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Codestral 2508 vs GPT-4.1

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.

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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OpenAI

GPT-4.1

GPT-4.1 is a flagship large language model optimized for advanced instruction following, real-world software engineering, and long-context reasoning. It supports a 1 million token context window and outperforms GPT-4o and...

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Technical Specifications

SpecificationCodestral 2508GPT-4.1
ProviderMistralOpenAI
Context Window256,000 tokens1,047,576 tokens
Agent SuitabilityN/A91/100
Time to First Token (TTFT)N/A250 ms
Deployment Modelself hostablemanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-08-012025-04-14

API Pricing Comparison

Input Price per Million Tokens

Codestral 2508

$0.30

GPT-4.1

$2.00

Output Price per Million Tokens

Codestral 2508

$0.90

GPT-4.1

$8.00

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 Quirks & Gotchas

  • โ–ธStrong tool-calling reliability โ€” good migration path from GPT-4o
  • โ–ธMigrate to GPT-5 for larger context window and improved reasoning