Mistral: Mistral Medium 3.5
Mistral AI • LLM
Mistral: Mistral Medium 3.5 by Mistral AI
Specifications
Context Window
262K tokens
Input Price/1M
$1.50
Output Price/1M
$7.50
Parameters
—
Speed
161 tok/s
Latency (TTFT)
501ms
Benchmarks
Mistral: Mistral Medium 3.5 results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
Agentic
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| Terminal-Bench Hard | 33.0 | 100.0 | — |
Coding
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| SciCode | 40.0 | 100.0 | — |
| AA Coding Index | 35.4 | 100.0 | Artificial Analysis official API |
Long Context
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA-LCR | 61.0 | 100.0 | — |
overall
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Intelligence Index | 39.2 | 100.0 | Artificial Analysis official API |
Reasoning
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| GPQA Diamond | 75.0 | 100.0 | Artificial Analysis official API |
| IFBench | 69.0 | 100.0 | — |
| HLE | 13.0 | 100.0 | — |
Tool Use
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| Tau²-Bench | 94.0 | 100.0 | — |
Information
- Release date
- April 29, 2026
- Tool Calling
- ✅ Supported
- Vision
- ✅ Supported
- Audio
- ❌ Not supported
Full Analysis: Mistral: Mistral Medium 3.5
What is Mistral: Mistral Medium 3.5?
Mistral: Mistral Medium 3.5 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 Medium 3.5 is usage-based, priced at $1.5/1M input tokens and $7.5/1M 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.
Benchmarks & Performance
Mistral: Mistral Medium 3.5 was evaluated on 9 different benchmarks, covering categories like Agentic, Coding, Long Context, overall, Reasoning, Tool Use. Results show exceptional 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 Medium 3.5 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, text generation, summarization, translation, and general assistance.
Comparison with Alternatives
In the 2026 AI model ecosystem, Mistral: Mistral Medium 3.5 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 Medium 3.5?
Mistral: Mistral Medium 3.5 is an AI model developed by Mistral AI. It is a language model (LLM), with multimodal support (text, image and more), open source.
How much does Mistral: Mistral Medium 3.5 cost?
Mistral: Mistral Medium 3.5 costs $1.5/1M input tokens and $7.5/1M 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 Medium 3.5 compare with other models?
In available benchmarks, Mistral: Mistral Medium 3.5 scored: Terminal-Bench Hard: 33/100, SciCode: 40/100, AA Coding Index: 35.4/100. See the full table above for a detailed comparison.
Is Mistral: Mistral Medium 3.5 open source?
Yes, Mistral: Mistral Medium 3.5 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 Medium 3.5 best for?
Mistral: Mistral Medium 3.5 excels at multimodal tasks including text and vision. 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 →