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Codestral 2508 vs Qwen2.5 7B Instruct

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 Qwen2.5 7B Instruct.

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

Qwen2.5 7B Instruct

Qwen2.5 7B is the latest series of Qwen large language models. Qwen2.5 brings the following improvements upon Qwen2: - Significantly more knowledge and has greatly improved capabilities in coding and...

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Technical Specifications

SpecificationCodestral 2508Qwen2.5 7B Instruct
ProviderMistralAlibaba
Context Window256,000 tokens131,072 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelself hostableself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-08-012024-10-16

API Pricing Comparison

Input Price per Million Tokens

Codestral 2508

$0.30

Qwen2.5 7B Instruct

$0.04

Output Price per Million Tokens

Codestral 2508

$0.90

Qwen2.5 7B Instruct

$0.10

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.

MMLUGeneral knowledge & multi-task understanding
N/Avs7580.0%
Codestral 2508
Qwen2.5 7B Instruct
HumanEvalPython coding & logic synthesis
N/Avs7800.0%
Codestral 2508
Qwen2.5 7B Instruct
MATHComplex mathematical problem solving
N/Avs4250.0%
Codestral 2508
Qwen2.5 7B Instruct
GPQAGraduate-level expert reasoning
N/Avs3200.0%
Codestral 2508
Qwen2.5 7B Instruct
HellaSwagCommonsense reasoning and inference
N/Avs7950.0%
Codestral 2508
Qwen2.5 7B Instruct
MT-BenchMulti-turn conversation flow quality
N/Avs820.0%
Codestral 2508
Qwen2.5 7B Instruct

Codestral 2508 Quirks & Gotchas

No developer gotchas reported.

Qwen2.5 7B Instruct Quirks & Gotchas

No developer gotchas reported.