LLMS • CURATED • UPDATED MAY 31, 2026

MiniMax M3

MiniMax's 1M-context agentic frontier model
Score
29.2 · rank 53
Price
Freemium
API
Yes
Weights
Yes

MiniMax M3 is a 1-million-token-context agentic frontier model released on May 31, 2026. It supports long-document analysis, coding, multi-turn agent workflows, and tool use, positioning it as a general-purpose assistant with an exceptionally large context window.

MiniMax M3's 1M context window makes it competitive for tasks that require digesting entire codebases, books, or video transcripts in a single pass. It is a strong option for long-context agentic applications.

Pricing Freemium
Platforms web, api, local
API Yes
Open Source Yes
Modalities LLMs, AI Assistants
Best For Best for 1M Context
Date Added 2026-05-31
  • ✓1 million token context window
  • ✓Strong agentic and tool-use capabilities
  • ✓Good long-document comprehension
  • ✓Competitive coding performance
  • ✓Accessible via MiniMax web and API
  • ⚠Very long contexts can be expensive
  • ⚠Attention may degrade on the farthest tokens
  • ⚠Smaller ecosystem than leading US models
  • ⚠Some features may be limited to paid tiers
  • ⚠Open weights are available under the MiniMax Community License; commercial use above $20M/year revenue requires prior authorization

Sign up on minimaxi.com and select the M3 model. Upload long documents or paste large codebases, then ask questions or request agentic actions. The 1M context window lets you work with entire books, legal contracts, or multi-file projects without chunking.

Artificial Analysis Intelligence Index v4.3 · llm
29.2
Rank #53 · 2026-10-13
1 Upload full documents instead of chunking them
2 Use clear task decomposition for agentic workflows
3 Test retrieval quality against chunked RAG setups
4 Monitor token costs on very long inputs
5 Use structured output for data extraction

Analyzing a Full Book

Answer questions and synthesize themes across an entire book.

STEPS:
  1. Upload the full book text
  2. Ask for a chapter-by-chapter summary
  3. Query specific themes and character arcs
  4. Compare passages across distant chapters
  5. Export notes for research or writing

Whole-Repository Code Search

Find patterns and answer questions across an entire repo.

STEPS:
  1. Paste or upload the repository context
  2. Ask about architecture and dependencies
  3. Request refactoring suggestions
  4. Trace how a feature flows through files
  5. Document findings for the team
Freemium Free tier available

Free tier includes limited features. Paid plans unlock full access, higher usage limits, and commercial usage rights.

View MiniMax M3 Alternatives (2026) →

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Q

Is MiniMax M3 free?

A

MiniMax M3 offers a free tier with optional paid upgrades.

Q

Does MiniMax M3 have an API?

A

Yes, MiniMax M3 offers an API for programmatic integration.

Q

What is MiniMax M3 best for?

A

MiniMax M3 is best for 1M Context. MiniMax M3 is a 1-million-token-context agentic frontier model released on May 31, 2026. MiniMax M3's 1M context window makes it competitive for tasks that require digesting entire codebases, books, or video transcripts in a single pass. It is a strong option for long-context agentic applications.

Q

What platforms does MiniMax M3 support?

A

MiniMax M3 supports web, api, local.

Q

Is MiniMax M3 open source?

A

Yes, MiniMax M3 is open source. You can access the source code on GitHub at https://huggingface.co/MiniMaxAI/MiniMax-M3.

Q

How do I get started with MiniMax M3?

A

Sign up on minimaxi.com and select the M3 model. Upload long documents or paste large codebases, then ask questions or request agentic actions. The 1M context window lets you work with entire books, legal contracts, or multi-file projects without chunking.

Q

How do I use MiniMax M3?

A

MiniMax M3 is a large language model for text generation, analysis, and conversation. Access through the web interface. Enter prompts or questions to get responses. It excels at 1 million token context window.

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