Toolbit.aiToolbit.ai

Find, compare, and explore the best AI tools to match your specific tasks and use cases.

Explore

  • AI Search
  • Compare ToolsNew
  • Browse Categories
  • Trending Tools
  • Most Popular
  • New Additions

Resources

  • Updates HubNew
  • AI News
  • ModelsNew
  • Blog Articles
  • NewsletterNew

Company

  • Launch a Tool
  • Advertise with Us
  • Guest Post
  • Contact Us
© 2026 Toolbit.ai. All rights reserved.
Privacy PolicyTerms & ConditionsDisclaimer
There's An AI For That favicon
There's An AI For That•The front page of AI for everyone
Toolbit.ai
Toolbit.ai
UpdatesNew
Blog
Toolbit.ai
Toolbit.ai
Toolbit.ai
Toolbit.ai
UpdatesNew
Blog
Sign in
  1. Home
  2. Updates
  3. Models
  4. MiniMax M2.1
MiniMax
Released December 23, 2025

MiniMax M2.1

MiniMax M2.1 from MiniMax is a model for polyglot programming, precision code refactoring, tool use, and office workflows.

Visit MiniMaxAnnouncement
Inputs
Text
Outputs
Text

Model Overview

Capabilities, design details, and architectural traits

MiniMax M2.1 - polyglot programming and office workflows

MiniMax M2.1 is an updated MiniMax model focused on polyglot programming and precision code refactoring. It is also positioned for real-world complex tasks, especially where coding, tool use, and office scenarios overlap.

Distinctive traitWhat is explicitly documented
Polyglot Programming MasteryThe model is described as strong across many programming languages, not only Python.
Precision Code RefactoringIt is presented as a model for careful code changes and cleanup.
Office scenariosIt is described as usable in office-style tasks and composite instruction settings.
Tool and agent workflowsThe release notes describe strong performance with agent frameworks and tool use.

Coding focus

The main identity of M2.1 is its emphasis on multilingual software work. The official release highlights Rust, Java, Golang, C++, Kotlin, Objective-C, TypeScript, and JavaScript as part of its broader programming coverage.

Workflow pattern

The model is also described as more concise in responses and thought chains than M2, with improved speed and lower token use. That makes its documented pattern closer to a compact coding and workflow model than a general chat model.

Benchmark Performance

Independent evaluations · Artificial Analysis

32.1%
Intelligence

Accuracy & Capability Details

GPQA - Graduate Science83.0%
Humanity's Last Exam23.2%
SciCode - Scientific Coding40.7%
Instruction Following69.9%
Long Context Reasoning66.3%
τ²-Bench - Agentic Tasks85.4%
TerminalBench - System Control28.8%
Specs
Context window
205Ktokens
Input pricing
$0.30per 1M tokens
Output pricing
$1.20per 1M tokens

Prices in USD.

Key Capabilities & Ratings

Legal & E-Discovery90%
Financial Analysis90%
Translation & Lang90%
Medical Reasoning90%
Communication90%

Compare Models Side-by-Side

Evaluate specifications, pricing, and independent benchmark indices

Model Details
General Info
ProviderMiniMaxAnthropicAnthropic
Release DateDecember 23, 2025July 24, 2026June 9, 2026
Knowledge Cutoff-May 2026-
Context & Limits
Context Window205K
1M
Best Context Window
1M
Best Context Window
Pricing (per 1M tokens)
Input Pricing
$0.30
Best Input Pricing
$5$10
Output Pricing
$1.20
Best Output Pricing
$25$50
Modalities
Inputs
text
textimage
textimagefile
Outputs
text
text
text
Benchmarks (0-100)
Intelligence Index32.1
63.1
Best Intelligence Index
62.1
Coding Index-
78.0
Best Coding Index
76.5
Agentic Index-
59.2
Best Agentic Index
56.6
MiniMax M2.1
Claude Opus 5
Claude Fable 5

GPQA Benchmark

Graduate-level reasoning and expert Q&A evaluation.

83%
MiniMax M2.1
GPQA Benchmark
Score: 83%
MiniMax M2.1
93%
Claude Opus 5
GPQA Benchmark
Score: 93%
Claude Opus 5
93%
Claude Fable 5
GPQA Benchmark
Score: 93%
Claude Fable 5

Humanity's Last Exam

Extremely difficult logical reasoning and knowledge.

23%
MiniMax M2.1
Humanity's Last Exam
Score: 23%
MiniMax M2.1
55%
Claude Opus 5
Humanity's Last Exam
Score: 55%
Claude Opus 5
56%
Claude Fable 5
Humanity's Last Exam
Score: 56%
Claude Fable 5

Long Context Reasoning

Logical reasoning over long context windows.

66%
MiniMax M2.1
Long Context Reasoning
Score: 66%
MiniMax M2.1
76%
Claude Opus 5
Long Context Reasoning
Score: 76%
Claude Opus 5
77%
Claude Fable 5
Long Context Reasoning
Score: 77%
Claude Fable 5

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

Back to all models