DeepSeek V4 Pro vs Mistral Small 3.1 24B
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 V4 Pro and Mistral Small 3.1 24B.
DeepSeek V4 Pro
DeepSeek V4 Pro is a large-scale Mixture-of-Experts model from DeepSeek with 1.6T total parameters and 49B activated parameters, supporting a 1M-token context window. It is designed for advanced reasoning, coding,...
Mistral Small 3.1 24B
Mistral Small 3.1 24B Instruct is an upgraded variant of Mistral Small 3 (2501), featuring 24 billion parameters with advanced multimodal capabilities. It provides state-of-the-art performance in text-based reasoning and...
Technical Specifications
| Specification | DeepSeek V4 Pro | Mistral Small 3.1 24B |
|---|---|---|
| Provider | DeepSeek | Mistral |
| Context Window | 1,048,576 tokens | 128,000 tokens |
| Agent Suitability | 94/100 | N/A |
| Time to First Token (TTFT) | 280 ms | N/A |
| Deployment Model | managed api | self hostable |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2026-04-24 | 2025-03-17 |
API Pricing Comparison
Input Price per Million Tokens
DeepSeek V4 Pro
$0.43
Mistral Small 3.1 24B
$0.35
Output Price per Million Tokens
DeepSeek V4 Pro
$0.87
Mistral Small 3.1 24B
$0.56
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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 V4 Pro Quirks & Gotchas
- ▸MoE architecture — cold-start latency on first request, use keep-alive
- ▸Best cost-performance ratio of any frontier model — strong tool calling for agentic use
Mistral Small 3.1 24B Quirks & Gotchas
No developer gotchas reported.