DeepSeek V3.2 vs Ministral 3 14B 2512
How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for DeepSeek V3.2 and Ministral 3 14B 2512.
DeepSeek V3.2
DeepSeek-V3.2 is a large language model designed to harmonize high computational efficiency with strong reasoning and agentic tool-use performance. It introduces DeepSeek Sparse Attention (DSA), a fine-grained sparse attention mechanism...
Ministral 3 14B 2512
The largest model in the Ministral 3 family, Ministral 3 14B offers frontier capabilities and performance comparable to its larger Mistral Small 3.2 24B counterpart. A powerful and efficient language...
Technical Specifications
| Specification | DeepSeek V3.2 | Ministral 3 14B 2512 |
|---|---|---|
| Provider | DeepSeek | Mistral |
| Context Window | 131,072 tokens | 262,144 tokens |
| Agent Suitability | N/A | N/A |
| Time to First Token (TTFT) | N/A | N/A |
| Deployment Model | self hostable | self hostable |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2025-12-01 | 2025-12-02 |
API Pricing Comparison
Input Price per Million Tokens
DeepSeek V3.2
$0.23
Ministral 3 14B 2512
$0.20
Output Price per Million Tokens
DeepSeek V3.2
$0.34
Ministral 3 14B 2512
$0.20
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Benchmark Performance Metrics
Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.
DeepSeek V3.2 Quirks & Gotchas
No developer gotchas reported.
Ministral 3 14B 2512 Quirks & Gotchas
No developer gotchas reported.