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MiniMax M3

by minimax · Released May 2026

Open SourceMultimodal1M Context
79.7
avg score
Rank #23
Compare
Better than 92% of all models
Context
1.0M tokens (~524 books)
Input $/1M
$0.30
Output $/1M
$1.20
Type
multimodal
License
Open Source
Benchmarks
13 tested
Data updated today
About

MiniMax-M3 is a multimodal foundation model from MiniMax. It supports text, image, and video inputs with text output, a 1M-token context window, and is suited for long-horizon agentic work, coding,...

Tested on 13 benchmarks with 70.0% average. Top scores: Chatbot Arena Elo — Coding (1504.9%), Chatbot Arena Elo — Overall (1448.2%), LiveBench — Mathematics (77.0%).

Capabilities
coding
64.1
#37 globally
reasoning
75.3
#21 globally
math
77.0
#28 globally
knowledge
70.0
#20 globally
language
67.2
#86 globally
speed
76.9
#17 globally
Benchmark Scores
Compare All
Tested on 13 benchmarks · Ranked across 7 categories
Score Distribution (all 274 models)
0255075100
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LiveBench — Coding

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

68.2
LiveBench — Agentic Coding

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

60.0
LiveBench — Data Analysis

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

76.2
LiveBench — Reasoning

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

74.5
LiveBench — Mathematics

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

77.0
Excellent (85+) Good (70-85) Average (50-70) Below (<50)
Links
Documentation
Community
BenchGecko API
minimax-m3
Specifications
  • Typemultimodal
  • Context1.0M tokens (~524 books)
  • ReleasedMay 2026
  • LicenseOpen Source
  • StatusActive
  • Cost / Message~$0.002
Available On
minimax logominimax$0.30
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MiniMax M3 is an open-source multimodal AI model by minimax, released in May 2026. It has an average benchmark score of 79.7. Context window: 1M tokens.