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Daily blended price ($/1M) — recorded each day, builds into a trend over time.
Typical 3:1 output-to-input mix, per 1M tokens
Price as of 2026-05-10 · Source: mistral_official_pricing
Code generation, refactoring and review, and developer-tooling workloads with large context.
Devstral 2 is a state-of-the-art open-source model by Mistral AI specializing in agentic coding. It is a 123B-parameter dense transformer model supporting a 256K context window. Devstral 2 supports exploring...
devstral-2512 is a Code model from Mistral AI (US). HotON.ai tracks it at $0.40 per 1M input tokens and $2.00 per 1M output tokens, with a 256K-token context window. Its composite efficiency score is 89/100 at an estimated $0.002 per successful task.
devstral-2512 is tracked at $0.40 per 1M input tokens and $2.00 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $1.60 per 1M tokens. Figures are illustrative demo data.
Code generation, refactoring and review, and developer-tooling workloads with large context.
devstral-2512 supports up to a 256K-token context window — large enough for long documents and extended conversations in a single request.
Within the HotON.ai tracked set, devstral-2512 is cheaper than 47% of models on input price and ranks #261 of 537 by overall efficiency.
Yes — qwen3-coder-flash is a lower-cost option at $0.98 per 1M output tokens, while still covering similar Code use cases. Compare them side by side on HotON.ai.
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HotON.ai — devstral-2512 (Mistral AI): $0.40/1M input, $2.00/1M output, as of 2026-05-10. https://hoton.ai/en/models/mistralai-devstral-2512Pricing is real (via the TestKey catalog, updated daily). Quality (Arena Elo) is real where the model is ranked on LMArena. Efficiency is a modeled composite of real price and context.