MiniMax
Released June 17, 2025Cutoff June 2024

MiniMax M1

MiniMax M1 from MiniMax is a hybrid-attention reasoning model for long context, tool use, software engineering, and efficient reinforcement learning.

Inputs
Text
Outputs
Text

Model Overview

Capabilities, design details, and architectural traits

MiniMax M1 - hybrid-attention reasoning model

MiniMax M1 is built around hybrid attention and long-context reasoning. Its documented identity is a reasoning model with a large context window, long reasoning output, and agent and software engineering use cases.

Distinctive traitWhat is explicitly documented
Hybrid-attention designThe model uses a proprietary hybrid-attention setup with Lightning Attention.
Long-context reasoningIt supports a 1 million token context window and 80k token reasoning output.
CISPO reinforcement learningThe announcement names CISPO as the RL algorithm used to improve training efficiency.
Tool and software focusThe model is described as strong in software engineering, long context, and tool use.

Attention pattern

The key idea is not generic chat. The model is presented as a reasoning system that combines long input handling with efficient inference on deep context.

Training method

The release also names CISPO as a faster reinforcement learning method. The model is described as using this with Lightning Attention to improve efficiency in training and inference.

Benchmark Performance

Independent evaluations · Artificial Analysis

11.7%
Intelligence

Accuracy & Capability Details

GPQA - Graduate Science69.7%
Humanity's Last Exam8.9%
SciCode - Scientific Coding37.4%
Instruction Following41.8%
Long Context Reasoning57.7%
τ²-Bench - Agentic Tasks34.2%
TerminalBench - System Control3.0%

Compare Models Side-by-Side

Evaluate specifications, pricing, and independent benchmark indices

Model Details
General Info
ProviderMiniMaxAnthropicAnthropic
Release DateJune 17, 2025September 22, 2026September 28, 2026
Knowledge CutoffJun 2024-Jun 2026
Context & Limits
Context Window1M1M1M
Pricing (per 1M tokens)
Input Pricing
$0.55
Best Input Pricing
$4$2
Output Pricing
$2.20
Best Output Pricing
$20$10
Modalities
Inputs
text
textimagefile
textimagefile
Outputs
text
text
text
Benchmarks (0-100)
Intelligence Index11.7
57.6
Best Intelligence Index
56.0
Coding Index---
Agentic Index---
MiniMax M1
Claude Opus 5.5
Claude Sonnet 5.5

Humanity's Last Exam

Extremely difficult logical reasoning and knowledge.

9%
MiniMax M1
Humanity's Last Exam
Score: 9%
MiniMax M1
61%
Claude Opus 5.5
Humanity's Last Exam
Score: 61%
Claude Opus 5.5
55%
Claude Sonnet 5.5
Humanity's Last Exam
Score: 55%
Claude Sonnet 5.5

Long Context Reasoning

Logical reasoning over long context windows.

58%
MiniMax M1
Long Context Reasoning
Score: 58%
MiniMax M1
85%
Claude Opus 5.5
Long Context Reasoning
Score: 85%
Claude Opus 5.5
83%
Claude Sonnet 5.5
Long Context Reasoning
Score: 83%
Claude Sonnet 5.5

SciCode Benchmark

Scientific coding and mathematical modeling.

37%
MiniMax M1
SciCode Benchmark
Score: 37%
MiniMax M1
67%
Claude Opus 5.5
SciCode Benchmark
Score: 67%
Claude Opus 5.5
61%
Claude Sonnet 5.5
SciCode Benchmark
Score: 61%
Claude Sonnet 5.5

Independent evaluation data provided by Artificial Analysis. To view the latest benchmarks and full details, visit their official site.

Explore more from MiniMax

Other models by MiniMax

Top AI Models

Leading alternatives by intelligence score

View all