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Codestral-22B vs Qwen2.5 7B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5 7B Instruct leads with 2.3% higher average benchmark score. 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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Alibaba Cloud / Qwen Team
Qwen 2.5 7B was created as an efficient instruction-tuned model, designed to provide capable performance with just 7 billion parameters. Built for applications requiring reliable language understanding with minimal computational overhead, it serves as an accessible entry point to the Qwen 2.5 family.
3 months newer
Codestral-22B
Mistral AI
2024-05-29
Qwen2.5 7B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
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Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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Codestral-22B
Average Score:79.7%
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Qwen2.5 7B Instruct
Average Score:82.0%(+2.3%)
Provider Availability & Performance
Available providers and their performance metrics
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Codestral-22B
0 providers
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Qwen2.5 7B Instruct
1 providers
Together
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Codestral-22B
Avg Score:79.7%
Providers:0
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Qwen2.5 7B Instruct
Avg Score:82.0%(+2.3%)
Providers:1