "output": 12,
            "tiers": [
              {
                "label": "256K–1M 输入",
                "input": 8,
                "output": 48
              }
            ]
          },
          {
            "name": "qwen3.6-plus-2026-04-02",
            "input": 2,
            "output": 12,
            "tiers": [
              {
                "label": "256K–1M 输入",
                "input": 8,
                "output": 48
              }
            ]
          },
          {
            "name": "qwen3.5-plus",
            "input": 0.8,
            "output": 4.8,
            "tiers": [
              {
                "label": "128K–256K 输入",
                "input": 2,
                "output": 12
              },
              {
                "label": "256K–1M 输入",
                "input": 4,
                "output": 24
              }
            ]
          },
          {
            "name": "qwen3.5-plus-2026-04-20",
            "input": 0.8,
            "output": 4.8,
            "tiers": [
              {
                "label": "128K–256K 输入",
                "input": 2,
                "output": 12
              },
              {
                "label": "256K–1M 输入",
                "input": 4,
                "output": 24
              }
            ]
          },
          {
            "name": "qwen3.5-plus-2026-02-15",
            "input": 0.8,
            "output": 4.8,
            "tiers": [
              {
                "label": "128K–256K 输入",
                "input": 2,
                "output": 12
              },
              {
                "label": "256K–1M 输入",
                "input": 4,
                "output": 24
              }
            ]
          },
          {
            "name": "qwen-plus",
            "input": 0.8,
            "output": 2,
            "tiers": [
              {
                "label": "128K–256K 输入",
                "input": 2.4,
                "output": 20
              },
              {
                "label": "256K–1M 输入",
                "input": 4.8,
                "output": 48
              }
            ],
            "note": "思考模式（思维链+回答）输出：8元 / 24元 / 64元"
          },
          {
            "name": "qwen-plus-latest",
            "input": 0.8,
            "output": 2,
            "tiers": [
              {
                "label": "128K–256K 输入",
                "input": 2.4,
                "output": 20
              },
              {
                "label": "256K–1M 输入",
                "input": 4.8,
                "output": 48
              }
            ],
            "note": "思考模式（思维链+回答）输出：8元 / 24元 / 64元"
          },
          {
            "name": "qwen-plus-2025-12-01",
            "input": 0.8,
            "output": 2,
            "tiers": [
              {
                "label": "128K–256K 输入",
                "input": 2.4,
                "output": 20
              },
              {
                "label": "256K–1M 输入",
                "input": 4.8,
                "output": 48
              }
            ],
            "note": "思考模式（思维链+回答）输出：8元 / 24元 / 64元"
          },
          {
            "name": "qwen-plus-2025-09-11",
            "input": 0.8,
            "output": 2,
            "tiers": [
              {
                "label": "128K–256K 输入",
                "input": 2.4,
                "output": 20
              },
              {
                "label": "256K–1M 输入",
                "input": 4.8,
                "output": 48
              }
            ],
            "note": "思考模式（思维链+回答）输出：8元 / 24元 / 64元"
          },
          {
            "name": "qwen-plus-2025-07-28",
            "input": 0.8,
            "output": 2,
            "tiers": [
              {
                "label": "128K–256K 输入",
                "input": 2.4,
                "output": 20
              },
              {
                "label": "256K–1M 输入",
                "input": 4.8,
                "output": 48
              }
            ],
            "note": "思考模式（思维链+回答）输出：8元 / 24元 / 64元"
          },
          {
            "name": "qwen-plus-2025-07-14",
            "input": 0.8,
            "output": 2
          },
          {
            "name": "qwen-plus-2025-04-28",
            "input": 0.8,
            "output": 2
          },
          {
            "name": "qwen-plus-2025-01-25",
            "input": 0.8,
            "output": 2
          },
