Mistral Medium 3.5
Mistral Medium 3.5
📌 Model Overview
Balanced Mistral model for enterprise assistants, multilingual work, and tools
Mistral Medium 3.5 is a Open Weights model developed by Mistral AI, released on 2026-04-29. It is designed primarily for Chat Reasoning workloads. Featuring a 262K tokens context window and Undisclosed parameter count, it offers robust performance for enterprise integration, developers, and researchers.
✨ Key Features & Capabilities
| Feature | Description |
|---|---|
| Context Window | 262K tokens capacity for extended prompts and multi-turn workflows |
| Primary Task | Optimized for Chat Reasoning |
| Deployment | self-hostable, api-only |
| Modality | text, image |
| Max Output | Max Output: 262K tokens |
| Native reasoning capability | Native reasoning capability |
| Tool / function calling support | Tool / function calling support |
⚙️ Technical Specifications
| Specification | Details |
|---|---|
| Developer / Lab | Mistral AI |
| Release Date | 2026-04-29 |
| Model Type | Open Weights |
| Parameters | Undisclosed |
| Context Window | 262K tokens |
| License | Apache-2.0 |
| Model Family | mistral-medium |
📊 Benchmarks & Performance
| Benchmark | Score | Source |
|---|---|---|
| SWE-Bench Verified | 77.6% | Independent Eval |
💰 Pricing
| Tier / Unit | Rate (USD) |
|---|---|
| 1M input tokens | $1.5 |
| 1M output tokens | $7.5 |
🔗 Resources & Links
| Resource | Link |
|---|---|
| Hugging Face | https://huggingface.co/mistralai/Mistral-Medium-3.5-128B |
📜 License & Usage
This model is governed by the Apache-2.0 license. Please check official developer guidelines before commercial deployment.
Key Features
Max Output: 262K tokens
Native reasoning capability
Tool / function calling support
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Verified Sources
Tags
Model Specs
Parameters
Undisclosed
Context Window
262K tokens
License
Apache-2.0
Deployment
Pricing
- 1M input tokens$1.5
- 1M output tokens$7.5
as of 2026-07-26
Resources & Links
Lineage
Curator Notes
Skeleton entry imported from models.dev backfill (2026-07-26). Needs manual enrichment and primary-source verification.
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