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Codestral 2508 vs Llama 3.2 3B 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 Llama 3.2 3B 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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Meta

Llama 3.2 3B Instruct

Llama 3.2 3B is a 3-billion-parameter multilingual large language model, optimized for advanced natural language processing tasks like dialogue generation, reasoning, and summarization. Designed with the latest transformer architecture, it...

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Technical Specifications

SpecificationCodestral 2508Llama 3.2 3B Instruct
ProviderMistralMeta
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 Date2025-08-012024-09-25

API Pricing Comparison

Input Price per Million Tokens

Codestral 2508

$0.30

Llama 3.2 3B Instruct

$0.05

Output Price per Million Tokens

Codestral 2508

$0.90

Llama 3.2 3B Instruct

$0.33

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.

Llama 3.2 3B Instruct Quirks & Gotchas

No developer gotchas reported.