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Mistral Small 3 24B Base vs Qwen2.5 VL 32B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5 VL 32B Instruct leads with 14.9% higher average benchmark score. Overall, Qwen2.5 VL 32B Instruct is the stronger choice for coding tasks.
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Mistral AI
Mistral Small 24B Base was developed as a 24-billion-parameter foundation model, designed to serve as a base for fine-tuning and customization. Built to provide a strong starting point for domain-specific applications, it represents an intermediate-scale option in Mistral's model lineup.
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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.
29 days newer
Mistral Small 3 24B Base
Mistral AI
2025-01-30
Qwen2.5 VL 32B Instruct
Alibaba Cloud / Qwen Team
2025-02-28
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Average performance across 5 common benchmarks
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Mistral Small 3 24B Base
Average Score:57.0%
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Qwen2.5 VL 32B Instruct
Average Score:71.9%(+14.9%)
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Knowledge Cutoff
Training data recency comparison
Mistral Small 3 24B Base
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 24B Base
0 providers
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Qwen2.5 VL 32B Instruct
0 providers
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Mistral Small 3 24B Base
Avg Score:57.0%
Providers:0
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Qwen2.5 VL 32B Instruct
Avg Score:71.9%(+14.9%)
Providers:0