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Codestral-22B vs Llama 3.1 70B Instruct
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Llama 3.1 70B Instruct is available on 9 providers. 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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Meta
Llama 3.1 70B was created as a balanced open-source model, designed to provide strong performance with 70 billion parameters while remaining practical for many deployment scenarios. Built to serve as a versatile foundation for fine-tuning and application development, it combines capability with accessibility in the open-source ecosystem.
1 month newer
Codestral-22B
Mistral AI
2024-05-29
Llama 3.1 70B Instruct
Meta
2024-07-23
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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:81.1%(+0.6%)
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Llama 3.1 70B Instruct
Average Score:80.5%
Provider Availability & Performance
Available providers and their performance metrics
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Codestral-22B
0 providers
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Llama 3.1 70B Instruct
9 providers
Bedrock
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Codestral-22B
Avg Score:81.1%(+0.6%)
Providers:0
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Llama 3.1 70B Instruct
Avg Score:80.5%
Providers:9