Devstral Small 1.0
Coding modelDevstral Small 1.0
Devstral Small 1.0 is an AI model published by MistralAI, released on 2025-05-26, for Coding model, with 24B parameters, and 128K context length, requiring about 48GB storage, with a 46.80 score on SWE-bench Verified.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
Model basics
Open source & experience
Official resources
API details
| Type | Condition | Input | Output |
|---|---|---|---|
| Text | - | $0.100/ 1M | $0.300/ 1M |
Benchmark Results
Devstral Small 1.0 currently shows benchmark results led by SWE-bench Verified (99 / 111, score 46.80). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.
Coding and Software Engineer
1 evaluationsCompare with other models
No curated comparisons for this model yet.
Want a custom combination? Open the compare tool
Publisher
Model Overview
Devstral Small 1.0 is an AI model published by MistralAI, released on 2025-05-26, for Coding model, with 24B parameters, and 128K context length, requiring about 48GB storage, with a 46.80 score on SWE-bench Verified.
DataLearner on WeChat
Follow DataLearner on WeChat for AI model updates and research notes.
