Context Window
—
Input Price/1M
$2.75
Output Price/1M
$8.10
Parameters
—
Speed
46 tok/s
Latency (TTFT)
710ms
Mistral Medium results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LiveCodeBench | 9.9 | 100.0 | Artificial Analysis official API |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MMLU-Pro | 49.0 | 100.0 | — |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MATH-500 | 40.5 | 100.0 | Artificial Analysis official API |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Intelligence Index | 9.0 | 100.0 | Artificial Analysis official API |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MMLU Pro | 49.1 | 100.0 | Artificial Analysis official API |
| GPQA Diamond | 34.9 | 100.0 | Artificial Analysis official API |
| HLE | 3.0 | 100.0 | — |
Mistral Medium 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.
Mistral Medium is usage-based, priced at $2.75/1M input tokens and $8.1/1M output tokens. For context: 1 million tokens is approximately 750,000 words, or about 10 average-length books. The mid-range pricing balances quality and cost for most professional applications.
Mistral Medium was evaluated on 7 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.
Mistral Medium specializes in text, offering advanced capabilities for creating and processing text content.
In the 2026 AI model ecosystem, Mistral Medium 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.
Mistral Medium is an AI model developed by Mistral. It is a text model.
Mistral Medium costs $2.75/1M input tokens and $8.1/1M 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 Medium scored: LiveCodeBench: 9.9/100, MMLU-Pro: 49/100, MATH-500: 40.5/100. See the full table above for a detailed comparison.
No, Mistral Medium is a proprietary model from Mistral. It is available via cloud API. For open source alternatives, check our open source model ranking.
Mistral Medium excels at general-purpose language tasks.
Last updated: May 20, 2026 • View methodology →