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DeepSeek VL2 Tiny vs Phi 4 Mini
Comprehensive side-by-side LLM comparison
Phi 4 Mini leads with 7.3% higher average benchmark score. DeepSeek VL2 Tiny supports multimodal inputs. Overall, Phi 4 Mini 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 4 Mini is a language model developed by Microsoft. It achieves strong performance with an average score of 65.4% across 17 benchmarks. It excels particularly in GSM8k (88.6%), ARC-C (83.7%), BoolQ (81.2%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft's latest advancement in AI technology.
1 month newer
DeepSeek VL2 Tiny
DeepSeek
2024-12-13
Phi 4 Mini
Microsoft
2025-02-01
Average performance across 31 common benchmarks
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DeepSeek VL2 Tiny
Average Score:28.5%
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Phi 4 Mini
Average Score:35.8%(+7.3%)
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Knowledge Cutoff
Training data recency comparison
Phi 4 Mini
2024-06-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek VL2 Tiny
0 providers
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Phi 4 Mini
0 providers
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DeepSeek VL2 Tiny
Avg Score:28.5%
Providers:0
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Phi 4 Mini
Avg Score:35.8%(+7.3%)
Providers:0