Capabilities
7-day heat trend
+5.8%Pricing breakdown
Typical 3:1 output-to-input mix, per 1M tokens
Estimated monthly cost by workload
Market position
- Cheaper than 35% of tracked models
- Faster than 78% of tracked models
- Efficiency rank: #364 of 1105
Best suited for
Code generation, refactoring and review, and developer-tooling workloads with large context.
About devstral-small
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, ~163 tokens/sec throughput and 99.0% availability. Its composite efficiency score is 89/100 at an estimated $0.000 per successful task.
Compare devstral-small
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Frequently asked questions
How much does devstral-small cost per 1M tokens?+
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.
What is devstral-small best for?+
Code generation, refactoring and review, and developer-tooling workloads with large context.
How fast is devstral-small?+
devstral-small delivers about 163 tokens/sec with 99.0% tracked availability, suitable for latency-sensitive, real-time applications.
Is devstral-small cheaper than other AI models?+
Within the HotON.ai tracked set, devstral-small is cheaper than 35% of models on input price and ranks #364 of 1105 by overall efficiency.
Related models
Pricing is real (via the TestKey catalog, updated daily). Quality (Arena Elo) is real where the model is ranked on LMArena. Speed, availability and efficiency are modeled estimates.