Get an email when this model's blended price drops. No account needed.
One email per drop. Unsubscribe anytime.
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 2026-04-28 · Source: legacy_model_catalog
Code generation, refactoring and review, and developer-tooling workloads with large context.
Devstral Small 1.1 is a 24B parameter open-weight language model for software engineering agents, developed by Mistral AI in collaboration with All Hands AI. Finetuned from Mistral Small 3.1 and...
devstral-small is a Code model from Mistral AI (US). HotON.ai tracks it at $0.10 per 1M input tokens and $0.30 per 1M output tokens, with a 131K-token context window. Its composite efficiency score is 89/100 at an estimated $0.000 per successful task.
devstral-small is tracked at $0.10 per 1M input tokens and $0.30 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $0.25 per 1M tokens. Figures are illustrative demo data.
Code generation, refactoring and review, and developer-tooling workloads with large context.
devstral-small supports up to a 131K-token context window — large enough for long documents and extended conversations in a single request.
Within the HotON.ai tracked set, devstral-small is cheaper than 79% of models on input price and ranks #153 of 537 by overall efficiency.
Yes — qwen3-coder-30b-a3b-instruct is a lower-cost option at $0.27 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 — devstral-small (Mistral AI): $0.10/1M input, $0.30/1M output, as of 2026-04-28. https://hoton.ai/en/models/mistralai-devstral-smallPricing 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.