MiscSubjects

MiniMax: MiniMax M2.7

MiniMax-M2.7 is a next-generation large language model designed for autonomous, real-world productivity and continuous improvement.

MiniMaxMiniMax M2.7
minimax/minimax-m2.7
2026-03-18text->text
Coding index
52.6
Artificial Analysis
Agentic index
15.3
Artificial Analysis
Design Arena
1233 Elo · #46
dataviz · 52.3% wins
Input
$0.30
per 1M tokens
Output
$1.20
per 1M tokens
Cached input
$0.06
per 1M tokens
Context
205K
tokens it reads
Max output
131K
tokens it writes
MiniMax-M2.7 is a next-generation large language model designed for autonomous, real-world productivity and continuous improvement. Built to actively participate in its own evolution, M2.7 integrates advanced agentic capabilities through multi-agent...
inspect — the catalog entry
{
  "id": "minimax/minimax-m2.7",
  "canonical_slug": "minimax/minimax-m2.7-20260318",
  "hugging_face_id": "MiniMaxAI/MiniMax-M2.7",
  "name": "MiniMax: MiniMax M2.7",
  "created": 1773836697,
  "description": "MiniMax-M2.7 is a next-generation large language model designed for autonomous, real-world productivity and continuous improvement. Built to actively participate in its own evolution, M2.7 integrates advanced agentic capabilities through multi-agent...",
  "context_length": 204800,
  "architecture": {
    "modality": "text->text",
    "input_modalities": [
      "text"
    ],
    "output_modalities": [
      "text"
    ],
    "tokenizer": "Other",
    "instruct_type": null
  },
  "pricing": {
    "prompt": "0.0000003",
    "completion": "0.0000012",
    "input_cache_read": "0.00000006"
  },
  "top_provider": {
    "context_length": 204800,
    "max_completion_tokens": 131072,
    "is_moderated": false
  },
  "per_request_limits": null,
  "supported_parameters": [
    "frequency_penalty",
    "include_reasoning",
    "logit_bias",
    "max_tokens",
    "min_p",
    "presence_penalty",
    "reasoning",
    "repetition_penalty",
    "response_format",
    "seed",
    "stop",
    "temperature",
    "tool_choice",
    "tools",
    "top_k",
    "top_p"
  ],
  "default_parameters": {
    "temperature": 1,
    "top_p": 0.95,
    "top_k": null,
    "frequency_penalty": null,
    "presence_penalty": null,
    "repetition_penalty": null
  },
  "supported_voices": null,
  "knowledge_cutoff": null,
  "expiration_date": null,
  "links": {
    "details": "/api/v1/models/minimax/minimax-m2.7-20260318/endpoints"
  },
  "endpoints": [
    "/api/v1/chat/completions",
    "/api/v1/completions",
    "/api/v1/messages",
    "/api/v1/responses"
  ],
  "benchmarks": {
    "design_arena": [
      {
        "arena": "models",
        "category": "3d",
        "elo": 1191,
        "win_rate": 49.9,
        "rank": 54
      },
      {
        "arena": "models",
        "category": "asciiart",
        "elo": 1133,
        "win_rate": 46.2,
        "rank": 54
      },
      {
        "arena": "models",
        "category": "codecategories",
        "elo": 1232,
        "win_rate": 50.7,
        "rank": 50
      },
      {
        "arena": "models",
        "category": "dataviz",
        "elo": 1233,
        "win_rate": 52.3,
        "rank": 46
      },
      {
        "arena": "models",
        "category": "gamedev",
        "elo": 1208,
        "win_rate": 49.2,
        "rank": 52
      },
      {
        "arena": "models",
        "category": "svg",
        "elo": 1132,
        "win_rate": 46.9,
        "rank": 58
      },
      {
        "arena": "models",
        "category": "uicomponent",
        "elo": 1206,
        "win_rate": 48.5,
        "rank": 58
      },
      {
        "arena": "models",
        "category": "website",
        "elo": 1241,
        "win_rate": 51.3,
        "rank": 48
      }
    ],
    "artificial_analysis": {
      "intelligence_index": null,
      "coding_index": 52.6,
      "agentic_index": 15.3
    }
  },
  "reasoning": {
    "mandatory": true
  }
}
References (1)
  1. Stored model catalog — Nov 5, 2026
Via
OpenRouter
Id
openrouter/minimax/minimax-m2.7
Model id
minimax/minimax-m2.7
Name
MiniMax: MiniMax M2.7
