DeepSeek: DeepSeek V3.2 Speciale vs Mistral: Mistral Large 3 2512
Side-by-side comparison — pricing, context window, capabilities, and live leaderboard data.
Key differences
- DeepSeek: DeepSeek V3.2 Speciale is 43% cheaper per 1K input tokens than Mistral: Mistral Large 3 2512 ($0.0003 vs $0.0005).
- DeepSeek: DeepSeek V3.2 Speciale is built by DeepSeek; Mistral: Mistral Large 3 2512 is built by Mistral.
- Mistral: Mistral Large 3 2512 supports vision (image inputs); the other does not.
Specifications
| DeepSeek: DeepSeek V3.2 Speciale | Mistral: Mistral Large 3 2512 | |
|---|---|---|
| Provider | DeepSeek | Mistral |
| Context window | 164K | 262K |
| Max output tokens | 8192 | 8192 |
| Input price / 1K tokens | $0.0003 | $0.0005 |
| Output price / 1K tokens | $0.0004 | $0.0015 |
| Vision support | No | Yes |
| Function calling | No | No |
| License | Open Source | Proprietary |
About DeepSeek: DeepSeek V3.2 Speciale
CN·OpenDeepSeek-V3.2-Speciale is a high-compute variant of DeepSeek-V3.2 optimized for maximum reasoning and agentic performance. It builds on DeepSeek Sparse Attention (DSA) for efficient long-context processing, then scales post-training reinforcement learning...
View DeepSeek: DeepSeek V3.2 Speciale reliability and benchmark history →About Mistral: Mistral Large 3 2512
EU·ClosedMistral Large 3 2512 is Mistral’s most capable model to date, featuring a sparse mixture-of-experts architecture with 41B active parameters (675B total), and released under the Apache 2.0 license.
View Mistral: Mistral Large 3 2512 reliability and benchmark history →Try them yourself
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