Model by MiniMax

MiniMax M2.7

MiniMax M2.7 is an agent-oriented text model from MiniMax, and it suits teams that want a mid-priced model for tool-heavy coding work.

Checked 2026-11-05

MiniMax M2.7 is an agent-oriented text model from MiniMax, and it suits teams that want a mid-priced model for tool-heavy coding work. The Hugging Face card lists 229B parameters and shows a licence marked only as other, with terms in a separate file that we have not summarised. It does not state a context length or a release date. OpenRouter lists it from 18 March 2026 with a 196,608-token window, text only, at $0.21 per million input tokens and $0.84 per million output tokens, checked on 10 November 2026. The card recommends a temperature of 1.0 and a top_p of 0.95 for inference. The main catch is the licence: read the file in the repository before you ship anything commercial, because the label alone tells you nothing. Newer MiniMax models also exist. Figures come from the Hugging Face card and the OpenRouter model list. We have not run it ourselves. We would use it as a lower-cost option beside a stronger model, after reading the licence and testing it on our own tasks.

Mentioned here

Questions

What is the context window of MiniMax M2.7?

196,608 tokens, with up to 131,072 tokens of output.

How much does MiniMax M2.7 cost?

$0.21 per million input tokens and $0.84 per million output tokens, checked 10 November 2026.

Can I run MiniMax M2.7 on my own hardware?

Yes, the weights are published under the Open-weights model licence. They are on huggingface.co.

Who makes MiniMax M2.7?

MiniMax makes it, and released it on 18 March 2026.

Reviews

Loading reviews…

Write a review

Your rating

Up to 1000 characters. Stars alone are enough.

Similar

  • MiniMax M2.5

    MiniMax M2.5 is an open-weights coding model from MiniMax, suited to teams that want cheap agent runs and can accept that it has been superseded.

    • Open weights

    MiniMax, 200K context, $0.27 in / 1M