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MiniMax: MiniMax M2.7 Coding Benchmark

MiniMax-M2.7 is a next-generation large language model designed for autonomous, real-world productivity and continuous improvement. Built to actively participate in its own evolution, M2.7 integrates advanced agentic capabilities through multi-agent...

Context204,800tokens
Max Output131,072tokens
Inputmodality
Price$0.30/1M input
Ranks from Kilo Code LeaderboardPricing via OpenRouter

Try MiniMax: MiniMax M2.7 in Kilo Code

Experience this model with the most popular open source coding agent. Free to start, pay only for AI usage. Use in popular IDEs like VS Code, JetBrains, command line, or cloud agents.

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Coding Performance

Coding benchmarks and performance metrics for development tasks

Security

Enkrypt AI red-team scores for MiniMax: MiniMax M2.7. Each value is the share of successful attacks on a 0–100 scale — lower is safer.

Overall risk
13.1

Lower is safer

Safety

21.4/ 100

Composite safety risk from Enkrypt red-team evaluations. Lower is safer.

NIST

13.0/ 100

Average attack success across NIST-mapped tests: bias, harm, toxicity, CBRN, and insecure code.

OWASP

15.0/ 100

Weighted average of the same tests using OWASP Top 10 for LLMs 2025 risk rankings.

Attack categories

Percentage of successful attacks in each Enkrypt red-team category.

Jailbreak2.2/ 100

Share of jailbreak tests that bypassed the model's safety constraints.

Bias45.5/ 100

Share of tests that elicited biased responses.

Harmful content2.2/ 100

Share of tests that produced dangerous, violent, or hateful content.

Toxicity1.8/ 100

Share of tests that produced toxic or abusive content.

CBRN15.0/ 100

Share of tests that elicited chemical, biological, radiological, or nuclear assistance.

Insecure code0.9/ 100

Share of tests that produced vulnerable or malicious code.

Score
Value
Overall risk
13.1 / 100
Safety
21.4 / 100
NIST
13.0 / 100
OWASP
15.0 / 100
Jailbreak
2.2 / 100
Bias
45.5 / 100
Harmful content
2.2 / 100
Toxicity
1.8 / 100
CBRN
15.0 / 100
Insecure code
0.9 / 100

Security scores from the Enkrypt AI Safety Leaderboard · Last checked Sep 11, 2026

OpenClaw Benchmarks

PinchBench measures how MiniMax: MiniMax M2.7 performs on real OpenClaw agent tasks: multi-step execution, tool use, recovery, latency, and cost.

Explore OpenClaw PinchBench run

Average score

71.7%

#39 of 50 official models

Average time

166m 25s

30 runs · per OpenClaw task

Average cost

$1.536

Per benchmark run

Category breakdown

Best verified PinchBench v2 run by OpenClaw task family.

Basic100.0% · 1/1 cleared
Coding100.0% · 1/1 cleared
Data Analysis100.0% · 1/1 cleared
File Ops100.0% · 3/3 cleared

Top task results

Highest-scoring benchmark tasks from the same submission.

File Ops
Create Project Structure
100.0%
Data Analysis
CSV and Excel Data Summarization
100.0%
Comprehension
Document Summarization
100.0%
File Ops
File Structure Creation
100.0%
Writing
Professional Email Drafting
100.0%
Basic
Sanity Check
100.0%

Autonomous task execution

MiniMax: MiniMax M2.7 shows emerging average success across OpenClaw-style benchmark runs, useful for recurring research, browser, and file-based automations.

Tool use and recovery

PinchBench tasks stress multi-step planning, tool calls, and judge-verified completion rather than single prompt coding snippets.

Agent workflow fit

Its deliberate average runtime and premium run cost help set expectations for long-running agents and production workflows.

Agentic benchmarks from the PinchBench Leaderboard

Real-World Usage

Real-world usage statistics from the Kilo Code community

Weekly Token Usage

Mode Rankings (Last Week)

Where this model ranks for each built-in mode

Code

Write, modify, and refactor code

No data

Ask

Get answers and explanations

#94

Debug

Diagnose and fix software issues

No data

Orchestrator

Coordinate tasks across multiple modes

No data

Real-world metrics from the Kilo Code Leaderboard

Pricing

Cost per 1 million tokens

Input Tokens
$0.30
per 1M tokens
Output Tokens
$1.20
per 1M tokens

Example Cost

Analyzing a 10,000 line codebase (≈40k input tokens, 10k output tokens) costs approximately $0.0240

Coding Capabilities

Features and parameters relevant to coding tasks

Coding Features

Function Calling
Can call external functions/APIs
Tool Choice
Control over function selection
Structured Outputs
JSON schema validation
Reasoning Tokens
Extended thinking for complex problems

Pricing details from OpenRouter

Technical Details

Architecture and implementation specifications

Specifications
Model ID
minimax/minimax-m2.7
Created
March 18, 2026
Tokenizer
Other
Input Modalities
Text
Context Window
204,800 tokens
Max Completion Tokens
131,072 tokens
Input Price
$0.30 per 1M tokens
Output Price
$1.20 per 1M tokens
Cache Read Price
$0.06 per 1M tokens
Content Moderation
Disabled

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  4. Start coding

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