          {
            "name": "qwen-plus-2025-01-12",
            "input": 0.8,
            "output": 2
          },
          {
            "name": "qwen-plus-2024-12-20",
            "input": 0.8,
            "output": 2
          },
          {
            "name": "qwen3.7-flash",
            "input": 0.2,
            "output": 0.8,
            "tiers": [
              {
                "label": "32K–256K 输入",
                "input": 0.6,
                "output": 2.4
              },
              {
                "label": "256K–1M 输入",
                "input": 1.2,
                "output": 4.8
              }
            ]
          },
          {
            "name": "qwen3.7-max-us",
            "input": 18.736,
            "output": 56.207,
            "note": "限时五折（输入 ¥9.368 / 输出 ¥28.104）"
          },
          {
            "name": "qwen3.7-plus-us",
            "input": 2.998,
            "output": 11.991,
            "tiers": [
              {
                "label": "256K–1M 输入",
                "input": 8.993,
                "output": 35.972
              }
            ],
            "note": "限时八折"
          },
          {
            "name": "qwen-plus-us",
            "input": 2.936,
            "output": 8.807,
            "tiers": [
              {
                "label": "256K–1M 输入",
                "input": 8.807,
                "output": 26.421
              }
            ],
            "note": "思考模式（思维链+回答）输出：29.357元 / 88.071元"
          },
          {
            "name": "qwen-plus-2025-12-01-us",
            "input": 2.936,
            "output": 8.807,
            "tiers": [
              {
                "label": "256K–1M 输入",
                "input": 8.807,
                "output": 26.421
              }
            ],
            "note": "思考模式（思维链+回答）输出：29.357元 / 88.071元"
          }
        ],
        "note": "限时优惠：3.7-max 五折（输入 ¥6 / 输出 ¥18）、3.7-plus 八折（输入 ¥1.6 / 输出 ¥6.4）；flash 按输入长度分三档阶梯；支持显式 / 隐式缓存"
      },
      "plans": [
        {
          "name": "Token Plan Lite",
          "price": 39,
          "period": "month"
        },
        {
          "name": "Token Plan Standard",
          "price": 139,
          "period": "month"
        },
        {
          "name": "Token Plan Pro",
          "price": 499,
          "period": "month"
        }
      ],
      "free": "每模型 100 万 tokens / 90 天"
    },
    {
      "id": "ernie",
      "category": "llm",
      "name": "文心 ERNIE",
      "vendor": "百度",
      "links": [
        {
          "label": "官网",
          "url": "https://yiyan.baidu.com"
        },
        {
          "label": "千帆平台",
          "url": "https://qianfan.cloud.baidu.com"
        },
        {
          "label": "定价页",
          "url": "https://cloud.baidu.com/doc/qianfan/s/wmh4sv6ya"
        }
      ],
      "api": {
        "available": true,
        "currency": "CNY",
        "unit": "元/百万 tokens",
        "models": [
          {
            "name": "ERNIE 4.5 Turbo",
            "input": 0.8,
            "inputCacheHit": 0.2,
            "output": 3.2
          },
          {
            "name": "ERNIE 5.1",
            "input": 4,
            "output": 18,
            "note": "约 4 / 18"
          }
        ]
      },
      "plans": [],
      "free": "免费",
      "note": "文心一言 App 已于 2025-04 全面免费（历史会员退费）"
    },
    {
      "id": "spark",
      "category": "llm",
      "name": "讯飞星火",
      "vendor": "科大讯飞",
      "links": [
        {
          "label": "官网",
          "url": "https://xinghuo.xfyun.cn"
        },
        {
          "label": "定价页",
          "url": "https://xinghuo.xfyun.cn/pricing"
        }
      ],
      "api": {
        "available": true,
        "currency": "CNY",
        "unit": "元/百万 tokens",
        "models": [
          {
            "name": "Spark X2",
            "raw": "3"
          },
          {
            "name": "Spark X2 Flash",
            "raw": "2"
          },
          {
            "name": "Spark Ultra",
            "raw": "2"
          },
          {
            "name": "Spark Pro",
            "raw": "7"
          }
        ],
        "note": "原文档未区分输入/输出单价，按单一口径记录"
      },
      "plans": [
        {
          "name": "App 会员",
          "price": 15,
          "period": "month",
          "note": "首月 9.9"
        }
      ],
      "free": "Spark Lite 永久免费"
    },
    {
      "id": "step",
      "category": "llm",
      "name": "阶跃 Step",
