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MiniMax M3

by minimax · Released May 2026

Open SourceMultimodal1M Context
55.1
avg score
Rank #118
Compare
Better than 62% of all models
Context
1.0M tokens (~524 books)
Input $/1M
$0.30
Output $/1M
$1.20
Type
multimodal
License
Open Source
Benchmarks
35 tested
Data as of
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 35 benchmarks · BenchGecko score 55.1. Top scores: Chatbot Arena Elo — Coding (1482.0%), Chatbot Arena Elo — Overall (1440.1%), Artificial Analysis · GPQA Diamond (92.9%).

Looking for similar performance at lower cost?
Qwen3 235B A22B Thinking 2507 scores 55.3 (100% as good) at $0.23/1M input · 23% cheaper
Capabilities
coding
47.6
#101 globally
reasoning
61.9
#55 globally
math
74.0
#35 globally
knowledge
55.8
#87 globally
agentic
37.7
#32 globally
language
67.2
#88 globally
general
30.4
#123 globally
speed
55.3
#18 globally
Benchmark Scores
Compare All
Tested on 35 benchmarks · Ranked across 9 categories
Score Distribution (all 312 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·
SimpleBench

Deceptively simple questions that humans find easy but AI models often get wrong. Tests common sense and reasoning gaps.

35.0·
LiveBench — Mathematics

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

77.0·
OTIS Mock AIME 2024-2025

Mock AIME (American Invitational Mathematics Exam) problems from OTIS. Tests mathematical competition performance.

71.1·
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 55.1. Context window: 1M tokens.

Key facts · as of 2026-10-05

  • MiniMax M3 by minimax. BenchGecko score 55.1, rank 116 of 312 scored models (normalized average of public benchmark scores).
  • List price $0.30 input · $1.20 output per 1M tokens (as of 2026-10-05).
  • Gecko Tests · Gecko Score 67 (rank 2): Who Are You B (Knows who made it) · World Map C (92.8% of the map right) · Tokenizer Tax A (36% more tokens outside English).

How to cite · data as of 2026-10-05

MiniMax M3 · benchmarks, pricing and providers. BenchGecko, data as of 2026-10-05. https://benchgecko.ai/model/minimax-m3

Credit "Source: BenchGecko" with a link. Prices per provider and Gecko Tests are BenchGecko data (CC BY 4.0); benchmark scores keep their original source, listed in the JSON. JSON · llms.txt · MCP