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Phi 4 vs QvQ-72B-Preview
Comprehensive side-by-side LLM comparison
Phi 4 leads with 38.8% higher average benchmark score. QvQ-72B-Preview supports multimodal inputs. Overall, Phi 4 is the stronger choice for coding tasks.
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Microsoft
Phi 4 is a language model developed by Microsoft. It achieves strong performance with an average score of 66.0% across 13 benchmarks. It excels particularly in MMLU (84.8%), HumanEval+ (82.8%), HumanEval (82.6%). The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft's latest advancement in AI technology.
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Alibaba Cloud / Qwen Team
QvQ-72B-Preview is a multimodal language model developed by Alibaba Cloud / Qwen Team. The model shows competitive results across 4 benchmarks. Notable strengths include MathVista (71.4%), MMMU (70.3%), MathVision (35.9%). 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 Alibaba Cloud / Qwen Team's latest advancement in AI technology.
13 days newer
Phi 4
Microsoft
2024-12-12
QvQ-72B-Preview
Alibaba Cloud / Qwen Team
2024-12-25
Performance Metrics
Context window and performance specifications
Average performance across 17 common benchmarks
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Phi 4
Average Score:50.5%(+38.8%)
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QvQ-72B-Preview
Average Score:11.6%
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Knowledge Cutoff
Training data recency comparison
Phi 4
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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Phi 4
1 providers
DeepInfra
Throughput: 33 tok/s
Latency: 0.2ms
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QvQ-72B-Preview
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Phi 4
Avg Score:50.5%(+38.8%)
Providers:1
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QvQ-72B-Preview
Avg Score:11.6%
Providers:0