      "vendor": "阶跃星辰",
      "links": [
        {
          "label": "官网",
          "url": "https://www.stepfun.com"
        },
        {
          "label": "开发者平台",
          "url": "https://platform.stepfun.com"
        },
        {
          "label": "定价页",
          "url": "https://platform.stepfun.com/docs/zh/guides/pricing/details"
        }
      ],
      "api": {
        "available": true,
        "currency": "CNY",
        "unit": "元/百万 tokens",
        "models": [
          {
            "name": "step-5-preview",
            "input": 7,
            "inputCacheHit": 0.7,
            "output": 20,
            "note": "旗舰推理模型；缓存命中价自 2026-10-14 起调整为 ¥0.7"
          },
          {
            "name": "step-3.7-flash",
            "input": 1.35,
            "inputCacheHit": 0.27,
            "output": 8.1,
            "note": "多模态推理"
          },
          {
            "name": "step-3.5-flash",
            "input": 0.7,
            "inputCacheHit": 0.14,
            "output": 2.1
          },
          {
            "name": "step-3.5-flash-2603",
            "input": 0.7,
            "inputCacheHit": 0.14,
            "output": 2.1
          },
          {
            "name": "step-1o-turbo-vision",
            "input": 2.5,
            "inputCacheHit": 0.5,
            "output": 8,
            "note": "视觉模型，图像按 token 计费"
          },
          {
            "name": "stepaudio-2.5-realtime",
            "input": 10,
            "inputCacheHit": 2,
            "output": 70
          },
          {
            "name": "stepaudio-2.5-chat",
            "input": 10,
            "inputCacheHit": 2,
            "output": 25
          },
          {
            "name": "step-1o-audio",
            "input": 25,
            "inputCacheHit": 5,
            "output": 60
          },
          {
            "name": "step-audio-2",
            "input": 10,
            "inputCacheHit": 2,
            "output": 70
          },
          {
            "name": "step-audio-r1.5",
            "input": 10,
            "inputCacheHit": 2,
            "output": 105
          },
          {
            "name": "stepaudio-2.5-tts",
            "raw": "5.8 元/万字符；语音复刻 9.9 元/音色",
            "price": 5.8
          },
          {
            "name": "step-tts-2",
            "raw": "2.8 元/万字符；语音复刻 9.9 元/音色",
            "price": 2.8
          },
          {
            "name": "step-tts-mini",
            "raw": "0.9 元/万字符；语音复刻 9.9 元/音色",
            "price": 0.9
          },
          {
            "name": "stepaudio-2.5-asr",
            "raw": "0.15 元/小时",
            "price": 0.15
          },
          {
            "name": "stepaudio-2.5-asr-stream",
            "raw": "1.2 元/小时",
            "price": 1.2
          },
          {
            "name": "stepaudio-2-asr-pro",
            "raw": "2 元/小时",
            "price": 2
          },
          {
            "name": "step-asr",
            "raw": "0.9 元/小时",
            "price": 0.9
          },
          {
            "name": "step-asr-1.1",
            "raw": "2.2 元/小时",
            "price": 2.2
          },
          {
            "name": "step-asr-1.1-stream",
            "raw": "2.6 元/小时",
            "price": 2.6
          },
          {
            "name": "step-2x-large",
            "raw": "0.1 元/张",
            "price": 0.1,
            "note": "已于 2026 年 06 月 12 日结束限时免费，按 0.1 元/张计费"
          },
          {
            "name": "step-image-edit-2",
            "raw": "0.02 元/张",
            "price": 0.02
          }
        ],
        "note": "非 Token 计费：语音合成 5.8/2.8/0.9 元/万字符，语音复刻 9.9 元/音色，语音识别 0.15~2.6 元/小时，文生图 0.1/0.02 元/张；增值能力：互联网搜索 0.04 元/次，文搜图 0.12 元/次，文件存储 0.5 元/GB/天。"
      },
      "plans": [
        {
          "name": "Step Plan Flash Mini",
          "price": 49,
          "period": "month",
          "note": "季/年优惠"
        },
        {
          "name": "Step Plan Plus",
          "price": 99,
          "period": "month",
          "note": "季/年优惠"
        },
        {
          "name": "Step Plan Pro",
          "price": 199,
          "period": "month",
          "note": "季/年优惠"
        },
        {
          "name": "Step Plan Max",
          "price": 699,
          "period": "month",
          "note": "季/年优惠"
        }
      ],
      "free": "有"
    },
    {
      "id": "trae-cn",
      "category": "agent-coding",
      "name": "Trae CN",
      "vendor": "字节跳动",
      "links": [
        {
          "label": "官网",
