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MiniMax

Pllan’s MiniMax provider defaults to MiniMax M2.7 and keeps MiniMax M2.5 in the catalog for compatibility.

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Model lineup

  • MiniMax-M2.7: default hosted text model.
  • MiniMax-M2.7-highspeed: faster M2.7 text tier.
  • MiniMax-M2.5: previous text model, still available in the MiniMax catalog.
  • MiniMax-M2.5-highspeed: faster M2.5 text tier.
  • MiniMax-VL-01: vision model for text + image inputs.

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Choose a setup

Best for: quick setup with MiniMax Coding Plan via OAuth, no API key required. Enable the bundled OAuth plugin and authenticate: 
pllan plugins enable minimax  # skip if already loaded.
pllan gateway restart  # restart if gateway is already running
pllan onboard --auth-choice minimax-portal
You will be prompted to select an endpoint:
  • Global - International users (api.minimax.io)
  • CN - Users in China (api.minimaxi.com)
See MiniMax plugin README for details.

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MiniMax M2.7 (API key)

Best for: hosted MiniMax with Anthropic-compatible API. Configure via CLI:
  • Run pllan configure
  • Select Model/auth
  • Choose a MiniMax auth option
{
  env: { MINIMAX_API_KEY: "sk-..." },
  agents: { defaults: { model: { primary: "minimax/MiniMax-M2.7" } } },
  models: {
    mode: "merge",
    providers: {
      minimax: {
        baseUrl: "https://api.minimax.io/anthropic",
        apiKey: "${MINIMAX_API_KEY}",
        api: "anthropic-messages",
        models: [
          {
            id: "MiniMax-M2.7",
            name: "MiniMax M2.7",
            reasoning: true,
            input: ["text"],
            cost: { input: 0.3, output: 1.2, cacheRead: 0.03, cacheWrite: 0.12 },
            contextWindow: 200000,
            maxTokens: 8192,
          },
          {
            id: "MiniMax-M2.7-highspeed",
            name: "MiniMax M2.7 Highspeed",
            reasoning: true,
            input: ["text"],
            cost: { input: 0.3, output: 1.2, cacheRead: 0.03, cacheWrite: 0.12 },
            contextWindow: 200000,
            maxTokens: 8192,
          },
          {
            id: "MiniMax-M2.5",
            name: "MiniMax M2.5",
            reasoning: true,
            input: ["text"],
            cost: { input: 0.3, output: 1.2, cacheRead: 0.03, cacheWrite: 0.12 },
            contextWindow: 200000,
            maxTokens: 8192,
          },
          {
            id: "MiniMax-M2.5-highspeed",
            name: "MiniMax M2.5 Highspeed",
            reasoning: true,
            input: ["text"],
            cost: { input: 0.3, output: 1.2, cacheRead: 0.03, cacheWrite: 0.12 },
            contextWindow: 200000,
            maxTokens: 8192,
          },
        ],
      },
    },
  },
}

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MiniMax M2.7 as fallback (example)

Best for: keep your strongest latest-generation model as primary, fail over to MiniMax M2.7. Example below uses Opus as a concrete primary; swap to your preferred latest-gen primary model. 
{
  env: { MINIMAX_API_KEY: "sk-..." },
  agents: {
    defaults: {
      models: {
        "anthropic/claude-opus-4-6": { alias: "primary" },
        "minimax/MiniMax-M2.7": { alias: "minimax" },
      },
      model: {
        primary: "anthropic/claude-opus-4-6",
        fallbacks: ["minimax/MiniMax-M2.7"],
      },
    },
  },
}

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Optional: Local via LM Studio (manual)

Best for: local inference with LM Studio. We have seen strong results with MiniMax M2.5 on powerful hardware (e.g. a desktop/server) using LM Studio’s local server. Configure manually via pllan.json: 
{
  agents: {
    defaults: {
      model: { primary: "lmstudio/minimax-m2.5-gs32" },
      models: { "lmstudio/minimax-m2.5-gs32": { alias: "Minimax" } },
    },
  },
  models: {
    mode: "merge",
    providers: {
      lmstudio: {
        baseUrl: "http://127.0.0.1:1234/v1",
        apiKey: "lmstudio",
        api: "openai-responses",
        models: [
          {
            id: "minimax-m2.5-gs32",
            name: "MiniMax M2.5 GS32",
            reasoning: true,
            input: ["text"],
            cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0 },
            contextWindow: 196608,
            maxTokens: 8192,
          },
        ],
      },
    },
  },
}

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Configure via pllan configure

Use the interactive config wizard to set MiniMax without editing JSON:
  1. Run pllan configure.
  2. Select Model/auth.
  3. Choose a MiniMax auth option.
  4. Pick your default model when prompted.

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Configuration options

  • models.providers.minimax.baseUrl: prefer https://api.minimax.io/anthropic (Anthropic-compatible); https://api.minimax.io/v1 is optional for OpenAI-compatible payloads.
  • models.providers.minimax.api: prefer anthropic-messages; openai-completions is optional for OpenAI-compatible payloads.
  • models.providers.minimax.apiKey: MiniMax API key (MINIMAX_API_KEY).
  • models.providers.minimax.models: define id, name, reasoning, contextWindow, maxTokens, cost.
  • agents.defaults.models: alias models you want in the allowlist.
  • models.mode: keep merge if you want to add MiniMax alongside built-ins.

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Notes

  • Model refs are minimax/<model>.
  • Default text model: MiniMax-M2.7.
  • Alternate text models: MiniMax-M2.7-highspeed, MiniMax-M2.5, MiniMax-M2.5-highspeed.
  • Coding Plan usage API: https://api.minimaxi.com/v1/api/openplatform/coding_plan/remains (requires a coding plan key).
  • Update pricing values in models.json if you need exact cost tracking.
  • Referral link for MiniMax Coding Plan (10% off): https://platform.minimax.io/subscribe/coding-plan?code=DbXJTRClnb&source=link
  • See /concepts/model-providers for provider rules.
  • Use pllan models list and pllan models set minimax/MiniMax-M2.7 to switch.

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Troubleshooting

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”Unknown model: minimax/MiniMax-M2.7”

This usually means the MiniMax provider isn’t configured (no provider entry and no MiniMax auth profile/env key found). A fix for this detection is in 2026.1.12 (unreleased at the time of writing). Fix by:
  • Upgrading to 2026.1.12 (or run from source main), then restarting the gateway.
  • Running pllan configure and selecting a MiniMax auth option, or
  • Adding the models.providers.minimax block manually, or
  • Setting MINIMAX_API_KEY (or a MiniMax auth profile) so the provider can be injected.
Make sure the model id is case‑sensitive:
  • minimax/MiniMax-M2.7
  • minimax/MiniMax-M2.7-highspeed
  • minimax/MiniMax-M2.5
  • minimax/MiniMax-M2.5-highspeed
Then recheck with: 
pllan models list