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Codestral-22B vs Qwen2.5 VL 32B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5 VL 32B Instruct leads with 8.1% higher average benchmark score. Qwen2.5 VL 32B Instruct supports multimodal inputs. Overall, Qwen2.5 VL 32B Instruct 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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Alibaba Cloud / Qwen Team
Qwen2.5-VL 32B was developed as a mid-sized vision-language model, designed to balance multimodal capability with practical deployment considerations. Built with 32 billion parameters for vision and language integration, it serves applications requiring strong visual understanding without flagship-scale resources.
9 months newer
Codestral-22B
Mistral AI
2024-05-29
Qwen2.5 VL 32B Instruct
Alibaba Cloud / Qwen Team
2025-02-28
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Average performance across 2 common benchmarks
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Codestral-22B
Average Score:79.7%
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Qwen2.5 VL 32B Instruct
Average Score:87.8%(+8.1%)
Provider Availability & Performance
Available providers and their performance metrics
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Codestral-22B
0 providers
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Qwen2.5 VL 32B Instruct
0 providers
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Codestral-22B
Avg Score:79.7%
Providers:0
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Qwen2.5 VL 32B Instruct
Avg Score:87.8%(+8.1%)
Providers:0