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Phi 4 vs Phi-3.5-vision-instruct
Comprehensive side-by-side LLM comparison
Phi 4 leads with 11.1% higher average benchmark score. Phi-3.5-vision-instruct 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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Microsoft
Phi-3.5-vision-instruct is a multimodal language model developed by Microsoft. It achieves strong performance with an average score of 68.3% across 9 benchmarks. It excels particularly in ScienceQA (91.3%), POPE (86.1%), MMBench (81.9%). 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 Microsoft's latest advancement in AI technology.
3 months newer
Phi-3.5-vision-instruct
Microsoft
2024-08-23
Phi 4
Microsoft
2024-12-12
Performance Metrics
Context window and performance specifications
Average performance across 22 common benchmarks
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Phi 4
Average Score:39.0%(+11.1%)
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Phi-3.5-vision-instruct
Average Score:27.9%
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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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Phi-3.5-vision-instruct
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Phi 4
Avg Score:39.0%(+11.1%)
Providers:1
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Phi-3.5-vision-instruct
Avg Score:27.9%
Providers:0