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Phi 4 vs Qwen2.5 VL 72B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5 VL 72B Instruct leads with 26.7% higher average benchmark score. Qwen2.5 VL 72B Instruct supports multimodal inputs. Overall, Qwen2.5 VL 72B Instruct 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
Qwen2.5 VL 72B Instruct is a multimodal language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 66.9% across 30 benchmarks. It excels particularly in DocVQA (96.4%), Android Control Low_EM (93.7%), ChartQA (89.5%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
1 month newer
Phi 4
Microsoft
2024-12-12
Qwen2.5 VL 72B Instruct
Alibaba Cloud / Qwen Team
2025-01-26
Performance Metrics
Context window and performance specifications
Average performance across 43 common benchmarks
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Phi 4
Average Score:20.0%
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Qwen2.5 VL 72B Instruct
Average Score:46.7%(+26.7%)
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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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Qwen2.5 VL 72B Instruct
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Phi 4
Avg Score:20.0%
Providers:1
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Qwen2.5 VL 72B Instruct
Avg Score:46.7%(+26.7%)
Providers:0