Codestral 2508 vs Qwen-Plus
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 Qwen-Plus.
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)
Qwen-Plus
Qwen-Plus, based on the Qwen2.5 foundation model, is a 131K context model with a balanced performance, speed, and cost combination.
Technical Specifications
| Specification | Codestral 2508 | Qwen-Plus |
|---|---|---|
| Provider | Mistral | Alibaba |
| Context Window | 256,000 tokens | 1,000,000 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 | beta |
| API Available | Yes | Yes |
| Released Date | 2025-08-01 | 2025-02-01 |
API Pricing Comparison
Input Price per Million Tokens
Codestral 2508
$0.30
Qwen-Plus
$0.26
Output Price per Million Tokens
Codestral 2508
$0.90
Qwen-Plus
$0.78
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.
Qwen-Plus Quirks & Gotchas
No developer gotchas reported.