Reasoning
MiniMax M2.7
The most recent release in MiniMax's M2 line: a 228.7B-parameter sparse mixture-of-experts model (8 experts active per token, MiniMaxM2ForCausalLM) with a 204,800-token context window -- a further step past M2.5's 196,608.
MiniMax · MiniMax
Editorial review
Model checkpoints, context windows, provider support, local runtime compatibility, and license terms can change quickly. Verify the exact model card before production or commercial use.
Best for
Builders comparing current agent-ready open-weight models for coding and productivity workflows, for non-commercial or internally-authorized use.
Who should use it
- Builders comparing current agent-ready open-weight models for coding and productivity workflows, for non-commercial or internally-authorized use.
- Teams with access to hosted inference or server-class deployment paths.
- Developers evaluating coding assistant, repo-editing, and code review workflows.
- Teams testing tool-use, agentic planning, and multi-step workflow behavior.
Common workflows
- Coding, reasoning, tool use, office workflows, agents
- reasoning workflows
- coding workflows
- tool-use workflows
- agents workflows
Deployment and hardware notes
228.7B total parameters, 8 experts active per token. No GGUF in the official repository -- server-class multi-GPU or hosted inference only.
License and usage notes
MiniMax M2 Non-Commercial License (modified MIT base). Open weights. Verify the exact model card and license terms for the checkpoint or hosted provider you use.
Strengths
- Open weights model option for MiniMax workflows.
- Builders comparing current agent-ready open-weight models for coding and productivity workflows, for non-commercial or internally-authorized use.
- Tracked as Frontier 2026 in the OpenSourcesAI model directory.
Limitations
- The LICENSE file (not just the model-card tag, which Hugging Face shows as the generic "other") is titled a NON-COMMERCIAL LICENSE: it requires prior written authorization for any commercial deployment and prohibits certain use categories (military, exploitation of minors, disinformation, discrimination). No official or community GGUF exists, so local single-GPU deployment isn't realistic regardless of the license question.
- 228.7B total parameters, 8 experts active per token. No GGUF in the official repository -- server-class multi-GPU or hosted inference only.
- Context window and limits: 204,800 tokens, confirmed from the model's published config.
- Verify the exact model card, provider docs, license, and serving support before production use.
Frontier-model verification note
This page is written to stay accurate as of the latest available 2026 public model information. Availability, licenses, context windows, API support, pricing, benchmark standing, and local-serving support can change quickly. Verify the official model card, provider docs, and license before using this model in production or commercial workflows.
Sources to verify
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Setup and deployment
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