Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Llama 4 Maverick 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.
Meta AI
Llama 4 Maverick, released by Meta on April 5, 2025, is a natively multimodal Mixture-of-Experts large language model with 400 billion total parameters and 17 billion active parameters per inference. It features a 1M token context window and supports text and image input, enabling strong performance on both language and vision tasks. Maverick targets open-source deployments requiring large-scale multimodal reasoning, released under Meta's custom license.
10 months newer

Codestral 22B
Mistral AI
2024-05-29

Llama 4 Maverick
Meta AI
2025-04-05
Context window and performance specifications
Average performance across 1 common benchmarks
Codestral 22B
Llama 4 Maverick
Performance comparison across key benchmark categories
Codestral 22B
Llama 4 Maverick
Available providers and their performance metrics
Codestral 22B
Llama 4 Maverick
Together AI
Codestral 22B
Llama 4 Maverick
Codestral 22B
Llama 4 Maverick