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DeepSeek VL2 Small vs Phi-3.5-vision-instruct
Comprehensive side-by-side LLM comparison
DeepSeek VL2 Small leads with 6.0% higher average benchmark score. Overall, DeepSeek VL2 Small is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-VL2-Small was created as a compact vision-language variant, designed to bring multimodal capabilities to applications with limited computational resources. Built to provide visual and textual understanding in a more efficient package, it serves use cases requiring practical deployment of vision-language AI.
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Microsoft
Phi-3.5 Vision was developed as a multimodal variant of Phi-3.5, designed to understand and reason about both images and text. Built to extend the Phi family's efficiency into vision-language tasks, it enables compact multimodal AI for practical applications.
3 months newer
Phi-3.5-vision-instruct
Microsoft
2024-08-23
DeepSeek VL2 Small
DeepSeek
2024-12-13
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Average performance across 6 common benchmarks
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DeepSeek VL2 Small
Average Score:72.8%(+6.0%)
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Phi-3.5-vision-instruct
Average Score:66.8%
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek VL2 Small
0 providers
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Phi-3.5-vision-instruct
0 providers
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DeepSeek VL2 Small
Avg Score:72.8%(+6.0%)
Providers:0
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Phi-3.5-vision-instruct
Avg Score:66.8%
Providers:0