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Gemini Diffusion vs Phi-3.5-vision-instruct
Comprehensive side-by-side LLM comparison
Phi-3.5-vision-instruct leads with 7.6% higher average benchmark score. Phi-3.5-vision-instruct supports multimodal inputs. Overall, Phi-3.5-vision-instruct is the stronger choice for coding tasks.
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Gemini Diffusion is a language model developed by Google. The model shows competitive results across 10 benchmarks. It excels particularly in HumanEval (89.6%), MBPP (76.0%), Global-MMLU-Lite (69.1%). Released in 2025, it represents Google'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.
9 months newer
Phi-3.5-vision-instruct
Microsoft
2024-08-23
Gemini Diffusion
2025-05-20
Average performance across 19 common benchmarks
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Gemini Diffusion
Average Score:24.7%
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Phi-3.5-vision-instruct
Average Score:32.3%(+7.6%)
Provider Availability & Performance
Available providers and their performance metrics
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Gemini Diffusion
0 providers
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Phi-3.5-vision-instruct
0 providers
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Gemini Diffusion
Avg Score:24.7%
Providers:0
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Phi-3.5-vision-instruct
Avg Score:32.3%(+7.6%)
Providers:0