MiniMax · Open weights
MiniMax M2.7 Turbo
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.
| MiniMax M2.7 TurboMiniMaxThis model | GPT 5OpenAIRemove | |
|---|---|---|
| Provider | MiniMax | OpenAI |
| Discovery tier | Open weights | Frontier |
| Added | Mar 18, 2026 | Aug 7, 2025 |
| Limits | ||
| Context window | 204.8K | 400KBest |
| Max output | 131.07KBest | 128K |
| Average output | 644 tokens | 411 tokens |
| Pricing, USD per 1M tokens | ||
| Input | $0.60Best | $1.25 |
| Output | $2.40Best | $10.00 |
| Cache read | $0.06Best | $0.13 |
| Benchmark indexes | ||
| Intelligence Index | 22.8 | 23.0Best |
| Coding Index | 52.6Best | 37.8 |
| Math Index | — | 94.3 |
| Capabilities | ||
| Reasoning | Yes | Yes |
| Tools | Yes | Yes |
| Vision | No | Yes |
| Structured output | Yes | Yes |
| PDF input | No | Yes |
| Reasoning effort | — | minimal, low, medium, high |
Public evaluations
Benchmarks
Independent evaluation results, with how each score ranks among the models in the Noumen catalog.
- MiniMax M2.7 Turbo
- GPT 5
Intelligence Index
- MiniMax M2.7 Turbo22.8
- GPT 523.0
MiniMax M2.7 Turbo: Better than 55% of 326 scored models
Indexes
Coding Index
Composite of the coding evaluations
- MiniMax M2.7 Turbo: 52.6Top
- GPT 5: 37.8
Math Index
Composite of the math evaluations
- MiniMax M2.7 Turbo: —
- GPT 5: 94.3
Agentic work
AutomationBench-AA
Workflow automation, penalized for guardrail violations
- MiniMax M2.7 Turbo: 4.4%
- GPT 5: —
AutomationBench-AA tasks completed
Workflows finished end to end without a guardrail violation
- MiniMax M2.7 Turbo: 0.3%
- GPT 5: —
AA-Briefcasev1.1
Agentic knowledge work, rated head to head
- MiniMax M2.7 Turbo: 718 Elo
- GPT 5: —
GDPval-AAv2.1
Economically valuable occupational tasks, rated head to head
- MiniMax M2.7 Turbo: 1,008 EloTop
- GPT 5: 918 Elo
Document reasoning
GDP.pdf
Professional reasoning over PDF documents, all-pass rate
- MiniMax M2.7 Turbo: 6.0%
- GPT 5: —
AA-LCRv1.1
Reasoning across long documents
- MiniMax M2.7 Turbo: 78.3%Top
- GPT 5: 78.2%
MLCR-AA
Long-context reasoning over medical records
- MiniMax M2.7 Turbo: 5.6%
- GPT 5: —
Reasoning and knowledge
Humanity’s Last Exam
Expert-level questions across academic fields
- MiniMax M2.7 Turbo: 29.6%Top
- GPT 5: 28.5%
GPQA Diamond
Graduate-level science questions
- MiniMax M2.7 Turbo: 87.4%Top
- GPT 5: 85.4%
MMLU-Pro
Multi-subject knowledge and reasoning
- MiniMax M2.7 Turbo: —
- GPT 5: 87.1%
IFBench
Following precise output instructions
- MiniMax M2.7 Turbo: 75.7%Top
- GPT 5: 73.1%
Coding
Terminal-Benchv4.0
Practical software engineering in a terminal
- MiniMax M2.7 Turbo: 0.0%
- GPT 5: —
SciCode
Scientific computing in Python
- MiniMax M2.7 Turbo: 50.1%
- GPT 5: —
LiveCodeBench
Recent competitive programming problems
- MiniMax M2.7 Turbo: —
- GPT 5: 84.6%
Math
AIME 2025
Competition mathematics, 2025 problems
- MiniMax M2.7 Turbo: —
- GPT 5: 94.3%
AIME
Competition mathematics
- MiniMax M2.7 Turbo: —
- GPT 5: 95.7%
MATH-500
Competition math problems
- MiniMax M2.7 Turbo: —
- GPT 5: 99.4%
Legacy evaluations
Terminal-Bench Hard
Earlier terminal task suite
- MiniMax M2.7 Turbo: 39.4%Top
- GPT 5: 32.6%
τ²-Bench Telecom
Tool use in a customer-support simulation
- MiniMax M2.7 Turbo: 84.8%Top
- GPT 5: 84.8%Top
AA-LCR (unversioned)
Long-context reasoning, earlier grading
- MiniMax M2.7 Turbo: 78.3%Top
- GPT 5: 78.2%
Scores from Artificial Analysis, updated Oct 26, 2026. Artificial Analysis
- MiniMax M2.7 Turbo
- GPT 5
| Leaderboard | MiniMax M2.7 Turbo | GPT 5 |
|---|---|---|
| Vision Style Control · Captioning | Not in top 20 | #11 · 1196.0 |
| Vision Style Control · Entity Recognition | Not in top 20 | #4 · 1261.5 |
Ranks among Noumen catalog models on LMArena leaderboards. Only top-20 placements are listed.LMArena
Developers
Use it through the API
Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.
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)MiniMax
Related models
Other MiniMax models, starting with the same family.