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MiniMax · Open weights

MiniMax M2.7 Turbo

Added Mar 18, 2026Open weights

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Use in the app

MiniMax M2.7 Turbo is the highspeed and higher priced route for M2.7.

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

Pricing

USD per 1M tokens
Input
$0.60
Output
$2.40
Cache read
$0.06

Reference prices as published by the model provider. API example

Specifications

Context window
204.8K
Max output
131.1K
Average output (7 days)
644 tokens
Longer than 58% of 465 models

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TryNvidia Nemotron 3 Ultra 550BQwen3.5 27B TEEGPT 5All 3

Public evaluations

Benchmarks

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

Intelligence Index

22.8

Better than 55% of 326 scored models

3.8Catalog models by score55.1

Indexes

  • Coding Index

    52.6

    Composite of the coding evaluations

    Better than 51% of 168 scored models

Agentic work

  • AutomationBench-AA

    4.4%

    Workflow automation, penalized for guardrail violations

    Better than 23% of 173 scored models

  • AutomationBench-AA tasks completed

    0.3%

    Workflows finished end to end without a guardrail violation

    Better than 19% of 173 scored models

  • AA-Briefcasev1.1

    718 Elo

    Agentic knowledge work, rated head to head

    Better than 24% of 166 scored models

  • GDPval-AAv2.1

    1,008 Elo

    Economically valuable occupational tasks, rated head to head

    Better than 35% of 187 scored models

Document reasoning

  • GDP.pdf

    6.0%

    Professional reasoning over PDF documents, all-pass rate

    Better than 25% of 171 scored models

  • AA-LCRv1.1

    78.3%

    Reasoning across long documents

    Better than 69% of 309 scored models

  • MLCR-AA

    5.6%

    Long-context reasoning over medical records

    Better than 18% of 121 scored models

Reasoning and knowledge

  • Humanity’s Last Exam

    29.6%

    Expert-level questions across academic fields

    Better than 61% of 323 scored models

  • GPQA Diamond

    87.4%

    Graduate-level science questions

    Better than 70% of 291 scored models

  • IFBench

    75.7%

    Following precise output instructions

    Better than 87% of 215 scored models

Coding

  • Terminal-Benchv4.0

    0.0%

    Practical software engineering in a terminal

    Better than 0% of 171 scored models

  • SciCode

    50.1%

    Scientific computing in Python

    Better than 47% of 174 scored models

Legacy evaluations

  • Terminal-Bench Hard

    39.4%

    Earlier terminal task suite

    Better than 76% of 212 scored models

  • τ²-Bench Telecom

    84.8%

    Tool use in a customer-support simulation

    Better than 65% of 214 scored models

  • AA-LCR (unversioned)

    78.3%

    Long-context reasoning, earlier grading

    Better than 69% 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-m2.7-turbo",
    "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-m2.7-turbo",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

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