Mistral • text#389 of 579 in intelligence
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...
Context Window
131K tokens
Input Price/1M
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#1 of 714
Output Price/1M
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Parameters
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Devstral Small (Jul '25) results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| Terminal-Bench Hard | 6.0 | 100.0 | — |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LiveCodeBench | 25.0 | 100.0 | Artificial Analysis official API |
| SciCode | 24.0 | 100.0 | — |
| AA Coding Index | 12.1 | 100.0 | Artificial Analysis official API |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MMLU-Pro | 62.0 | 100.0 | — |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA-LCR | 17.0 | 100.0 | — |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MATH-500 | 68.4 | 100.0 | Artificial Analysis official API |
| AA Math Index | 29.3 | 100.0 | Artificial Analysis official API |
| AIME 2025 | 29.0 | 100.0 | Artificial Analysis official API |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Intelligence Index | 9.1 | 100.0 | Artificial Analysis official API |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MMLU Pro | 63.2 | 100.0 | Artificial Analysis official API |
| GPQA Diamond | 41.0 | 100.0 | Artificial Analysis official API |
| IFBench | 35.0 | 100.0 | — |
| HLE | 4.0 | 100.0 | — |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| Tau²-Bench | 28.0 | 100.0 | — |
Devstral Small (Jul '25) is an AI model developed by Mistral, classified as a text model. It focuses on text processing and natural language generation. As a proprietary model, it is available via Mistral's cloud API. With a context window of 131K tokens, it is suitable for processing long documents such as contracts, books, and complete codebases.
Devstral Small (Jul '25) does not have public per-token pricing available at this time. Some models offer access via enterprise plans or research programs. Check Mistral's official website for up-to-date availability and pricing.
Devstral Small (Jul '25) was evaluated on 15 different benchmarks, covering categories like Agentic, Coding, Knowledge, Long Context, Math, overall, Reasoning, Tool Use. Results show moderate performance across available evaluations.
It's important to note that benchmarks measure specific aspects and don't capture the full user experience. Factors like instruction adherence, behavior in long conversations, and real-world task quality vary significantly between models and aren't always reflected in standard scores.
Devstral Small (Jul '25) specializes in text, offering advanced capabilities for creating and processing text content.
In the 2026 AI model ecosystem, Devstral Small (Jul '25) competes directly with similarly capable models. Mistral competes in this segment against OpenAI, Anthropic, Google, and Meta. The choice between models depends on the specific use case, budget, latency requirements, and need for features like multimodality and tool calling.
For a detailed side-by-side comparison, use our comparison tool or check the overall model ranking.
Devstral Small (Jul '25) is an AI model developed by Mistral. It is a text model.
Devstral Small (Jul '25) does not have public per-token pricing available at this time. Check Mistral's official website for up-to-date information.
In available benchmarks, Devstral Small (Jul '25) scored: Terminal-Bench Hard: 6/100, LiveCodeBench: 25/100, SciCode: 24/100. See the full table above for a detailed comparison.
No, Devstral Small (Jul '25) is a proprietary model from Mistral. It is available via cloud API. For open source alternatives, check our open source model ranking.
Devstral Small (Jul '25) excels at general-purpose language tasks. With its large context window, it handles long documents, codebases, and extended conversations. It supports tool calling for API integrations and automation.
Last updated: September 01, 2026 • View methodology →