Mistral AI • LLM
Devstral 2 is a state-of-the-art open-source model by Mistral AI specializing in agentic coding. It is a 123B-parameter dense transformer model supporting a 256K context window. Devstral 2 supports exploring...
Context Window
262K tokens
Input Price/1M
$0.40
Output Price/1M
$2.00
Parameters
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Mistral: Devstral 2 2512 results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LiveBench Coding | 66.8 | 100.0 | Contamination-free benchmark with objective ground-truth answers |
| LiveCodeBench | 44.8 | 100.0 | Artificial Analysis official API |
| AA Coding Index | 23.7 | 100.0 | Artificial Analysis official API |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LiveBench Data Analysis | 39.1 | 100.0 | Contamination-free benchmark with objective ground-truth answers |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LiveBench Language | 45.7 | 100.0 | Contamination-free benchmark with objective ground-truth answers |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LiveBench Math | 52.5 | 100.0 | Contamination-free benchmark with objective ground-truth answers |
| AA Math Index | 36.7 | 100.0 | Artificial Analysis official API |
| AIME 2025 | 36.7 | 100.0 | Artificial Analysis official API |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LiveBench Global | 41.2 | 100.0 | Contamination-free benchmark with objective ground-truth answers |
| AA Intelligence Index | 22.0 | 100.0 | Artificial Analysis official API |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MMLU Pro | 76.2 | 100.0 | Artificial Analysis official API |
| GPQA Diamond | 59.4 | 100.0 | Artificial Analysis official API |
| LiveBench Reasoning | 27.7 | 100.0 | Contamination-free benchmark with objective ground-truth answers |
Mistral: Devstral 2 2512 is an AI model developed by Mistral AI, classified as a large language model (LLM). It focuses on text processing and natural language generation. As an open source model, it is available for download, customization, and on-premises deployment. With a context window of 262K tokens, it is suitable for processing long documents such as contracts, books, and complete codebases.
Mistral: Devstral 2 2512 is usage-based, priced at $0.4/1M input tokens and $2/1M 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.
Mistral: Devstral 2 2512 was evaluated on 13 different benchmarks, covering categories like Coding, Data Analysis, Language, 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.
Mistral: Devstral 2 2512 is suitable for a wide range of AI applications: long document analysis (contracts, legal proceedings, codebases), automation with tool calling (API integration, databases, external systems), high-volume chatbots and automated support, text generation, summarization, translation, and general assistance.
In the 2026 AI model ecosystem, Mistral: Devstral 2 2512 competes directly with similarly capable models. Mistral AI 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 2 is a state-of-the-art open-source model by Mistral AI specializing in agentic coding. It is a 123B-parameter dense transformer model supporting a 256K context window. Devstral 2 supports exploring...
Mistral: Devstral 2 2512 costs $0.4/1M input tokens and $2/1M 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, Mistral: Devstral 2 2512 scored: LiveBench Coding: 66.79/100, LiveCodeBench: 44.8/100, AA Coding Index: 23.7/100. See the full table above for a detailed comparison.
Yes, Mistral: Devstral 2 2512 is an open source model. You can deploy it on-premises, customize it via fine-tuning, and maintain full control over your data. Check the official repository for the specific license.
Mistral: Devstral 2 2512 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 15, 2026 • View methodology →