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MiniMax · Open weights

MiniMax M2

Added Jan 12, 2025Open weights

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Use in the app

MiniMax M2 offers enhanced reasoning and strong general performance. Optimized for coding and agentic workflows.

  • Reasoning
Input
Text
Output
Text
Discovery tier
Open weights

Pricing

USD per 1M tokens
Input
$0.17
Output
$1.53

Reference prices as published by the model provider. API example

Specifications

Context window
200K
Max output
131.1K

Side by side

MiniMax M2 compared

Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.

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MiniMax M2MiniMaxThis modelPhi 4 MinimicrosoftRemove
ProviderMiniMaxmicrosoft
Discovery tierOpen weightsOpen weights
AddedJan 12, 2025Jul 26, 2025
Limits
Context window200KBest128K
Max output131.07KBest16.38K
Average output—24 tokens
Pricing, USD per 1M tokens
Input$0.17$0.17
Output$1.53$0.68Best
Performance
Request success (24h)90.3%100.0%Best
Benchmark indexes
Intelligence Index—6.3
Coding Index—3.8
Math Index—6.7
Capabilities
ReasoningYesNo
Reasoning effort——

Public evaluations

Benchmarks

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

  • MiniMax M2
  • Phi 4 Mini

Intelligence Index

  • MiniMax M2—
  • Phi 4 Mini6.3
3.8Catalog models by score55.1

Indexes

  • Coding Index

    Composite of the coding evaluations

    • MiniMax M2: —
    • Phi 4 Mini: 3.8

  • Math Index

    Composite of the math evaluations

    • MiniMax M2: —
    • Phi 4 Mini: 6.7

Document reasoning

  • AA-LCRv1.1

    Reasoning across long documents

    • MiniMax M2: —
    • Phi 4 Mini: 15.3%

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • MiniMax M2: —
    • Phi 4 Mini: 4.4%

  • GPQA Diamond

    Graduate-level science questions

    • MiniMax M2: —
    • Phi 4 Mini: 33.1%

  • MMLU-Pro

    Multi-subject knowledge and reasoning

    • MiniMax M2: —
    • Phi 4 Mini: 46.5%

  • IFBench

    Following precise output instructions

    • MiniMax M2: —
    • Phi 4 Mini: 21.1%

Coding

  • LiveCodeBench

    Recent competitive programming problems

    • MiniMax M2: —
    • Phi 4 Mini: 12.6%

Math

  • AIME 2025

    Competition mathematics, 2025 problems

    • MiniMax M2: —
    • Phi 4 Mini: 6.7%

  • AIME

    Competition mathematics

    • MiniMax M2: —
    • Phi 4 Mini: 3.0%

  • MATH-500

    Competition math problems

    • MiniMax M2: —
    • Phi 4 Mini: 69.6%

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

    • MiniMax M2: —
    • Phi 4 Mini: 0.0%

  • τ²-Bench Telecom

    Tool use in a customer-support simulation

    • MiniMax M2: —
    • Phi 4 Mini: 8.2%

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • MiniMax M2: —
    • Phi 4 Mini: 15.3%

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

Live routing data

Performance and reliability

Recent averages across requests routed for this model. Your own speed depends on prompt length, reasoning effort and load.

Request success (24h)
90.3%
Unstable
Hourly request success · last 72 hoursLowest hour 60.0%
  • Healthy (98% or more)
  • Degraded (90–98%)
  • Down (under 90%)
  • No requests

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",
    "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",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

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