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DeepSeek VL2 Tiny vs Phi 4 Reasoning
Comprehensive side-by-side LLM comparison
DeepSeek VL2 Tiny leads with 2.3% higher average benchmark score. DeepSeek VL2 Tiny supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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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 Reasoning is a language model developed by Microsoft. It achieves strong performance with an average score of 75.1% across 11 benchmarks. It excels particularly in FlenQA (97.7%), HumanEval+ (92.9%), IFEval (83.4%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft's latest advancement in AI technology.
4 months newer
DeepSeek VL2 Tiny
DeepSeek
2024-12-13
Phi 4 Reasoning
Microsoft
2025-04-30
Average performance across 25 common benchmarks
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DeepSeek VL2 Tiny
Average Score:35.3%(+2.3%)
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Phi 4 Reasoning
Average Score:33.1%
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Knowledge Cutoff
Training data recency comparison
Phi 4 Reasoning
2025-03-01
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 Reasoning
0 providers
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DeepSeek VL2 Tiny
Avg Score:35.3%(+2.3%)
Providers:0
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Phi 4 Reasoning
Avg Score:33.1%
Providers:0