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DeepSeek VL2 Tiny vs Phi-3.5-vision-instruct
Comprehensive side-by-side LLM comparison
DeepSeek VL2 Tiny leads with 15.8% higher average benchmark score. Overall, DeepSeek VL2 Tiny is the stronger choice for coding tasks.
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DeepSeek
DeepSeek VL2 Tiny is a multimodal language model developed by DeepSeek. It achieves strong performance with an average score of 63.1% across 14 benchmarks. It excels particularly in DocVQA (88.9%), ChartQA (81.0%), OCRBench (80.9%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents DeepSeek's latest advancement in AI technology.
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Microsoft
Phi-3.5-vision-instruct is a multimodal language model developed by Microsoft. It achieves strong performance with an average score of 68.3% across 9 benchmarks. It excels particularly in ScienceQA (91.3%), POPE (86.1%), MMBench (81.9%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft's latest advancement in AI technology.
3 months newer
Phi-3.5-vision-instruct
Microsoft
2024-08-23
DeepSeek VL2 Tiny
DeepSeek
2024-12-13
Average performance across 17 common benchmarks
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DeepSeek VL2 Tiny
Average Score:52.0%(+15.8%)
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Phi-3.5-vision-instruct
Average Score:36.1%
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek VL2 Tiny
0 providers
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Phi-3.5-vision-instruct
0 providers
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DeepSeek VL2 Tiny
Avg Score:52.0%(+15.8%)
Providers:0
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Phi-3.5-vision-instruct
Avg Score:36.1%
Providers:0