          "url": "https://www.trae.cn"
        },
        {
          "label": "定价页",
          "url": "https://www.trae.cn/pricing"
        },
        {
          "label": "计费文档",
          "url": "https://docs.trae.cn/ide_plans-and-billing"
        }
      ],
      "free": "有（新用户赠 4000 积分，每月登录赠 500，每日签到赠 200）",
      "plans": [
        {
          "name": "Lite",
          "price": 49,
          "period": "month",
          "note": "连续包月 45，首月 9.9；2000 积分/月，仅 TraeWork"
        },
        {
          "name": "Pro",
          "price": 99,
          "period": "month",
          "note": "连续包月 89，首月 59；4000 积分/月"
        },
        {
          "name": "Pro+",
          "price": 239,
          "period": "month",
          "note": "连续包月 219；12000 积分/月"
        },
        {
          "name": "Ultra",
          "price": 699,
          "period": "month",
          "note": "连续包月 629；40000 积分/月，新模型优先体验"
        }
      ],
      "supportedModels": [
        "Seed-2.1-Pro",
        "Seed-2.1-Turbo",
        "Seed-Code",
        "DeepSeek-V4-Flash",
        "DeepSeek-V4-Pro",
        "GLM-5.2",
        "GLM-5.1",
        "GLM-5",
        "Kimi-K3",
        "Kimi-K2.7-Code",
        "MiniMax-M3",
        "Qwen3.7-Plus",
        "自定义模型"
      ],
      "modelsNote": "Seed-2.1-Pro / DeepSeek-V4-Flash / Kimi-K3 需会员 Pro+ 及以上；支持自定义模型接入",
      "note": "2026 起改为积分制：调用内置模型按积分计费，可增购 1000 积分 ¥50；Seed-2.1-Turbo / Seed-Code 计费 2.5 折，GLM-5.2 有专属补贴"
    },
    {
      "id": "trae",
      "category": "agent-coding",
      "name": "Trae（国际版）",
      "vendor": "字节跳动",
      "links": [
        {
          "label": "官网",
          "url": "https://www.trae.ai"
        },
        {
          "label": "定价页",
          "url": "https://www.trae.ai/pricing"
        },
        {
          "label": "计费文档",
          "url": "https://docs.trae.ai/ide/plans-and-billing"
        }
      ],
      "free": "有（Free 档：每月 5000 次自动补全）",
      "plans": [
        {
          "name": "Lite",
          "price": 3,
          "currency": "USD",
          "period": "month",
          "note": "含 $5 用量"
        },
        {
          "name": "Pro",
          "price": 10,
          "currency": "USD",
          "period": "month",
          "note": "含 $20 用量，新用户 7 天免费试用"
        },
        {
          "name": "Pro+",
          "price": 30,
          "currency": "USD",
          "period": "month",
          "note": "含 $90 用量"
        },
        {
          "name": "Ultra",
          "price": 100,
          "currency": "USD",
          "period": "month",
          "note": "含 $400 用量，模型抢先体验"
        }
      ],
      "supportedModels": [
        "Claude",
        "GPT",
        "Gemini",
        "DeepSeek",
        "Kimi",
        "自定义模型"
      ],
      "modelsNote": "国际版以海外模型预设为主（Claude / GPT / Gemini），也内置 DeepSeek / Kimi；支持自定义模型接入",
      "note": "2026-02 起改为积分制（Basic Usage），按模型用量计费；与 Trae CN 为两个独立产品，账号 / 会员不互通"
    },
    {
      "id": "qoder",
      "category": "agent-coding",
      "name": "Qoder",
      "vendor": "阿里巴巴",
      "links": [
        {
          "label": "官网",
          "url": "https://qoder.com"
        },
        {
          "label": "定价页",
          "url": "https://qoder.com/pricing"
        },
        {
          "label": "计费文档",
          "url": "https://docs.qoder.com/zh/account/pricing"
        }
      ],
      "free": "体验版免费（300 Credits + 2 周 Pro）",
      "supportedModels": [
        "Qwen-Coder 系列",
        "Claude",
        "GPT",
        "Gemini"
      ],
      "modelsNote": "模型分级池选择，不同档位对应不同模型；支持接入 API 自定义模型",
      "plans": [
        {
          "name": "Pro",
          "price": 20,
          "currency": "USD",
          "period": "month"
        },
        {
          "name": "Pro+",
          "price": 60,
          "currency": "USD",
          "period": "month"
        },
        {
          "name": "Ultra",
          "price": 200,
          "currency": "USD",
          "period": "month"
        }
      ],
      "note": "新用户首次登录客户端（需最新版本，虚拟机不可用）可获一次性 2 周（14 天）Pro 试用，含 300 Credits 及 Pro 专属功能；试用到期自动降级为 Free 计划，未使用 Credits 清零；试用期内升级付费计划，剩余试用 Credits 将转为 Credit Pack 保留原有效期；Pro 试用每用户限一个账号，额外试用账号将被停用。月度 Credits 在每个计费周期开始时刷新，上月未使用 Credits 过期不结转。付费计划可随时升级至 Pro、Pro+ 或 Ultra，也可按需购买额外 Credit Pack；Free 计划仍可使用基础模型，但受每日和每月限额限制。支持 Visa、Mastercard、Alipay、Google Pay、Apple Pay。订阅后 24 小时内且未使用任何 Credits 可申请退款，过往计费周期费用不予退还，退款需发送账号与账单至 refund@qoder.com，退款处理需 5-10 天。"
    },
    {
      "id": "codebuddy",
