DeepSeek V4 Pro vs Mistral Large 2
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 Large 2.
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 Large 2
Mistral Large 2 is Mistral AI's second-generation flagship commercial model, delivering substantial improvements over the original Mistral Large in reasoning, tool use, multilingual capabilities, and instruction following. With a 1-million-token context window, it processes entire codebases and lengthy documents in a single pass. Mistral Large 2 excels at complex agentic workflows, structured JSON output, and native function calling — making it one of the top choices for European enterprises requiring GDPR-compliant AI infrastructure.
Technical Specifications
| Specification | DeepSeek V4 Pro | Mistral Large 2 |
|---|---|---|
| Provider | DeepSeek | Mistral |
| Context Window | 1,048,576 tokens | 1,048,576 tokens |
| Agent Suitability | 94/100 | 93/100 |
| Time to First Token (TTFT) | 280 ms | 270 ms |
| Deployment Model | managed api | managed api |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2026-04-24 | 2025-07-24 |
API Pricing Comparison
Input Price per Million Tokens
DeepSeek V4 Pro
$0.43
Mistral Large 2
$0.60
Output Price per Million Tokens
DeepSeek V4 Pro
$0.87
Mistral Large 2
$1.80
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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 Large 2 Quirks & Gotchas
- ▸Excellent European data sovereignty — GDPR-compliant infrastructure
- ▸1M context window enables full codebase analysis in a single pass