Comprehensive side-by-side LLM comparison
GPT-4.1 mini supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
Mistral AI
Codestral is a 22-billion-parameter code-specialized model from Mistral AI, released in May 2024 as the company's first dedicated coding model, trained with focus on fill-in-the-middle (FIM) completion, code generation, and repair across 80+ programming languages. Unlike Mistral's general-purpose Apache 2.0 models, Codestral was released under a separate non-production research license, reflecting its positioning as a professional coding tool requiring commercial API access for production deployment. Its FIM support made it particularly valued for IDE integrations and code completion tools that need to insert code within existing contexts rather than only appending to the end.
OpenAI
GPT-4.1 mini, released by OpenAI in April 2025, is a smaller variant from the GPT-4.1 family designed for efficient, cost-effective deployments requiring long-context understanding. It features a 1M token context window and native image understanding, with maintained coding and instruction-following capabilities relative to its size. GPT-4.1 mini targets applications needing a balance between response speed, cost, and capability, such as production APIs with high request volumes.
10 months newer

Codestral 22B
Mistral AI
2024-05-29

GPT-4.1 mini
OpenAI
2025-04-14
Context window and performance specifications
Available providers and their performance metrics
Codestral 22B
GPT-4.1 mini
OpenAI
Codestral 22B
GPT-4.1 mini
Codestral 22B
GPT-4.1 mini