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Codestral-22B vs GPT-4.1 nano
Comprehensive side-by-side LLM comparison
GPT-4.1 nano supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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Mistral AI
Codestral 22B was developed as a specialized coding model from Mistral AI, designed to excel at code generation, completion, and understanding tasks. Built with 22 billion parameters optimized for programming, it serves developers requiring advanced assistance with software development across multiple programming languages.
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OpenAI
GPT-4.1 Nano was developed as the smallest and most efficient variant in the GPT-4.1 family, designed for applications requiring minimal latency and resource usage. Built to enable AI capabilities on edge devices and resource-constrained environments, it distills GPT-4.1 capabilities into an ultra-compact form factor.
10 months newer
Codestral-22B
Mistral AI
2024-05-29
GPT-4.1 nano
OpenAI
2025-04-14
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Performance Metrics
Context window and performance specifications
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Knowledge Cutoff
Training data recency comparison
GPT-4.1 nano
2024-05-31
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 nano
1 providers
OpenAI
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Codestral-22B
Avg Score:0.0%
Providers:0
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GPT-4.1 nano
Avg Score:0.0%
Providers:1