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MiniMax: MiniMax M2 Coding Benchmark

MiniMax-M2 is a compact, high-efficiency large language model optimized for end-to-end coding and agentic workflows. With 10 billion activated parameters (230 billion total), it delivers near-frontier intelligence across general reasoning,...

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

Try MiniMax: MiniMax M2 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. Each value is the share of successful attacks on a 0–100 scale — lower is safer.

Overall risk
17.6

Lower is safer

Safety

22.9/ 100

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

NIST

18.0/ 100

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

OWASP

21.0/ 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.

Jailbreak5.9/ 100

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

Bias48.1/ 100

Share of tests that elicited biased responses.

Harmful content10.6/ 100

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

Toxicity0.9/ 100

Share of tests that produced toxic or abusive content.

CBRN14.0/ 100

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

Insecure code14.7/ 100

Share of tests that produced vulnerable or malicious code.

Score
Value
Overall risk
17.6 / 100
Safety
22.9 / 100
NIST
18.0 / 100
OWASP
21.0 / 100
Jailbreak
5.9 / 100
Bias
48.1 / 100
Harmful content
10.6 / 100
Toxicity
0.9 / 100
CBRN
14.0 / 100
Insecure code
14.7 / 100

Security scores from the Enkrypt AI Safety Leaderboard · Last checked Sep 17, 2026

Real-World Usage

Real-world usage statistics from the Kilo Code community

Weekly Token Usage

No ranking data available for this model yet.

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
Created
October 23, 2025
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
Content Moderation
Disabled

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