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Codestral-22B vs GPT-4.1
Comprehensive side-by-side LLM comparison
GPT-4.1 leads with 33.6% higher average benchmark score. GPT-4.1 supports multimodal inputs. Overall, GPT-4.1 is the stronger choice for coding tasks.
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Mistral AI
Codestral-22B is a language model developed by Mistral AI. It achieves strong performance with an average score of 65.9% across 7 benchmarks. It excels particularly in HumanEvalFIM-Average (91.6%), HumanEval (81.1%), MBPP (78.2%). Released in 2024, it represents Mistral AI's latest advancement in AI technology.
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OpenAI
GPT-4.1 is a multimodal language model developed by OpenAI. The model shows competitive results across 30 benchmarks. It excels particularly in MMLU (90.2%), CharXiv-D (87.9%), IFEval (87.4%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents OpenAI's latest advancement in AI technology.
10 months newer
Codestral-22B
Mistral AI
2024-05-29
GPT-4.1
OpenAI
2025-04-14
Performance Metrics
Context window and performance specifications
Average performance across 37 common benchmarks
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Codestral-22B
Average Score:12.5%
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GPT-4.1
Average Score:46.0%(+33.6%)
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Knowledge Cutoff
Training data recency comparison
GPT-4.1
2024-06-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Codestral-22B
0 providers
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GPT-4.1
1 providers
OpenAI
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Codestral-22B
Avg Score:12.5%
Providers:0
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GPT-4.1
Avg Score:46.0%(+33.6%)
Providers:1