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MiniMax · Open weights

MiniMax M2.1

Added Jan 20, 2025Open weights

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Use in the app

MiniMax M2.1 builds on M2 with enhanced context understanding and improved complex tool use. 230B parameter MoE model (10B active) optimized for agentic workflows and long-horizon tasks.

  • Reasoning
  • Tools
  • Structured output
Input
Text
Output
Text
Discovery tier
Open weights

Pricing

USD per 1M tokens
Input
$0.30
Output
$1.20
Cache read
$0.03

Reference prices as published by the model provider. API example

Specifications

Context window
200K
Max output
131.1K
Average output (7 days)
359 tokens
Longer than 37% of 465 models

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TryQwen3.5 397B A17B TEEGPT 5.1 Codex MiniDeepSeek V3.2 ThinkingAll 3

Public evaluations

Benchmarks

Independent evaluation results, with how each score ranks among the models in the Noumen catalog.

Intelligence Index

20.9

Better than 51% of 326 scored models

3.8Catalog models by score55.1

Indexes

  • Math Index

    82.7

    Composite of the math evaluations

    Better than 75% of 118 scored models

Document reasoning

  • AA-LCRv1.1

    67.7%

    Reasoning across long documents

    Better than 44% of 309 scored models

Reasoning and knowledge

  • Humanity’s Last Exam

    23.2%

    Expert-level questions across academic fields

    Better than 52% of 323 scored models

  • GPQA Diamond

    83.0%

    Graduate-level science questions

    Better than 54% of 291 scored models

  • MMLU-Pro

    87.5%

    Multi-subject knowledge and reasoning

    Better than 98% of 132 scored models

  • IFBench

    69.9%

    Following precise output instructions

    Better than 71% of 215 scored models

Coding

  • LiveCodeBench

    81.0%

    Recent competitive programming problems

    Better than 89% of 129 scored models

Math

  • AIME 2025

    82.7%

    Competition mathematics, 2025 problems

    Better than 75% of 118 scored models

Legacy evaluations

  • Terminal-Bench Hard

    28.8%

    Earlier terminal task suite

    Better than 53% of 212 scored models

  • τ²-Bench Telecom

    85.4%

    Tool use in a customer-support simulation

    Better than 69% of 214 scored models

  • AA-LCR (unversioned)

    67.7%

    Long-context reasoning, earlier grading

    Better than 44% of 309 scored models

Scores from Artificial Analysis, updated Oct 26, 2026. Artificial Analysis

Developers

Use it through the API

Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.

Read the quickstart
curl https://www.noumen.xyz/api/v1/chat/completions \
  -H "Authorization: Bearer $NOUMEN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "minimax/minimax-m2.1",
    "messages": [{ "role": "user", "content": "Explain this stack trace." }]
  }'
import os
from openai import OpenAI

client = OpenAI(base_url="https://www.noumen.xyz/api/v1", api_key=os.environ["NOUMEN_API_KEY"])
reply = client.chat.completions.create(
    model="minimax/minimax-m2.1",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

MiniMax

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