DeepSeek V4 Pro vs Mistral Small 3
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.
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
Mistral Small 3 is a 24B-parameter language model optimized for low-latency performance across common AI tasks. Released under the Apache 2.0 license, it features both pre-trained and instruction-tuned versions designed...
Technical Specifications
| Specification | DeepSeek V4 Pro | Mistral Small 3 |
|---|---|---|
| Provider | DeepSeek | Mistral |
| Context Window | 1,048,576 tokens | 32,768 tokens |
| Agent Suitability | 94/100 | 84/100 |
| Time to First Token (TTFT) | 280 ms | 120 ms |
| Deployment Model | managed api | managed api |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2026-04-24 | 2025-01-30 |
API Pricing Comparison
Input Price per Million Tokens
DeepSeek V4 Pro
$0.43
Mistral Small 3
$0.07
Output Price per Million Tokens
DeepSeek V4 Pro
$0.87
Mistral Small 3
$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 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 Quirks & Gotchas
- ▸Fastest TTFT at lowest cost — ideal for high-volume classification
- ▸Not designed for complex reasoning — route multi-step tasks to Mistral Large 3