MiniMax Frontier Open weight Available in FlowHunt

MiniMax M3

MiniMax M3 is a top-tier frontier AI model, developed by MiniMax and released in June 2026. As an open-weight model, its trained weights are publicly available — you can self-host it, fine-tune it on proprietary data, or run it on-premise without API dependencies. The 1M-token context window is large enough to hold entire codebases, lengthy technical documents, or extended agentic sessions without truncation.

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MiniMax M3 was released on June 1, 2026 as a deliberate statement: the first open-weight frontier model to match closed API providers on context length (1M tokens) and include native multimodal understanding. MiniMax had spent three years developing context extension techniques and multimodal training infrastructure to make this possible. M3’s open-weight release created a new category of model — frontier-class, multimodal, and fully self-hostable — that had previously not existed. The release was widely covered in AI research circles as the moment open-weight models closed the last major capability gap with closed API models.

Benchmarks

Each score appears once, with its rank among tracked models and who measured it.

Compared with Frontier peers on the same scale
  • MiniMax M3this model
  • GPT-6.1 Solthis model leads on 0 of 3
  • Claude Opus 5.5this model leads on 0 of 4
Verified independent evaluator, counted in the ranking Self-reported published by MiniMax, shown but not ranked
Overall

AA Intelligence Index

Independent composite of agent, coding, knowledge and science tests by Artificial Analysis (v4).

Source ↗

MiniMax M3 29.2 GPT-6.1 Sol 51.8 Claude Opus 5.5 57.6
#31of 45 Verified
Coding

SWE-bench Pro

Real issues across several languages and large codebases.

MiniMax M3 59.0% GPT-6.1 Sol No score Claude Opus 5.5 89.9%
Not ranked Self-reported

SWE-bench Verified

500 verified GitHub issues. Saturated at the frontier.

Source ↗

MiniMax M3 75.0% GPT-6.1 Sol No score Claude Opus 5.5 No score
#17of 22 Verified
Agents

Terminal-Bench 4.0

Multi-step professional tasks done by an agent in a command-line terminal.

Source ↗

MiniMax M3 2.0% GPT-6.1 Sol 56.1% Claude Opus 5.5 59.6%
#28of 36 Verified

Humanity's Last Exam

Expert-written questions across 100+ subjects, no tools.

Source ↗

MiniMax M3 39.0% GPT-6.1 Sol 52.9% Claude Opus 5.5 61.4%
#27of 44 Verified

GPQA Diamond

Graduate-level science questions that search cannot answer.

Source ↗Also: Verified 92.7% (Vals AI own implementation)

MiniMax M3 92.9% GPT-6.1 Sol No score Claude Opus 5.5 No score
#10of 37 Verified

What to Use MiniMax M3 For

Self-Hosted & Private Deployments

MiniMax M3 is open-weight (MoE (undisclosed) parameters) — its trained weights are publicly available for download and self-deployment. Run it on your own GPU hardware or private cloud to ensure data never leaves your environment, eliminate per-token API costs at scale, or fine-tune the model on proprietary datasets.

Long-Document & Codebase Analysis

With a 1M-token context window, MiniMax M3 can ingest entire software repositories, long legal contracts, book-length research reports, or extensive conversation histories in a single prompt — enabling deep document Q&A, cross-file codebase reasoning, and comprehensive summarisation without chunking heuristics or RAG pipelines.

Strengths and limitations

Strengths

  • Self-hosted & data-private deployments (open-weight)
  • Very long documents and large codebases (1M context)

Use it in FlowHunt

Use MiniMax M3 in any flow, next to your own tools and knowledge sources.

  1. 1Open a flow, or create one from a template
  2. 2Add an AI Agent or Generator component
  3. 3Pick MiniMax M3 in the model selector

Related AI Models

About MiniMax Shanghai, China · Founded 2021 · minimax.io

MiniMax is a Chinese AI startup founded in 2021 by Yan Junjie, who previously led computer vision research at SenseTime. The company is backed by major Chinese investors including Hillhouse Capital, Yunqi Partners, and Tencent. MiniMax initially focused on consumer-facing AI applications — including the Hailuo AI chatbot — before transitioning into foundation-model development. The M3 model release in June 2026 marked the company's entry into the frontier tier: the first open-weight model to match closed API providers on context length (1M tokens) while including native multimodal capabilities. MiniMax positions itself as the most developer-friendly Chinese AI lab, releasing model weights publicly with permissive licences.

minimax.io ↗

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Frequently asked questions

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