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Codestral-22B vs Llama 4 Scout
Comprehensive side-by-side LLM comparison
Codestral-22B leads with 10.4% higher average benchmark score. Llama 4 Scout supports multimodal inputs. Llama 4 Scout is available on 6 providers. Overall, Codestral-22B is the stronger choice for coding tasks.
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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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Meta
Llama 4 Scout was created as an exploratory variant in the Llama 4 family, designed to investigate new architectures and optimization strategies. Built as part of Meta's commitment to advancing open-source AI, it serves as a testbed for innovations that may inform future model releases.
10 months newer
Codestral-22B
Mistral AI
2024-05-29
Llama 4 Scout
Meta
2025-04-05
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Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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Codestral-22B
Average Score:78.2%(+10.4%)
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Llama 4 Scout
Average Score:67.8%
Provider Availability & Performance
Available providers and their performance metrics
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Codestral-22B
0 providers
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Llama 4 Scout
6 providers
DeepInfra
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Codestral-22B
Avg Score:78.2%(+10.4%)
Providers:0
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Llama 4 Scout
Avg Score:67.8%
Providers:6