MiscSubjects

MiniMax: MiniMax M2

MiniMax-M2 is a compact, high-efficiency large language model optimized for end-to-end coding and agentic workflows.

MiniMaxMiniMax M2
minimax/minimax-m2
2025-10-23text->text
Design Arena
1096 Elo · #66
svg · 55.3% wins
Input
$0.26
per 1M tokens
Output
$1.02
per 1M tokens
Context
205K
tokens it reads
Max output
131K
tokens it writes
MiniMax-M2 is a compact, high-efficiency large language model optimized for end-to-end coding and agentic workflows. With 10 billion activated parameters (230 billion total), it delivers near-frontier intelligence across general reasoning,...
inspect — the catalog entry
{
  "id": "minimax/minimax-m2",
  "canonical_slug": "minimax/minimax-m2",
  "hugging_face_id": "MiniMaxAI/MiniMax-M2",
  "name": "MiniMax: MiniMax M2",
  "created": 1761252093,
  "description": "MiniMax-M2 is a compact, high-efficiency large language model optimized for end-to-end coding and agentic workflows. With 10 billion activated parameters (230 billion total), it delivers near-frontier intelligence across general reasoning,...",
  "context_length": 204800,
  "architecture": {
    "modality": "text->text",
    "input_modalities": [
      "text"
    ],
    "output_modalities": [
      "text"
    ],
    "tokenizer": "Other",
    "instruct_type": null
  },
  "pricing": {
    "prompt": "0.000000255",
    "completion": "0.00000102"
  },
  "top_provider": {
    "context_length": 204800,
    "max_completion_tokens": 131072,
    "is_moderated": false
  },
  "per_request_limits": null,
  "supported_parameters": [
    "include_reasoning",
    "max_tokens",
    "reasoning",
    "temperature",
    "tool_choice",
    "tools",
    "top_p"
  ],
  "default_parameters": {
    "temperature": 1,
    "top_p": 0.95,
    "frequency_penalty": null
  },
  "supported_voices": null,
  "knowledge_cutoff": null,
  "expiration_date": "2026-11-05",
  "links": {
    "details": "/api/v1/models/minimax/minimax-m2/endpoints"
  },
  "endpoints": [
    "/api/v1/chat/completions",
    "/api/v1/completions",
    "/api/v1/messages",
    "/api/v1/responses"
  ],
  "benchmarks": {
    "design_arena": [
      {
        "arena": "models",
        "category": "3d",
        "elo": 1095,
        "win_rate": 48.3,
        "rank": 92
      },
      {
        "arena": "models",
        "category": "codecategories",
        "elo": 1133,
        "win_rate": 48.1,
        "rank": 99
      },
      {
        "arena": "models",
        "category": "dataviz",
        "elo": 1140,
        "win_rate": 50,
        "rank": 87
      },
      {
        "arena": "models",
        "category": "gamedev",
        "elo": 1118,
        "win_rate": 48.1,
        "rank": 91
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      {
        "arena": "models",
        "category": "svg",
        "elo": 1096,
        "win_rate": 55.3,
        "rank": 66
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      {
        "arena": "models",
        "category": "uicomponent",
        "elo": 1131,
        "win_rate": 49.2,
        "rank": 88
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      {
        "arena": "models",
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        "elo": 1141,
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    ]
  },
  "reasoning": {
    "mandatory": true
  }
}
References (1)
  1. Stored model catalog — Nov 5, 2026
Via
OpenRouter
Id
openrouter/minimax/minimax-m2
Model id
minimax/minimax-m2
Name
MiniMax: MiniMax M2
Description
MiniMax-M2 is a compact, high-efficiency large language model optimized for end-to-end coding and agentic workflows.
Family
minimax
Canonical slug
minimax/minimax-m2
Price in
0.255
Price out
1.02
Price cache read
null
Price cache write
null
Price cache write 1h
null
Price web search
null
Price overrides
[]
Context
204800
Max completion tokens
131072
Modality
text->text
Input modalities
["text"]
Output modalities
["text"]
Tokenizer
Other
Knowledge cutoff
null
Created
1761252093
Moderated
false
Params
["include_reasoning","max_tokens","reasoning","temperature","tool_choice","tools","top_p"]
Default parameters
{"temperature":1,"top_p":0.95,"frequency_penalty":null}
Tools
true
Reasoning
true
Reasoning efforts
null
Reasoning default effort
null
Reasoning mandatory
true
Reasoning default enabled
null
Vision
false
Expiration date
2026-11-05
Page dataOpen JSON
page.json
{
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  "id": "model:openrouter/minimax/minimax-m2",
  "kind": "AIModel",
  "title": "MiniMax: MiniMax M2",
  "layout": "item",
  "status": "published",
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  "body": [
    {
      "type": "model",
      "id": "minimax/minimax-m2"
    }
  ],
  "hero": "",
  "facts": {
    "via": "OpenRouter",
    "id": "openrouter/minimax/minimax-m2",
    "model_id": "minimax/minimax-m2",
    "name": "MiniMax: MiniMax M2",
    "description": "MiniMax-M2 is a compact, high-efficiency large language model optimized for end-to-end coding and agentic workflows.",
    "family": "minimax",
    "canonical_slug": "minimax/minimax-m2",
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    "context": 204800,
    "max_completion_tokens": 131072,
    "modality": "text->text",
    "input_modalities": [
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    "output_modalities": [
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    ],
    "tokenizer": "Other",
    "knowledge_cutoff": null,
    "created": 1761252093,
    "moderated": false,
    "params": [
      "include_reasoning",
      "max_tokens",
      "reasoning",
      "temperature",
      "tool_choice",
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      "top_p"
    ],
    "default_parameters": {
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    "tools": true,
    "reasoning": true,
    "reasoning_efforts": null,
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    "reasoning_mandatory": true,
    "reasoning_default_enabled": null,
    "vision": false,
    "expiration_date": "2026-11-05"
  },
  "sources": [
    {
      "title": "Stored model catalog",
      "url": "https://openrouter.ai/api/v1/models",
      "date": "2026-11-05T12:17:05.384Z"
    }
  ],
  "widgets": [],
  "members": [],
  "relations": [
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      "ref": "provider:minimax.io",
      "rel": "published by"
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  "tags": [],
  "query": {},
  "created": "2026-11-05T12:17:05.384Z",
  "updated": "2026-11-05T12:17:05.384Z",
  "provenance": {
    "store": "model-catalog",
    "id": "openrouter/minimax/minimax-m2",
    "key": "state/models/catalogue.json",
    "original_id": "openrouter/minimax/minimax-m2",
    "source_kind": "AIModel",
    "source_provider": "OpenRouter",
    "hash": "5976757d4dd6de4b125e5ae86f372514efb071f065f1009fb586061d1ffe3b77"
  },
  "version": "573ffac1a49f95c89cc4b376a9862f999511fd26aac62379d75fce8436d2a79a"
}