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DeepSeek VL2 vs Phi 4 Reasoning Plus
Comprehensive side-by-side LLM comparison
DeepSeek VL2 leads with 5.0% higher average benchmark score. DeepSeek VL2 supports multimodal inputs. Overall, DeepSeek VL2 is the stronger choice for coding tasks.
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DeepSeek
DeepSeek VL2 is a multimodal language model developed by DeepSeek. It achieves strong performance with an average score of 70.9% across 14 benchmarks. It excels particularly in DocVQA (93.3%), ChartQA (86.0%), TextVQA (84.2%). It supports a 259K token context window for handling large documents. The model is available through 1 API provider. 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 Plus is a language model developed by Microsoft. It achieves strong performance with an average score of 78.9% across 11 benchmarks. It excels particularly in FlenQA (97.9%), HumanEval+ (92.3%), IFEval (84.9%). 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
DeepSeek
2024-12-13
Phi 4 Reasoning Plus
Microsoft
2025-04-30
Performance Metrics
Context window and performance specifications
Average performance across 25 common benchmarks
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DeepSeek VL2
Average Score:39.7%(+5.0%)
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Phi 4 Reasoning Plus
Average Score:34.7%
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Knowledge Cutoff
Training data recency comparison
Phi 4 Reasoning Plus
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
1 providers
Replicate
Throughput: 22 tok/s
Latency: 0.5ms
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Phi 4 Reasoning Plus
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DeepSeek VL2
Avg Score:39.7%(+5.0%)
Providers:1
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Phi 4 Reasoning Plus
Avg Score:34.7%
Providers:0