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Codestral 2508 vs Qwen3.5-Flash

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 Qwen3.5-Flash.

Mistral

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)

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Alibaba

Qwen3.5-Flash

The Qwen3.5 native vision-language Flash models are built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. Compared to the...

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Technical Specifications

SpecificationCodestral 2508Qwen3.5-Flash
ProviderMistralAlibaba
Context Window256,000 tokens1,000,000 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelself hostableself hostable
Production Stabilitystablebeta
API AvailableYesYes
Released Date2025-08-012026-02-25

API Pricing Comparison

Input Price per Million Tokens

Codestral 2508

$0.30

Qwen3.5-Flash

$0.07

Output Price per Million Tokens

Codestral 2508

$0.90

Qwen3.5-Flash

$0.26

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.

Qwen3.5-Flash Quirks & Gotchas

No developer gotchas reported.