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> M2.5-Lightning [...] costs $0.3 per million input tokens and $2.4 per million output tokens. M2.5 [...] costs half that. Both model versions support caching. Based on output price, the cost of M2.5 is one-tenth to one-twentieth that of Opus, Gemini 3 Pro, and GPT-5.

Huge - if not groundbreaking - if the benchmark stats are true.

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yes it's good. But you should also look at GLM 5 and Kimi K2.5 when looking at M2.5. It's amazing we have so many good and cheap open weight models now which are really not far behind the top models from the big US AI companies.

Anthropic Claude Code and OpenAI Codex plans are subsidised.

The Chinese open weight models hosted in US or Europe make more sense to use when you want to stay model agnostic and less dependent on a single AI company with relative expensive APIs.

Cost per token doesn't really matter anymore, cost per task it more important.

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