OpenClaw接入白山智算平台：精选性能对比评测

1.白山智算API

如果你还在为token费用高而发愁，那不妨先体验一下白山智算家推出的活动——注册实名后直接送150元额度，2026年3月15号之前首次调用再送300元，加起来就是450元，而且额度永久不失效。如果觉得还不够，邀请一个好友还能再得200元，支持的模型包括MiniMax-M2.5、GLM-5等。这可以说是目前最有诚意的大模型API三方平台了。

2.修改C:Usersxxxx.openclawopenclaw.json

• 1. 把下面这个模板里的models.providers下的baishan:{}整个粘贴到你的openclaw.json里。
• 2. 把下面这个模板里的agents.defaults.model下的primary:{}的值复制到你的openclaw.json里。
• 3. 把下面这个模板里的agents.defaults下的models:{}的值复制到你的openclaw.json里。

{
  "meta": {
    "lastTouchedVersion": "2026.3.8",
    "lastTouchedAt": "2026-03-09T09:59:00.443Z"
  },
  "wizard": {
    "lastRunAt": "2026-03-09T09:59:00.436Z",
    "lastRunVersion": "2026.3.8",
    "lastRunCommand": "onboard",
    "lastRunMode": "local"
  },
  "models": {
    "mode": "merge",
    "providers": {
      "baishan": {
        "baseUrl": "https://api.edgefn.net/v1",
        "apiKey": "你的apikey",
        "api": "openai-completions",
        "models": [
          {
            "id": "MiniMax-M2.5",
            "name": "MiniMax-M2.5",
            "reasoning": false,
            "input": ["text"],
            "cost": {
              "input": 0,
              "output": 0,
              "cacheRead": 0,
              "cacheWrite": 0
            },
            "contextWindow": 196608,
            "maxTokens": 32768
          },
          {
            "id": "GLM-5",
            "name": "GLM-5",
            "reasoning": false,
            "input": ["text"],
            "cost": {
              "input": 0,
              "output": 0,
              "cacheRead": 0,
              "cacheWrite": 0
            },
            "contextWindow": 202752,
            "maxTokens": 16384
          },
          {
            "id": "GLM-4.7",
            "name": "GLM-4.7",
            "reasoning": false,
            "input": ["text"],
            "cost": {
              "input": 0,
              "output": 0,
              "cacheRead": 0,
              "cacheWrite": 0
            },
            "contextWindow": 202752,
            "maxTokens": 16384
          },
          {
            "id": "Kimi-K2-Instruct",
            "name": "Kimi-K2-Instruct",
            "reasoning": false,
            "input": ["text", "image"],
            "cost": {
              "input": 0,
              "output": 0,
              "cacheRead": 0,
              "cacheWrite": 0
            },
            "contextWindow": 262144,
            "maxTokens": 32768
          }
        ]
      }
    }
  },
  "agents": {
    "defaults": {
      "model": {
        "primary": "baishan/GLM-4.7"
      },
      "models": {
        "baishan/MiniMax-M2.5": {},
        "baishan/GLM-5": {},
        "baishan/GLM-4.7": {},
        "baishan/Kimi-K2-Instruct": {}
      },
      "workspace": "C:\Users\xxxx\.openclaw\workspace",
      "compaction": {
        "mode": "safeguard"
      },
      "maxConcurrent": 4,
      "subagents": {
        "maxConcurrent": 8
      }
    }
  },
  "tools": {
    "profile": "full"
  },
  "messages": {
    "ackReactionScope": "group-mentions"
  },
  "commands": {
    "native": "auto",
    "nativeSkills": "auto",
    "restart": true,
    "ownerDisplay": "raw"
  },
  "session": {
    "dmScope": "per-channel-peer"
  },
  "gateway": {
    "port": 18789,
    "mode": "local",
    "bind": "loopback",
    "auth": {
      "mode": "token",
      "token": "8498f6822e7327b8126d16a599f9ab6bfxxxxxxxx"
    },
    "tailscale": {
      "mode": "off",
      "resetOnExit": false
    },
    "nodes": {
      "denyCommands": [
        "camera.snap",
        "camera.clip",
        "screen.record",
        "contacts.add",
        "calendar.add",
        "reminders.add",
        "sms.send"
      ]
    }
  }
}

3.修改C:Users<用户名>.openclawagentsmainagentmodels.json

• 1. 把下面模板里的providers里面的baishan:{}复制到你的models.json里面

{
  "providers": {
    "baishan": {
      "baseUrl": "https://api.edgefn.net/v1",
      "apiKey": "你的apikey",
      "api": "openai-completions",
      "models": [
        {
          "id": "MiniMax-M2.5",
          "name": "MiniMax-M2.5",
          "reasoning": false,
          "input": ["text"],
          "cost": {
            "input": 0,
            "output": 0,
            "cacheRead": 0,
            "cacheWrite": 0
          },
          "contextWindow": 196608,
          "maxTokens": 32768,
          "api": "openai-completions"
        },
        {
          "id": "GLM-5",
          "name": "GLM-5",
          "reasoning": false,
          "input": ["text"],
          "cost": {
            "input": 0,
            "output": 0,
            "cacheRead": 0,
            "cacheWrite": 0
          },
          "contextWindow": 202752,
          "maxTokens": 16384,
          "api": "openai-completions"
        },
        {
          "id": "GLM-4.7",
          "name": "GLM-4.7",
          "reasoning": false,
          "input": ["text"],
          "cost": {
            "input": 0,
            "output": 0,
            "cacheRead": 0,
            "cacheWrite": 0
          },
          "contextWindow": 202752,
          "maxTokens": 16384,
          "api": "openai-completions"
        },
        {
          "id": "Kimi-K2-Instruct",
          "name": "Kimi-K2-Instruct",
          "reasoning": false,
          "input": ["text", "image"],
          "cost": {
            "input": 0,
            "output": 0,
            "cacheRead": 0,
            "cacheWrite": 0
          },
          "contextWindow": 262144,
          "maxTokens": 32768,
          "api": "openai-completions"
        }
      ]
    }
  }
}