โ† Back to Model Hub/SIDE-BY-SIDE REVIEW
SHARE THIS:

Codestral 2508 vs GPT-4.1 Nano

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 GPT-4.1 Nano.

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)

View Full Specs
OpenAI

GPT-4.1 Nano

For tasks that demand low latency, GPTโ€‘4.1 nano is the fastest and cheapest model in the GPT-4.1 series. It delivers exceptional performance at a small size with its 1 million...

View Full Specs

Technical Specifications

SpecificationCodestral 2508GPT-4.1 Nano
ProviderMistralOpenAI
Context Window256,000 tokens1,047,576 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelself hostablemanaged api
Production Stabilitystablebeta
API AvailableYesYes
Released Date2025-08-012025-04-14

API Pricing Comparison

Input Price per Million Tokens

Codestral 2508

$0.30

GPT-4.1 Nano

$0.10

Output Price per Million Tokens

Codestral 2508

$0.90

GPT-4.1 Nano

$0.40

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.

GPT-4.1 Nano Quirks & Gotchas

No developer gotchas reported.