      "category": "agent-coding",
      "name": "CodeBuddy",
      "vendor": "腾讯",
      "links": [
        {
          "label": "官网",
          "url": "https://www.codebuddy.cn"
        },
        {
          "label": "腾讯云",
          "url": "https://cloud.tencent.com/product/acc"
        },
        {
          "label": "定价页",
          "url": "https://www.codebuddy.cn/docs/ide/Account/pricing"
        }
      ],
      "free": "体验版（500 积分/月，免费）",
      "supportedModels": [
        "混元",
        "DeepSeek",
        "GLM",
        "Kimi",
        "GPT",
        "Gemini",
        "自定义模型"
      ],
      "modelsNote": "国内版内置混元 / DeepSeek / GLM / Kimi；国际版内置 GPT / Gemini 等",
      "plans": [
        {
          "name": "标准",
          "price": 99,
          "period": "month",
          "note": "连续包月 70 元/月；年付 840 元/年；连续包年 672 元/年；基础积分 2,000/月，限时加赠 2,000/月，每月实得 4,000 积分"
        },
        {
          "name": "高级",
          "price": 199,
          "period": "month",
          "note": "连续包月 140 元/月；年付 1,680 元/年；连续包年 1,344 元/年；基础积分 4,000/月，限时加赠 5,000/月，每月实得 9,000 积分"
        },
        {
          "name": "旗舰",
          "price": 999,
          "period": "month",
          "note": "连续包月 700 元/月；年付 8,400 元/年；连续包年 6,720 元/年；基础积分 20,000/月，限时加赠 30,000/月，每月实得 50,000 积分"
        },
        {
          "name": "企业",
          "price": 198,
          "period": "seat-month",
          "note": "企业旗舰版（SaaS 企业版），1 个坐席起购，含 2000 积分/人/月；按年购买 2,376 元/人/年"
        },
        {
          "name": "企业专享版",
          "price": 316,
          "period": "seat-month",
          "note": "专有云企业版，100 个坐席起购，含 2000 积分/人/月；按年购买 3,792 元/人/年"
        }
      ],
      "note": "CodeBuddy 和 WorkBuddy 同一账号积分共享，无需分别订阅；2026 年 7 月 1 日起国内个人版升级为标准/高级/旗舰三档；付费会员可购买加量包（个人版 1,000 积分/1 个月 50 元；企业版 6 个月：2,000 积分 100 元、5,000 积分 245 元、10,000 积分 480 元、50,000 积分 2,375 元、200,000 积分 9,200 元）。"
    },
    {
      "id": "qoder-cn",
      "category": "agent-coding",
      "name": "通义灵码（Qoder CN）",
      "vendor": "阿里云",
      "links": [
        {
          "label": "官网",
          "url": "https://lingma.aliyun.com"
        },
        {
          "label": "Qoder CN",
          "url": "https://qoder.com.cn"
        },
        {
          "label": "定价页",
          "url": "https://lingma.aliyun.com/pricing"
        }
      ],
      "free": "体验版免费（为期 2 周试用及 300 Credits）",
      "supportedModels": [
        "Qwen-Coder 系列",
        "Claude",
        "GPT",
        "DeepSeek"
      ],
      "modelsNote": "默认 Qwen-Coder，可接入 Claude / GPT / DeepSeek 等 API",
      "plans": [
        {
          "name": "专业版",
          "price": 59,
          "period": "month"
        },
        {
          "name": "高级版",
          "price": 169,
          "period": "month"
        },
        {
          "name": "旗舰版",
          "price": 559,
          "period": "month"
        },
        {
          "name": "团队版",
          "price": 99,
          "period": "seat-month"
        },
        {
          "name": "企业标准版",
          "price": 149,
          "period": "seat-month"
        },
        {
          "name": "企业专属版",
          "price": 199,
          "period": "seat-month"
        },
        {
          "name": "QoderWake 云电脑",
          "price": 59,
          "period": "month",
          "note": "原价 ¥99/月/台，有效期 1 个月，默认自动续费"
        }
      ],
      "note": "2026-05 起由通义灵码更名 Qoder CN，并改为积分制；个人资源包 ¥40/1,000 Credits（有效期 1 个月）；共享资源包 ¥80/2,000 Credits（有效期 3 个月）；专业版会员卡 ¥59/张（含 1 个月专业版及 2000 Credits，兑换有效期 90 天）；9 月限时：专业版 / 高级版首月 Credits 翻倍，续费也加赠；专业版月付首购加送 2,000 Qwen Credits，续费送 1,000；高级版月付首购加送 6,000 Qwen Credits，续费送 1,000；旗舰版月付续费送 1,000 Qwen Credits；专业版 4,000 Credits 限时；高级版 6,000 Credits；旗舰版 20,000 Credits；按年付费享 9 折；体验版、专业版、高级版、旗舰版和团队版现已支持 Qoder CN 全系列产品，包括 Qoder IDE、Mobile、JetBrains 插件、CLI、Agent SDK、Cloud Agents 和 QoderWake；企业专属版现已支持 Qoder CN 全系列产品，包括 Qoder IDE、Mobile、JetBrains 插件、CLI、Agent SDK、Cloud Agents 和 QoderWake；个人社区版 / Pro / Pro+ 已支持 Qoder CN 全家桶，包括 Desktop、JetBrains 插件、CLI、QoderWork、QoderWake、Mobile，VSC 插件停止演进；Enterprise VPC 已支持 Qoder CN Desktop、JetBrains 插件、CLI、QoderWork，VSC 插件停止演进"
    },
    {
      "id": "comate",
      "category": "agent-coding",
      "name": "文心快码 Comate",
      "vendor": "百度",
      "links": [
        {
          "label": "官网",
          "url": "https://comate.baidu.com"
        },
        {
          "label": "定价页",
          "url": "https://comate.baidu.com/zh/pricing/payment"
        }
      ],
