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MiniMax M2.5

by minimax · Released Feb 2026

Open Source
59.0
avg score
Rank #91
Compare
Better than 67% of all models
Context
205K tokens (~102 books)
Input $/1M
$0.12
Output $/1M
$0.48
Type
text
License
Open Source
Benchmarks
21 tested
Data updated today
About

MiniMax-M2.5 is a SOTA large language model designed for real-world productivity. Trained in a diverse range of complex real-world digital working environments, M2.5 builds upon the coding expertise of M2.1...

Tested on 21 benchmarks with 55.1% average. Top scores: Chatbot Arena Elo — Overall (1390.6%), Chatbot Arena Elo — Coding (1382.0%), OpenCompass — IFEval (91.1%).

Capabilities
coding
59.7
#53 globally
reasoning
44.4
#74 globally
math
81.8
#19 globally
knowledge
51.6
#110 globally
agentic
6.2
#41 globally
language
67.8
#85 globally
Benchmark Scores
Compare All
Tested on 21 benchmarks · Ranked across 7 categories
Score Distribution (all 274 models)
0255075100
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OpenCompass — LiveCodeBenchV6

OpenCompass Live Code Bench v6. Fresh competitive programming problems to evaluate code generation without memorization.

73.6
LiveBench — Coding

Regularly refreshed coding problems that avoid data contamination. New problems added monthly to prevent memorization.

70.7
LiveBench — Agentic Coding

LiveBench coding tasks that require multi-step reasoning and tool use. Tests planning and execution of complex coding workflows.

51.7
ARC-AGI

Abstraction and Reasoning Corpus. Tests fluid intelligence through novel visual pattern recognition puzzles. Core measure of general intelligence.

63.7
LiveBench — Reasoning

Regularly refreshed reasoning problems testing logical deduction, spatial reasoning, and analytical thinking.

59.3
LiveBench — Data Analysis

Fresh data analysis tasks testing ability to interpret tables, charts, and statistical data.

49.6
OpenCompass — AIME2025

OpenCompass evaluation on AIME 2025 problems. Tests mathematical reasoning on fresh competition problems.

86.2
LiveBench — Mathematics

Regularly updated math problems that test numerical reasoning, algebra, calculus, and combinatorics.

77.4
Excellent (85+) Good (70-85) Average (50-70) Below (<50)
Links
Documentation
Community
BenchGecko API
minimax-m2-5
Specifications
  • Typetext
  • Context205K tokens (~102 books)
  • ReleasedFeb 2026
  • LicenseOpen Source
  • StatusActive
  • Cost / Message~$0.001
Available On
minimax logominimax$0.12
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MiniMax M2.5 is an open-source text AI model by minimax, released in February 2026. It has an average benchmark score of 59.0. Context window: 205K tokens.