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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.
Mistral's cutting-edge language model for coding released end of July 2025. Codestral specializes in low-latency, high-frequency tasks such as fill-in-the-middle (FIM), code correction and test generation. Blog Post
codestral-2508 is a Code model from Mistral AI (US). HotON.ai tracks it at $0.30 per 1M input tokens and $0.90 per 1M output tokens, with a 128K-token context window. Its composite efficiency score is 89/100 at an estimated $0.001 per successful task.
codestral-2508 is tracked at $0.30 per 1M input tokens and $0.90 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $0.75 per 1M tokens. Figures are illustrative demo data.
Code generation, refactoring and review, and developer-tooling workloads with large context.
codestral-2508 supports up to a 128K-token context window — large enough for long documents and extended conversations in a single request.
Within the HotON.ai tracked set, codestral-2508 is cheaper than 51% of models on input price and ranks #209 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.
Ready to paste into articles, papers or AI prompts — prices and date refresh with the live data.
HotON.ai — codestral-2508 (Mistral AI): $0.30/1M input, $0.90/1M output, as of 2026-05-10. https://hoton.ai/en/models/mistralai-codestral-2508Pricing 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.