MiscSubjects

MiniMax: MiniMax M1

MiniMax-M1 is a large-scale, open-weight reasoning model designed for extended context and high-efficiency inference.

MiniMaxMiniMax M1
minimax/minimax-m1
2025-06-17text->textknows up to 2024-06-30
Input
$0.55
per 1M tokens
Output
$2.20
per 1M tokens
Context
1M
tokens it reads
Max output
40K
tokens it writes
MiniMax-M1 is a large-scale, open-weight reasoning model designed for extended context and high-efficiency inference. It leverages a hybrid Mixture-of-Experts (MoE) architecture paired with a custom "lightning attention" mechanism, allowing it...
inspect — the catalog entry
{
  "id": "minimax/minimax-m1",
  "canonical_slug": "minimax/minimax-m1",
  "hugging_face_id": null,
  "name": "MiniMax: MiniMax M1",
  "created": 1750200414,
  "description": "MiniMax-M1 is a large-scale, open-weight reasoning model designed for extended context and high-efficiency inference. It leverages a hybrid Mixture-of-Experts (MoE) architecture paired with a custom \"lightning attention\" mechanism, allowing it...",
  "context_length": 1000000,
  "architecture": {
    "modality": "text->text",
    "input_modalities": [
      "text"
    ],
    "output_modalities": [
      "text"
    ],
    "tokenizer": "Other",
    "instruct_type": null
  },
  "pricing": {
    "prompt": "0.00000055",
    "completion": "0.0000022"
  },
  "top_provider": {
    "context_length": 1000000,
    "max_completion_tokens": 40000,
    "is_moderated": false
  },
  "per_request_limits": null,
  "supported_parameters": [
    "frequency_penalty",
    "include_reasoning",
    "max_tokens",
    "presence_penalty",
    "reasoning",
    "repetition_penalty",
    "seed",
    "stop",
    "temperature",
    "tool_choice",
    "tools",
    "top_k",
    "top_p"
  ],
  "default_parameters": {
    "temperature": null,
    "top_p": null,
    "frequency_penalty": null
  },
  "supported_voices": null,
  "knowledge_cutoff": "2024-06-30",
  "expiration_date": null,
  "links": {
    "details": "/api/v1/models/minimax/minimax-m1/endpoints"
  },
  "endpoints": [
    "/api/v1/chat/completions",
    "/api/v1/completions",
    "/api/v1/messages",
    "/api/v1/responses"
  ],
  "reasoning": {
    "mandatory": false
  },
  "benchmarks": null
}
openrouter.ai/minimax/minimax-m1
References (1)
  1. Stored model catalog — Nov 5, 2026
Via
OpenRouter
Id
openrouter/minimax/minimax-m1
Model id
minimax/minimax-m1
Name
MiniMax: MiniMax M1
Description
MiniMax-M1 is a large-scale, open-weight reasoning model designed for extended context and high-efficiency inference.
Family
minimax
Canonical slug
minimax/minimax-m1
Price in
0.55
Price out
2.2
Price cache read
null
Price cache write
null
Price cache write 1h
null
Price web search
null
Price overrides
[]
Context
1000000
Max completion tokens
40000
Modality
text->text
Input modalities
["text"]
Output modalities
["text"]
Tokenizer
Other
Knowledge cutoff
2024-06-30
Created
1750200414
Moderated
false
Params
["frequency_penalty","include_reasoning","max_tokens","presence_penalty","reasoning","repetition_penalty","seed","stop","temperature","tool_choice","tools","top_k","top_p"]
Default parameters
{"temperature":null,"top_p":null,"frequency_penalty":null}
Tools
true
Reasoning
true
Reasoning efforts
null
Reasoning default effort
null
Reasoning mandatory
false
Reasoning default enabled
null
Vision
false
Expiration date
null

Connected subjects

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Page dataOpen JSON
page.json
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  "title": "MiniMax: MiniMax M1",
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  "status": "published",
  "summary": "MiniMax-M1 is a large-scale, open-weight reasoning model designed for extended context and high-efficiency inference.",
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    "name": "MiniMax: MiniMax M1",
    "description": "MiniMax-M1 is a large-scale, open-weight reasoning model designed for extended context and high-efficiency inference.",
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    "price_overrides": [],
    "context": 1000000,
    "max_completion_tokens": 40000,
    "modality": "text->text",
    "input_modalities": [
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    "tokenizer": "Other",
    "knowledge_cutoff": "2024-06-30",
    "created": 1750200414,
    "moderated": false,
    "params": [
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    "default_parameters": {
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    "tools": true,
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    "reasoning_efforts": null,
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    "reasoning_mandatory": false,
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    "vision": false,
    "expiration_date": null
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  "sources": [
    {
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  "provenance": {
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