      "free": "个人标准版永久免费",
      "supportedModels": [
        "文心 ERNIE"
      ],
      "modelsNote": "以百度文心 ERNIE 系列为默认模型",
      "plans": [
        {
          "name": "个人专业版",
          "price": 79,
          "period": "month",
          "note": "年付 669"
        },
        {
          "name": "企业",
          "price": 150,
          "period": "seat-month",
          "note": "150–358 元/人/月"
        },
        {
          "name": "个人·专业版（模型额度）",
          "price": 55,
          "period": "month",
          "note": "更优惠"
        },
        {
          "name": "个人·旗舰版（模型额度）",
          "price": 199,
          "period": "month",
          "note": "免费Auto-Free模式限时不限量至12月31日"
        },
        {
          "name": "连续包月",
          "price": 59,
          "period": "month",
          "note": "原价70，到期以￥59元/月自动续费"
        },
        {
          "name": "连续包季",
          "price": 159,
          "period": "month",
          "note": "原价210，到期以￥159元/季自动续费"
        },
        {
          "name": "月卡会员",
          "price": 69,
          "period": "month",
          "note": "原价70，约￥2.3/天"
        },
        {
          "name": "季卡会员",
          "price": 189,
          "period": "month",
          "note": "原价210，约￥2.1/天"
        },
        {
          "name": "年卡会员",
          "price": 599,
          "period": "month",
          "note": "原价840，约￥1.6/天"
        }
      ]
    },
    {
      "id": "zcode",
      "category": "agent-coding",
      "name": "ZCode",
      "vendor": "智谱 AI",
      "links": [
        {
          "label": "官网",
          "url": "https://zcode.z.ai/cn"
        },
        {
          "label": "定价页",
          "url": "https://bigmodel.cn/glm-coding"
        },
        {
          "label": "计费文档",
          "url": "https://docs.bigmodel.cn/cn/coding-plan/overview"
        }
      ],
      "free": "应用免费；新用户首次使用起 5 天内每日赠 500 万 token 体验额度（GLM-5.2 300 万 + GLM-5-Turbo 200 万）",
      "supportedModels": [
        "GLM-5.3",
        "GLM-5.2",
        "GLM-5-Turbo",
        "GLM-5.3-Flash",
        "自定义模型"
      ],
      "modelsNote": "内置 GLM 系列（GLM-5.3 / GLM-5.2 / GLM-5-Turbo / GLM-5.3-Flash 等）；所有套餐用户均支持 GLM-5.3-Flash（OX Alpha）与 GLM-5.3；也可通过 API Key 接入其他模型服务或企业自建渠道",
      "plans": [
        {
          "name": "Lite",
          "price": 94.4,
          "period": "month",
          "note": "连续包月价，原价 118；每周 10,000 积分"
        },
        {
          "name": "Pro",
          "price": 430.4,
          "period": "month",
          "note": "连续包月价，原价 538；6 倍 Lite 用量额度"
        },
        {
          "name": "Max",
          "price": 862.4,
          "period": "month",
          "note": "连续包月价，原价 1078；14 倍 Lite 用量额度"
        }
      ],
      "note": "Agentic 编程工具（应用本身免费），付费走 GLM Coding Plan 积分制；该套餐也支持 Claude Code 等 20+ 编程工具；订阅用户可免费使用闲时任务；海外版经 Z.ai 美元计费；支持连续包月、连续包季 8 折、连续包年 7 折；每 5 小时和每周执行用量额度限制"
    },
    {
      "id": "workbuddy",
      "category": "agent-office",
      "name": "WorkBuddy",
      "vendor": "腾讯",
      "links": [
        {
          "label": "官网",
          "url": "https://workbuddy.cn"
        },
        {
          "label": "腾讯云",
          "url": "https://cloud.tencent.com/product/workbuddy"
        },
        {
          "label": "定价页",
          "url": "https://cloud.tencent.com/document/product/1749/126592"
        }
      ],
      "free": "体验版 500 积分/月",
      "supportedModels": [
        "混元"
      ],
      "plans": [
        {
          "name": "标准",
          "price": 99,
          "period": "month",
          "note": "连续包月 70，年付 840，连续包年 672"
        },
        {
          "name": "高级",
          "price": 199,
          "period": "month",
          "note": "连续包月 140，年付 1680，连续包年 1344"
        },
        {
          "name": "旗舰",
          "price": 999,
          "period": "month",
          "note": "连续包月 700，年付 8400，连续包年 6720"
        },
        {
          "name": "进阶",
          "price": 140,
          "period": "month",
          "note": "另有进阶档 140"
        },
        {
          "name": "企业旗舰版（SaaS 企业版）",
          "price": 198,
          "period": "seat-month",
          "note": "1个坐席起购，按年购买 2376 元/人/年，包含 2,000 积分/人/月"
        },
        {
          "name": "企业专享版（专有云企业版）",
          "price": 316,
          "period": "seat-month",
          "note": "100个坐席起购，按年购买 3792 元/人/年，包含 2,000 积分/人/月"
        },
        {
          "name": "加量包 2,000 Credits",
          "price": 100,
          "period": "one-time",
          "note": "有效期 6 个月，企业旗舰版、企业专享版可购买"
