Mistral • text
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
$0.10
Output Price/1M
$0.30
Parameters
—
Speed
189 tok/s
Latency (TTFT)
417ms
Devstral Small (Jul '25) results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LiveCodeBench | 25.8 | 100.0 | Artificial Analysis official API |
| AA Coding Index | 12.2 | 100.0 | Artificial Analysis official API |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MMLU-Pro | 62.0 | 100.0 | — |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MATH-500 | 68.4 | 100.0 | Artificial Analysis official API |
| AIME 2025 | 29.3 | 100.0 | Artificial Analysis official API |
| AA Math Index | 29.3 | 100.0 | Artificial Analysis official API |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Intelligence Index | 18.0 | 100.0 | Artificial Analysis official API |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MMLU Pro | 63.2 | 100.0 | Artificial Analysis official API |
| GPQA Diamond | 43.4 | 100.0 | Artificial Analysis official API |
| HLE | 4.0 | 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) is usage-based, priced at $0.1/1M input tokens and $0.3/1M output tokens. For context: 1 million tokens is approximately 750,000 words, or about 10 average-length books. At this aggressive price point, it is one of the most cost-effective options on the market, ideal for high-volume applications like chatbots, bulk document analysis, and automation.
Devstral Small (Jul '25) was evaluated on 10 different benchmarks, covering categories like Coding, Knowledge, Math, overall, Reasoning. 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) costs $0.1/1M input tokens and $0.3/1M output tokens. For heavy usage (e.g., a chatbot handling 100k messages/month), costs can range from $10 to $1,000 depending on volume.
In available benchmarks, Devstral Small (Jul '25) scored: LiveCodeBench: 25.8/100, AA Coding Index: 12.2/100, MMLU-Pro: 62/100. 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: May 24, 2026 • View methodology →