Mistral: Mistral Small 4
Mistral AI • LLM
Mistral Small 4 is the next major release in the Mistral Small family, unifying the capabilities of several flagship Mistral models into a single system. It combines strong reasoning from...
Specifications
Context Window
262K tokens
Input Price/1M
$0.20
Output Price/1M
$0.60
Parameters
—
Speed
165 tok/s
Latency (TTFT)
516ms
Benchmarks
Mistral: Mistral Small 4 results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
Agentic
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| Terminal-Bench Hard | 17.0 | 100.0 | — |
Coding
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| SciCode | 38.0 | 100.0 | — |
| AA Coding Index | 24.3 | 100.0 | Artificial Analysis official API |
| LiveCodeBench | 14.0 | 100.0 | — |
Knowledge
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MMLU-Pro | 53.0 | 100.0 | — |
Long Context
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA-LCR | 45.0 | 100.0 | — |
overall
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Intelligence Index | 27.8 | 100.0 | Artificial Analysis official API |
Reasoning
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| GPQA Diamond | 77.0 | 100.0 | Artificial Analysis official API |
| IFBench | 48.0 | 100.0 | — |
| HLE | 10.0 | 100.0 | — |
Tool Use
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| Tau²-Bench | 41.0 | 100.0 | — |
Information
- Release date
- September 17, 2024
- Tool Calling
- ✅ Supported
- Vision
- ✅ Supported
- Audio
- ❌ Not supported
Full Analysis: Mistral: Mistral Small 4
What is Mistral: Mistral Small 4?
Mistral: Mistral Small 4 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 262K tokens, it is suitable for processing long documents such as contracts, books, and complete codebases.
Pricing & Costs in 2026
Mistral: Mistral Small 4 is usage-based, priced at $0.2/1M input tokens and $0.6/1M 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 4 was evaluated on 11 different benchmarks, covering categories like Agentic, Coding, Knowledge, Long Context, 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.
Recommended Use Cases
Mistral: Mistral Small 4 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), image and visual document analysis (OCR, diagrams, screenshots), multimodal processing combining text and images, high-volume chatbots and automated support, complex reasoning, math problem solving, and logical analysis, text generation, summarization, translation, and general assistance.
Comparison with Alternatives
In the 2026 AI model ecosystem, Mistral: Mistral Small 4 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 4?
Mistral Small 4 is the next major release in the Mistral Small family, unifying the capabilities of several flagship Mistral models into a single system. It combines strong reasoning from...
How much does Mistral: Mistral Small 4 cost?
Mistral: Mistral Small 4 costs $0.2/1M input tokens and $0.6/1M 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 4 compare with other models?
In available benchmarks, Mistral: Mistral Small 4 scored: Terminal-Bench Hard: 17/100, SciCode: 38/100, AA Coding Index: 24.3/100. See the full table above for a detailed comparison.
Is Mistral: Mistral Small 4 open source?
Yes, Mistral: Mistral Small 4 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 4 best for?
Mistral: Mistral Small 4 excels at complex reasoning and problem solving. With its large context window, it handles long documents, codebases, and extended conversations. It supports tool calling for API integrations and automation.
Last updated: June 01, 2026 • View methodology →