DeepSeek V3.2 vs Mistral Medium 3.1 (Comparative Analysis)
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Comparative Analysis: DeepSeek V3.2 vs. Mistral Medium 3.1
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Overview
Mistral Medium 3.1 was released 3 months before DeepSeek V3.2.
 DeepSeek V3.2 |  Mistral Medium 3.1 | |
|---|---|---|
Model Provider The organization behind this AI's development | DeepSeek | Mistral |
Input Context Window Maximum input tokens this model can process at once | 163.8K tokens | 131.1K tokens |
Output Token Limit Maximum output tokens this model can generate at once | 65.5K tokens | Not specified tokens |
Release Date When this model first became publicly available | December 1, 2025 7 months ago December 1st, 2025 | August 13, 2025 11 months ago August 13th, 2025 |
Knowledge Cutoff Latest training-data date reported by the provider | Not reported | June 30, 2025 |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
DeepSeek V3.2 | Mistral Medium 3.1 | |
|---|---|---|
Input Types Supported input formats | 📝Text | 📝Text🖼️Image📁File |
Reasoning Controls Defaults and configurable reasoning effort | Optional | Not reported |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | DeepSeek | Mistral |
Key Features Advanced capabilities | ✓Function Calling✓Structured Output✓Reasoning ModeContent Moderation | ✓Function Calling✓Structured OutputReasoning ModeContent Moderation |
Open Source Model availability | Available on HuggingFace → | Proprietary |
Pricing
DeepSeek V3.2 is roughly 0.7x less expensive compared to Mistral Medium 3.1 for input tokens and roughly 0.2x less expensive for output tokens.
| DeepSeek V3.2 | Mistral Medium 3.1 | |
|---|---|---|
Input Token Cost Cost per million input tokens | $0.27 per million tokens | $0.40 per million tokens |
Output Token Cost Cost per million output tokens | $0.40 per million tokens | $2.00 per million tokens |
Cache Read Cost Cost to reuse cached input tokens | $0.13 per million tokens | $0.04 per million tokens |
Benchmarks
Compare relevant benchmarks between DeepSeek V3.2 and Mistral Medium 3.1.
| DeepSeek V3.2 | Mistral Medium 3.1 | |
|---|---|---|
Intelligence Index Overall model quality across independent evaluations | 32 (Artificial Analysis index; higher is better) | 14.7 (Artificial Analysis index; higher is better) |
Coding Index Programming performance across independent evaluations | 44.2 (Artificial Analysis index; higher is better) | 20.5 (Artificial Analysis index; higher is better) |
Agentic Index Ability to complete multi-step agentic tasks | 18.3 (Artificial Analysis index; higher is better) | 6.2 (Artificial Analysis index; higher is better) |
Best Design Arena Score Highest human-preference Elo score across design arenas | 1,200 Elo (#55 in Website (50.2% win rate)) | 1,180 Elo (#60 in Data Viz (47.6% win rate)) |
At a Glance
Quick overview of what makes DeepSeek V3.2 and Mistral Medium 3.1 unique.
DeepSeek V3.2 by DeepSeek can use external tools and APIs, offers advanced reasoning, generates structured data. It can handle standard conversations with its 163.8K token context window. Very affordable at $0.27/M input and $0.40/M output tokens. Released December 1st, 2025.Mistral Medium 3.1 by Mistral understands both text and images, can use external tools and APIs, generates structured data. It can handle standard conversations with its 131.1K token context window. Reasonably priced at $0.40/M input and $2.00/M output tokens. Released August 13th, 2025.Explore More Comparisons
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Best models for coding and development
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Models optimized for creative writing
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Content creation and marketing tasks
💻Technology
Technical analysis and explanations
🔬Science
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