        },
        {
          "name": "加量包 5,000 Credits",
          "price": 245,
          "period": "one-time",
          "note": "有效期 6 个月，企业旗舰版、企业专享版可购买"
        },
        {
          "name": "加量包 10,000 Credits",
          "price": 480,
          "period": "one-time",
          "note": "有效期 6 个月，企业旗舰版、企业专享版可购买"
        },
        {
          "name": "加量包 50,000 Credits",
          "price": 2375,
          "period": "one-time",
          "note": "有效期 6 个月，企业旗舰版、企业专享版可购买"
        },
        {
          "name": "加量包 200,000 Credits",
          "price": 9200,
          "period": "one-time",
          "note": "有效期 6 个月，企业旗舰版、企业专享版可购买"
        }
      ],
      "note": "CodeBuddy 和 WorkBuddy 同一账号积分共享；2026年7月1日起国内个人版升级为标准/高级/旗舰三档；2026年5月15日起执行新的企业版计费方案；企业私有化版需咨询售前；2026年5月15日 - 2026年8月14日期间新购（不含续费/扩容）企业旗舰版（SaaS 企业版）的客户，首月每个坐席额外赠送 2,000 Credits"
    },
    {
      "id": "marvis",
      "category": "agent-office",
      "name": "Marvis（马维斯）",
      "vendor": "腾讯应用宝",
      "links": [
        {
          "label": "官网",
          "url": "https://marvis.qq.com"
        }
      ],
      "free": "完全免费，每天赠 1000 万 Token",
      "supportedModels": [
        "混元"
      ],
      "plans": [],
      "note": "官方称长期免费不现实；无独立定价页"
    },
    {
      "id": "kimi-agent",
      "category": "agent-office",
      "name": "Kimi Agent / Work",
      "vendor": "月之暗面",
      "links": [
        {
          "label": "官网",
          "url": "https://www.kimi.com"
        },
        {
          "label": "定价页",
          "url": "https://www.kimi.com/zh-cn/help/membership/membership-pricing"
        }
      ],
      "free": "免费档（Adagio），K2.6 免费使用不消耗额度",
      "supportedModels": [
        "Kimi K 系列",
        "K3"
      ],
      "plans": [
        {
          "name": "Go",
          "price": 49,
          "period": "month",
          "note": "连续包年 ¥468/年，折合 ¥39/月；不包含 Kimi Code"
        },
        {
          "name": "Plus",
          "price": 99,
          "period": "month",
          "note": "连续包年 ¥948/年，折合 ¥79/月；可使用 Kimi Code 和 Agent 集群"
        },
        {
          "name": "Pro",
          "price": 199,
          "period": "month",
          "note": "连续包年 ¥1,908/年，折合 ¥159/月；含目标模式、专属 Kimi Claw"
        },
        {
          "name": "Max",
          "price": 699,
          "period": "month",
          "note": "连续包年 ¥6,708/年，折合 ¥559/月；更大额度和更高任务并行能力"
        },
        {
          "name": "Andante",
          "price": 49,
          "period": "month",
          "note": "旧套餐，已订阅用户套餐名称、权益规则和自动续费保持不变；仍可使用 Kimi Code，保留滚动 5 小时限额和周限额"
        },
        {
          "name": "Moderato",
          "price": 99,
          "period": "month",
          "note": "旧套餐，已订阅用户套餐名称、权益规则和自动续费保持不变；仍可使用 Kimi Code，保留滚动 5 小时限额和周限额"
        },
        {
          "name": "Allegretto",
          "price": 199,
          "period": "month",
          "note": "旧套餐，已订阅用户套餐名称、权益规则和自动续费保持不变；仍可使用 Kimi Code，保留滚动 5 小时限额和周限额"
        },
        {
          "name": "Allegro",
          "price": 699,
          "period": "month",
          "note": "旧套餐，已订阅用户套餐名称、权益规则和自动续费保持不变；仍可使用 Kimi Code，保留滚动 5 小时限额和周限额"
        },
        {
          "name": "Vivace",
          "price": 199,
          "period": "month",
          "currency": "USD",
          "note": "页面显示 $199/mo，对应人民币价格待确认"
        }
      ],
      "note": "当前国内新会员套餐为 Go、Plus、Pro、Max；连续包年最高可省 ¥1,680/年，年付价格为一次支付的全年总额，折合每月价格仅用于比较。所有会员功能共享月度额度池，按实际用量扣除，包月和包年会员均按月刷新，当期未使用额度不结转。新套餐 Plus 及以上 Kimi Code 有滚动 5 小时用量限额、无周限额；旧套餐保留滚动 5 小时限额和周限额。Kimi Claw 云主机每天下午 4 点扣除约会员额度 0.6% 的沙箱运行费用；Agent Website - Cloud Service 持续占用云端资源，约扣除会员额度 0.08%，取消发布后停止计费。",
      "modelsNote": "Kimi Code 另有滚动 5 小时用量限额，仅作用于 Kimi Code，不影响其他会员功能；旧套餐另有周限额。新套餐 Go 不包含 Kimi Code，Plus 及以上可使用。"
    },
    {
      "id": "doubao-agent",
      "category": "agent-office",
      "name": "豆包专业版 / 任务模式",
      "vendor": "字节跳动",
      "links": [
        {
          "label": "官网",
          "url": "https://www.doubao.com"
        }
      ],
      "free": "基础搜索 / 写作免费",
      "supportedModels": [
        "豆包 Seed 系列"
      ],
      "plans": [
        {
          "name": "标准",
          "price": 68,
          "period": "month",
          "note": "连续包月；年付 688"
        },
        {
          "name": "加强",
          "price": 200,
          "period": "month",
          "note": "连续包月；年付 2048"
        },
        {
          "name": "高级",
          "price": 500,
          "period": "month",
          "note": "连续包月；年付 5088"
        },
