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DeepSeek VL2 Tiny vs Phi-3.5-MoE-instruct
Comprehensive side-by-side LLM comparison
Phi-3.5-MoE-instruct leads with 25.5% higher average benchmark score. DeepSeek VL2 Tiny supports multimodal inputs. Overall, Phi-3.5-MoE-instruct 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-MoE-instruct is a language model developed by Microsoft. It achieves strong performance with an average score of 65.6% across 31 benchmarks. It excels particularly in ARC-C (91.0%), OpenBookQA (89.6%), GSM8k (88.7%). 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-MoE-instruct
Microsoft
2024-08-23
DeepSeek VL2 Tiny
DeepSeek
2024-12-13
Average performance across 45 common benchmarks
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DeepSeek VL2 Tiny
Average Score:19.6%
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Phi-3.5-MoE-instruct
Average Score:45.2%(+25.5%)
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-MoE-instruct
0 providers
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DeepSeek VL2 Tiny
Avg Score:19.6%
Providers:0
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Phi-3.5-MoE-instruct
Avg Score:45.2%(+25.5%)
Providers:0