Devstral Small 1.1

Devstral Small 1.1 by Mistral AI excels in the Coding category, where it ranks #223 with a composite score of 42/100. 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 released under the Apache 2.0 license, it features a 128k token context window and supports both Mistral-style function calling and XML output formats. Designed for agentic coding workflows, Devstral Small 1.1 is optimized for tasks such as codebase exploration, multi-file edits, and integration into autonomous development agents like OpenHands and Cline. It achieves 53.6% on SWE-Bench Verified, surpassing all other open models on this benchmark, while remaining lightweight enough to run on a single 4090 GPU or Apple silicon machine. The model uses a Tekken tokenizer with a 131k vocabulary and is deployable via vLLM, Transformers, Ollama, LM Studio, and other OpenAI-compatible runtimes. It is particularly strong in areas highlighted by its top benchmark performance and adoption metrics, making it suitable for both individual developers and enterprise teams looking for a reliable coding solution.

Devstral Small 1.1 is priced at $0.10 per million input tokens and $0.30 per million output tokens (USD). Contact the provider for volume discounts and enterprise pricing. Pricing is competitive within the coding category and reflects the model's quality-to-cost ratio.

In the Coding category, Devstral Small 1.1 holds rank #223 out of 6 models tracked. Its quality rank is #223 and adoption rank is #223. You can use our comparison tool at /compare to see detailed side-by-side metrics with specific alternatives. Key differentiators include its composite scoring across benchmarks, community sentiment, and real-world adoption rates.

Devstral Small 1.1 has been evaluated across 6 different signals. Its strongest areas include Capabilities (43/100), Context Window (81/100), Output Capacity (20/100). These scores are derived from industry-standard benchmarks, community ratings, and real-world performance metrics. The composite score of 42/100 reflects a weighted combination of all tracked signals.

Devstral Small 1.1 is a paid model, though some providers may offer trial credits or limited free tiers for evaluation. Check Mistral AI's website for current free tier availability and promotional offers.