Mistral: Mistral Small 3.1 24B
Mistral AI • LLM
Mistral Small 3.1 24B Instruct is an upgraded variant of Mistral Small 3 (2501), featuring 24 billion parameters with advanced multimodal capabilities. It provides state-of-the-art performance in text-based reasoning and...
Specifications
Context Window
128K tokens
Input Price/1M
$0.35
Output Price/1M
$0.56
Parameters
—
Benchmarks
Mistral: Mistral Small 3.1 24B results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
Coding
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LiveCodeBench | 21.2 | 100.0 | Artificial Analysis official API |
| AA Coding Index | 13.9 | 100.0 | Artificial Analysis official API |
Math
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MATH-500 | 70.7 | 100.0 | Artificial Analysis official API |
| AA Math Index | 3.7 | 100.0 | Artificial Analysis official API |
| AIME 2025 | 3.7 | 100.0 | Artificial Analysis official API |
overall
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Intelligence Index | 14.5 | 100.0 | Artificial Analysis official API |
Reasoning
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MMLU Pro | 65.9 | 100.0 | Artificial Analysis official API |
| GPQA Diamond | 45.4 | 100.0 | Artificial Analysis official API |
Information
- Tool Calling
- ❌ Not supported
- Vision
- ✅ Supported
- Audio
- ❌ Not supported
Full Analysis: Mistral: Mistral Small 3.1 24B
What is Mistral: Mistral Small 3.1 24B?
Mistral: Mistral Small 3.1 24B is an AI model developed by Mistral AI, classified as a large language model (LLM). It is a multimodal model, capable of processing text, images, and potentially other media types. As an open source model, it is available for download, customization, and on-premises deployment. With a context window of 128K tokens, it is suitable for processing long documents such as contracts, books, and complete codebases.
Pricing & Costs in 2026
Mistral: Mistral Small 3.1 24B is usage-based, priced at $0.35/1M input tokens and $0.56/1M 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.
Benchmarks & Performance
Mistral: Mistral Small 3.1 24B was evaluated on 8 different benchmarks, covering categories like Coding, 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.
Recommended Use Cases
Mistral: Mistral Small 3.1 24B is suitable for a wide range of AI applications: long document analysis (contracts, legal proceedings, codebases), image and visual document analysis (OCR, diagrams, screenshots), multimodal processing combining text and images, high-volume chatbots and automated support, text generation, summarization, translation, and general assistance.
Comparison with Alternatives
In the 2026 AI model ecosystem, Mistral: Mistral Small 3.1 24B 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.
Frequently Asked Questions
What is Mistral: Mistral Small 3.1 24B?
Mistral Small 3.1 24B Instruct is an upgraded variant of Mistral Small 3 (2501), featuring 24 billion parameters with advanced multimodal capabilities. It provides state-of-the-art performance in text-based reasoning and...
How much does Mistral: Mistral Small 3.1 24B cost?
Mistral: Mistral Small 3.1 24B costs $0.35/1M input tokens and $0.56/1M output tokens. For heavy usage (e.g., a chatbot handling 100k messages/month), costs can range from $10 to $1,000 depending on volume.
How does Mistral: Mistral Small 3.1 24B compare with other models?
In available benchmarks, Mistral: Mistral Small 3.1 24B scored: LiveCodeBench: 21.2/100, AA Coding Index: 13.9/100, MATH-500: 70.7/100. See the full table above for a detailed comparison.
Is Mistral: Mistral Small 3.1 24B open source?
Yes, Mistral: Mistral Small 3.1 24B 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.
What is Mistral: Mistral Small 3.1 24B best for?
Mistral: Mistral Small 3.1 24B excels at multimodal tasks including text and vision. With its large context window, it handles long documents, codebases, and extended conversations.
Last updated: May 15, 2026 • View methodology →