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Mistral Small 3.2 24B Instruct vs Qwen2.5 VL 32B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5 VL 32B Instruct leads with 3.3% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
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Mistral AI
Mistral Small 3.2 24B Instruct represents a further evolution of the Small model series, developed with continued refinements to instruction-following and task performance. Built to incorporate ongoing improvements, it provides the latest capabilities in Mistral's intermediate-scale offering.
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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.
3 months newer
Qwen2.5 VL 32B Instruct
Alibaba Cloud / Qwen Team
2025-02-28
Mistral Small 3.2 24B Instruct
Mistral AI
2025-06-20
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Average performance across 6 common benchmarks
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Mistral Small 3.2 24B Instruct
Average Score:70.1%
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Qwen2.5 VL 32B Instruct
Average Score:73.4%(+3.3%)
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Knowledge Cutoff
Training data recency comparison
Mistral Small 3.2 24B Instruct
2023-10-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Mistral Small 3.2 24B Instruct
0 providers
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Qwen2.5 VL 32B Instruct
0 providers
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Mistral Small 3.2 24B Instruct
Avg Score:70.1%
Providers:0
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Qwen2.5 VL 32B Instruct
Avg Score:73.4%(+3.3%)
Providers:0