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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 468 models

Side by side

MiniMax M2.7 Turbo compared

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

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MiniMax M2.7 TurboMiniMaxThis modelMiniMax LatestMiniMaxRemove
ProviderMiniMaxMiniMax
Discovery tierOpen weightsOpen weights
AddedMar 18, 2026May 3, 2026
Limits
Context window204.8K512KBest
Max output131.07KBest80K
Average output644 tokens—
Pricing, USD per 1M tokens
Input$0.60$0.23Best
Output$2.40$0.96Best
Cache read$0.06$0.05Best
Performance
Throughput—127.0 tok/s
Time to first token—1.1 s
Request success (24h)—99.9%
Benchmark indexes
Intelligence Index22.829.2Best
Coding Index52.658.6Best
Capabilities
ReasoningYesYes
ToolsYesYes
VisionNoYes
Structured outputYesYes
Reasoning effort——

Public evaluations

Benchmarks

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

  • MiniMax M2.7 Turbo
  • MiniMax Latest

Intelligence Index

  • MiniMax M2.7 Turbo22.8
  • MiniMax Latest29.2

MiniMax M2.7 Turbo: Better than 55% of 326 scored models

3.8Catalog models by score55.1

Indexes

  • Coding Index

    Composite of the coding evaluations

    • MiniMax M2.7 Turbo: 52.6
    • MiniMax Latest: 58.6Top

Agentic work

  • AutomationBench-AA

    Workflow automation, penalized for guardrail violations

    • MiniMax M2.7 Turbo: 4.4%
    • MiniMax Latest: 21.3%Top

  • AutomationBench-AA tasks completed

    Workflows finished end to end without a guardrail violation

    • MiniMax M2.7 Turbo: 0.3%
    • MiniMax Latest: 4.4%Top

  • Harvey LAB-AAv1.1

    Legal tasks passed in full, with no material hallucination

    • MiniMax M2.7 Turbo: —
    • MiniMax Latest: 0.0%

  • AA-Briefcasev1.1

    Agentic knowledge work, rated head to head

    • MiniMax M2.7 Turbo: 718 Elo
    • MiniMax Latest: 1,089 EloTop

  • GDPval-AAv2.1

    Economically valuable occupational tasks, rated head to head

    • MiniMax M2.7 Turbo: 1,008 Elo
    • MiniMax Latest: 1,243 EloTop

Document reasoning

  • GDP.pdf

    Professional reasoning over PDF documents, all-pass rate

    • MiniMax M2.7 Turbo: 6.0%
    • MiniMax Latest: 9.8%Top

  • AA-LCRv1.1

    Reasoning across long documents

    • MiniMax M2.7 Turbo: 78.3%
    • MiniMax Latest: 83.0%Top

  • MLCR-AA

    Long-context reasoning over medical records

    • MiniMax M2.7 Turbo: 5.6%Top
    • MiniMax Latest: 4.4%

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • MiniMax M2.7 Turbo: 29.6%
    • MiniMax Latest: 39.0%Top

  • GPQA Diamond

    Graduate-level science questions

    • MiniMax M2.7 Turbo: 87.4%
    • MiniMax Latest: 92.9%Top

  • IFBench

    Following precise output instructions

    • MiniMax M2.7 Turbo: 75.7%
    • MiniMax Latest: 82.9%Top

Coding

  • Terminal-Benchv4.0

    Practical software engineering in a terminal

    • MiniMax M2.7 Turbo: 0.0%
    • MiniMax Latest: 2.0%Top

  • SciCode

    Scientific computing in Python

    • MiniMax M2.7 Turbo: 50.1%Top
    • MiniMax Latest: 47.1%

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

    • MiniMax M2.7 Turbo: 39.4%
    • MiniMax Latest: 42.4%Top

  • τ²-Bench Telecom

    Tool use in a customer-support simulation

    • MiniMax M2.7 Turbo: 84.8%
    • MiniMax Latest: 88.9%Top

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • MiniMax M2.7 Turbo: 78.3%
    • MiniMax Latest: 83.0%Top

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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