        {
          "name": "标准（单月）",
          "price": 80,
          "period": "month",
          "note": "不连续包月单月价"
        },
        {
          "name": "加强（单月）",
          "price": 240,
          "period": "month",
          "note": "不连续包月单月价"
        },
        {
          "name": "高级（单月）",
          "price": 599,
          "period": "month",
          "note": "不连续包月单月价"
        }
      ],
      "note": "订阅入口：产品内订阅"
    },
    {
      "id": "glm-claw",
      "category": "agent-office",
      "name": "智谱清言 GLM-Claw / AutoClaw",
      "vendor": "智谱 AI",
      "links": [
        {
          "label": "官网",
          "url": "https://zhipuai.cn"
        },
        {
          "label": "AutoClaw",
          "url": "https://autoclaw.zhipuai.cn"
        },
        {
          "label": "定价页",
          "url": "https://autoclaw.zhipuai.cn"
        }
      ],
      "free": "AutoClaw 基础免费（赠 200–2500 积分），新用户注册登录领取 2亿 tokens（价值120元），并提供每日免费积分额度",
      "supportedModels": [
        "GLM 系列",
        "DeepSeek 系列"
      ],
      "plans": [
        {
          "name": "AutoClaw 积分包",
          "price": 29,
          "period": "one-time",
          "note": "29 / 109 / 249 / 499 元（5000–100000 积分）"
        },
        {
          "name": "GLM Coding Plan",
          "price": 94.4,
          "period": "month",
          "note": "94.4–862.4 元/月"
        }
      ],
      "modelsNote": "默认搭载智谱 GLM 系列模型，支持长上下文任务处理；可在 DeepSeek、GLM 等不同模型之间热切换"
    },
    {
      "id": "ima",
      "category": "agent-office",
      "name": "ima",
      "vendor": "腾讯",
      "links": [
        {
          "label": "官网",
          "url": "https://ima.tencent.com"
        }
      ],
      "free": "基础免费（新用户赠 500 算力，每日赠 100）",
      "supportedModels": [
        "混元",
        "DeepSeek"
      ],
      "plans": [
        {
          "name": "算力按量",
          "price": 5,
          "period": "one-time",
          "note": "5 / 15 / 25 / 50 / 100 / 200 元 换 75–3000 算力（365 天）"
        }
      ],
      "note": "无独立月费页，App Store 按量计费"
    },
    {
      "id": "step-agent",
      "category": "agent-office",
      "name": "阶跃 AI / Amoo",
      "vendor": "阶跃星辰",
      "links": [
        {
          "label": "官网",
          "url": "https://www.stepfun.com"
        },
        {
          "label": "阶跃 AI",
          "url": "https://stepfun.ai"
        },
        {
          "label": "定价页",
          "url": "https://platform.stepfun.com/docs/zh/step-plan/overview"
        }
      ],
      "free": "基础免费",
      "supportedModels": [
        "step-5-preview",
        "step-3.7-flash",
        "step-3.5-flash",
        "step-3.5-flash-2603",
        "stepaudio-2.5-realtime",
        "stepaudio-2.5-chat",
        "stepaudio-2.5-tts",
        "stepaudio-2.5-asr",
        "step-router-v1",
        "step-image-edit-2"
      ],
      "plans": [
        {
          "name": "Step Plan Flash Mini",
          "price": 49,
          "period": "month",
          "note": "季付¥129/年付¥456，月度Credit 400M"
        },
        {
          "name": "Step Plan Flash Plus",
          "price": 99,
          "period": "month",
          "note": "季付¥269/年付¥936，月度Credit 1600M"
        },
        {
          "name": "Step Plan Flash Pro",
          "price": 199,
          "period": "month",
          "note": "季付¥539/年付¥1860，月度Credit 8000M"
        },
        {
          "name": "Step Plan Flash Max",
          "price": 699,
          "period": "month",
          "note": "季付¥1889/年付¥6666，月度Credit 40000M"
        },
        {
          "name": "小油包",
          "price": 49,
          "period": "one-time",
          "note": "含400M Credit，30天有效"
        },
        {
          "name": "大油包",
          "price": 99,
          "period": "one-time",
          "note": "含1600M Credit，30天有效"
        }
      ],
      "note": "阶跃 AI App 美区另议；1M Credit = ¥1，月池 Credit 月末清零不结转；季付/年付为一次性支付，Credit 仍按月发放；加油包仅向已订阅 Step Plan 的用户开放，周期单独 30 天；各档位均含 Studio 额外赠送相当于套餐 40% 的专属创作额度；扣费顺序按到期时间先后，优先扣减先到期的额度",
      "modelsNote": "全档位支持所有已列出模型，覆盖文本、推理、语音、图像编辑与智能路由等场景；Flash Plus 及以上档位另含优先 API 速率与优先技术支持"
    },
    {
      "id": "yuanbao",
      "category": "agent-office",
      "name": "腾讯元宝",
      "vendor": "腾讯",
      "links": [
        {
          "label": "官网",
          "url": "https://yuanbao.tencent.com"
        }
      ],
      "free": "全功能个人免费",
      "supportedModels": [
        "混元",
        "DeepSeek"
      ],
      "plans": [],
      "note": "无个人订阅；无独立定价页"
    }
  ]
}