Description
MiniMax-M2.7 is a next-generation large language model designed for autonomous, real-world productivity and continuous improvement.
Family
minimax
Canonical slug
minimax/minimax-m2.7-20260318
Price in
0.21
Price out
0.84
Price cache read
0.041999999999999996
Price cache write
null
Price cache write 1h
null
Price web search
null
Price overrides
[]
Context
204800
Max completion tokens
176947
Modality
text->text
Input modalities
["text"]
Output modalities
["text"]
Tokenizer
Other
Knowledge cutoff
null
Created
1773836697
Moderated
false
Params
["frequency_penalty","include_reasoning","logit_bias","max_tokens","min_p","presence_penalty","reasoning","repetition_penalty","response_format","seed","stop","temperature","tool_choice","tools","top_k","top_p"]
Default parameters
{"temperature":1,"top_p":0.95,"top_k":null,"frequency_penalty":null,"presence_penalty":null,"repetition_penalty":null}
Tools
true
Reasoning
true
Reasoning efforts
null
Reasoning default effort
null
Reasoning mandatory
true
Reasoning default enabled
null
Vision
false
Expiration date
null
Page dataOpen JSON
page.json
{
  "schema": "page/1",
  "id": "model:openrouter/minimax/minimax-m2.7",
  "kind": "AIModel",
  "title": "MiniMax: MiniMax M2.7",
  "layout": "item",
  "status": "published",
  "summary": "MiniMax-M2.7 is a next-generation large language model designed for autonomous, real-world productivity and continuous improvement.",
  "body": [
    {
      "type": "model",
      "id": "minimax/minimax-m2.7"
    }
  ],
  "hero": "",
  "facts": {
    "via": "OpenRouter",
    "id": "openrouter/minimax/minimax-m2.7",
    "model_id": "minimax/minimax-m2.7",
    "name": "MiniMax: MiniMax M2.7",
    "description": "MiniMax-M2.7 is a next-generation large language model designed for autonomous, real-world productivity and continuous improvement.",
    "family": "minimax",
    "canonical_slug": "minimax/minimax-m2.7-20260318",
    "price_in": 0.21,
    "price_out": 0.84,
    "price_cache_read": 0.041999999999999996,
    "price_cache_write": null,
    "price_cache_write_1h": null,
    "price_web_search": null,
    "price_overrides": [],
    "context": 204800,
    "max_completion_tokens": 176947,
    "modality": "text->text",
    "input_modalities": [
      "text"
    ],
    "output_modalities": [
      "text"
    ],
    "tokenizer": "Other",
    "knowledge_cutoff": null,
    "created": 1773836697,
    "moderated": false,
    "params": [
      "frequency_penalty",
      "include_reasoning",
      "logit_bias",
      "max_tokens",
      "min_p",
      "presence_penalty",
      "reasoning",
      "repetition_penalty",
      "response_format",
      "seed",
      "stop",
      "temperature",
      "tool_choice",
      "tools",
      "top_k",
      "top_p"
    ],
    "default_parameters": {
      "temperature": 1,
      "top_p": 0.95,
      "top_k": null,
      "frequency_penalty": null,
      "presence_penalty": null,
      "repetition_penalty": null
    },
    "tools": true,
    "reasoning": true,
    "reasoning_efforts": null,
    "reasoning_default_effort": null,
    "reasoning_mandatory": true,
    "reasoning_default_enabled": null,
    "vision": false,
    "expiration_date": null
  },
  "sources": [
    {
      "title": "Stored model catalog",
      "url": "https://openrouter.ai/api/v1/models",
      "date": "2026-11-05T13:17:06.933Z"
    }
  ],
  "widgets": [],
  "members": [],
  "relations": [
    {
      "ref": "provider:minimax.io",
      "rel": "published by"
    }
  ],
  "media": [],
  "tags": [],
  "query": {},
  "created": "2026-11-05T13:17:06.933Z",
  "updated": "2026-11-05T13:17:06.933Z",
  "provenance": {
    "store": "model-catalog",
    "id": "openrouter/minimax/minimax-m2.7",
    "key": "state/models/catalogue.json",
    "original_id": "openrouter/minimax/minimax-m2.7",
    "source_kind": "AIModel",
    "source_provider": "OpenRouter",
    "hash": "5c7ba6c230b411a333027e5a4b3d1657ba5d1df085b36a7bf32a4863f58bcc64"
  },
  "version": "dcbffd068fc9ec761ea47709455f176bc2cde41dd426784fd6a78f5701a8052e"
}