MiniMax: MiniMax M3

MiniMax-M3 is a multimodal foundation model from MiniMax.

MiniMaxMiniMax M3

minimax/minimax-m3

2026-05-31text+image+video->text

Intelligence index

18.9

Artificial Analysis

Coding index

58.6

Artificial Analysis

Agentic index

29.5

Artificial Analysis

Design Arena

1288 Elo · #3

pdf · 62.9% wins

Input

$0.30

per 1M tokens

Output

$1.20

per 1M tokens

Cached input

$0.06

per 1M tokens

Context

1.0M

tokens it reads

Max output

512K

tokens it writes

MiniMax-M3 is a multimodal foundation model from MiniMax. It supports text, image, and video inputs with text output, a 1M-token context window, and is suited for long-horizon agentic work, coding,...

inspect — the catalog entry

{
  "id": "minimax/minimax-m3",
  "canonical_slug": "minimax/minimax-m3-20260531",
  "hugging_face_id": "MiniMaxAI/Minimax-M3",
  "name": "MiniMax: MiniMax M3",
  "created": 1780245374,
  "description": "MiniMax-M3 is a multimodal foundation model from MiniMax. It supports text, image, and video inputs with text output, a 1M-token context window, and is suited for long-horizon agentic work, coding,...",
  "context_length": 1048576,
  "architecture": {
    "modality": "text+image+video->text",
    "input_modalities": [
      "text",
      "image",
      "video"
    ],
    "output_modalities": [
      "text"
    ],
    "tokenizer": "Other",
    "instruct_type": null
  },
  "pricing": {
    "prompt": "0.0000003",
    "completion": "0.0000012",
    "input_cache_read": "0.00000006"
  },
  "top_provider": {
    "context_length": 524288,
    "max_completion_tokens": 512000,
    "is_moderated": false
  },
  "per_request_limits": null,
  "supported_parameters": [
    "frequency_penalty",
    "include_reasoning",
    "logit_bias",
    "logprobs",
    "max_tokens",
    "min_p",
    "presence_penalty",
    "reasoning",
    "repetition_penalty",
    "response_format",
    "seed",
    "stop",
    "structured_outputs",
    "temperature",
    "tool_choice",
    "tools",
    "top_k",
    "top_logprobs",
    "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-m3-20260531/endpoints"
  },
  "endpoints": [
    "/api/v1/chat/completions",
    "/api/v1/completions",
    "/api/v1/messages",
    "/api/v1/responses"
  ],
  "benchmarks": {
    "design_arena": [
      {
        "arena": "agents",
        "category": "agenticgamedev",
        "elo": 1114,
        "win_rate": 44.9,
        "rank": 18
      },
      {
        "arena": "agents",
        "category": "androidnative",
        "elo": 1158,
        "win_rate": 44.5,
        "rank": 24
      },
      {
        "arena": "agents",
        "category": "blender3d",
        "elo": 1072,
        "win_rate": 47.8,
        "rank": 15
      },
      {
        "arena": "agents",
        "category": "codetovideo",
        "elo": 1223,
        "win_rate": 56.1,
        "rank": 4
      },
      {
        "arena": "agents",
        "category": "fullstack",
        "elo": 1197,
        "win_rate": 47.2,
        "rank": 19
      },
      {
        "arena": "agents",
        "category": "htmlslides",
        "elo": 1076,
        "win_rate": 46.7,
        "rank": 14
      },
      {
        "arena": "agents",
        "category": "mobileapps",
        "elo": 1173,
        "win_rate": 46.4,
        "rank": 27
      },
      {
        "arena": "agents",
        "category": "pdf",
        "elo": 1288,
        "win_rate": 62.9,
        "rank": 3
      },
      {
        "arena": "agents",
        "category": "python-pptxslides",
        "elo": 1163,
        "win_rate": 47.5,
        "rank": 16
      },
      {
        "arena": "agents",
        "category": "spreadsheet",
        "elo": 1079,
        "win_rate": 45.8,
        "rank": 20
      },
      {
        "arena": "agents",
        "category": "webapps",
        "elo": 1193,
        "win_rate": 47.5,
        "rank": 24
      },
      {
        "arena": "models",
        "category": "3d",
        "elo": 1205,
        "win_rate": 50,
        "rank": 49
      },
      {
        "arena": "models",
        "category": "asciiart",
        "elo": 1155,
        "win_rate": 46.1,
        "rank": 43
      },
      {
        "arena": "models",
        "category": "codecategories",
        "elo": 1245,
        "win_rate": 50.6,
        "rank": 43
      },
      {
        "arena": "models",
        "category": "dataviz",
        "elo": 1234,
        "win_rate": 51.2,
        "rank": 45
      },
      {
        "arena": "models",
        "category": "gamedev",
        "elo": 1211,
        "win_rate": 45.6,
        "rank": 50
      },
      {
        "arena": "models",
        "category": "svg",
        "elo": 1157,
        "win_rate": 44.6,
        "rank": 46
      },
      {
        "arena": "models",
        "category": "uicomponent",
        "elo": 1241,
        "win_rate": 50.5,
        "rank": 44
      },
      {
        "arena": "models",
        "category": "website",
        "elo": 1256,
        "win_rate": 51.5,
        "rank": 41
      }
    ],
    "artificial_analysis": {
      "intelligence_index": 18.9,
      "coding_index": 58.6,
      "agentic_index": 29.5
    }
  },
  "reasoning": {
    "mandatory": false
  }
}

openrouter.ai/minimax/minimax-m3

References (1)

Stored model catalog — Nov 5, 2026

Via: OpenRouter
Id: openrouter/minimax/minimax-m3
Model id: minimax/minimax-m3
Name: MiniMax: MiniMax M3
Description: MiniMax-M3 is a multimodal foundation model from MiniMax.
Family: minimax
Canonical slug: minimax/minimax-m3-20260531
Price in: 0.3
Price out: 1.2
Price cache read: 0.06
Price cache write: null
Price cache write 1h: null
Price web search: null
Price overrides: []
Context: 1048576
Max completion tokens: 512000
Modality: text+image+video->text
Input modalities: ["text","image","video"]
Output modalities: ["text"]
Tokenizer: Other
Knowledge cutoff: null
Created: 1780245374
Moderated: false
Params: ["frequency_penalty","include_reasoning","logit_bias","logprobs","max_tokens","min_p","presence_penalty","reasoning","repetition_penalty","response_format","seed","stop","structured_outputs","temperature","tool_choice","tools","top_k","top_logprobs","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: false
Reasoning default enabled: null
Vision: true
Expiration date: null

Connected subjects

MiniMax