Codestral 2508 vs DeepSeek R1
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 Codestral 2508 and DeepSeek R1.
Codestral 2508
Mistral's cutting-edge language model for coding released end of July 2025. Codestral specializes in low-latency, high-frequency tasks such as fill-in-the-middle (FIM), code correction and test generation. [Blog Post](https://mistral.ai/news/codestral-25-08)
DeepSeek R1
A premier reasoning model employing large-scale reinforcement learning. Displays specialized math, coding, and logical validation capabilities comparable to OpenAI's o1.
Technical Specifications
| Specification | Codestral 2508 | DeepSeek R1 |
|---|---|---|
| Provider | Mistral | DeepSeek |
| Context Window | 256,000 tokens | 163,840 tokens |
| Agent Suitability | N/A | 78/100 |
| Time to First Token (TTFT) | N/A | 1800 ms |
| Deployment Model | self hostable | managed api |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2025-08-01 | 2025-01-20 |
API Pricing Comparison
Input Price per Million Tokens
Codestral 2508
$0.30
DeepSeek R1
$0.70
Output Price per Million Tokens
Codestral 2508
$0.90
DeepSeek R1
$2.50
Want to test both models live?
Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.
Benchmark Performance Metrics
Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.
Codestral 2508 Quirks & Gotchas
No developer gotchas reported.
DeepSeek R1 Quirks & Gotchas
- ▸Reasoning model — not designed for high-frequency tool calling
- ▸Pair with a smaller model (V4 Flash) for routing and use R1 for complex reasoning only