MiniMax: MiniMax M2.7

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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...

71.2% PinchBench§$0.28/1M input tokens
Context Window
196,608 tokens
Max Output
131,072 tokens
Input Modalities
text

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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Benchmarking MiniMax: MiniMax M2.7

PinchBench data · refreshed daily

OpenClaw Benchmarks

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

Average score

71.2%

#35 of 50 official models

Average time

164m 58s

29 runs · per OpenClaw task

Average cost

$1.508

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 KiloClaw 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

#39

Debug

Diagnose and fix software issues

#34

Orchestrator

Coordinate tasks across multiple modes

#39

Real-world metrics from the Kilo Code Leaderboard

Pricing

Cost per 1 million tokens

Input Tokens
$0.28
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 $0.0232

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

Model ID
minimax/minimax-m2.7
Created
March 18, 2026
Tokenizer
Other
Input Modalities
text
Context Window
196,608 tokens
Max Completion Tokens
131,072 tokens
Input Price
$0.28 per 1M tokens
Output Price
$1.20 per 1M tokens
Content Moderation
Disabled

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  1. 1.

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  3. 3.

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  4. 4.

    Start coding

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