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Gemma 2 27B vs Phi-3.5-vision-instruct
Comprehensive side-by-side LLM comparison
Gemma 2 27B leads with 19.7% higher average benchmark score. Phi-3.5-vision-instruct supports multimodal inputs. Overall, Gemma 2 27B is the stronger choice for coding tasks.
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Gemma 2 27B is a language model developed by Google. It achieves strong performance with an average score of 69.1% across 16 benchmarks. It excels particularly in ARC-E (88.6%), HellaSwag (86.4%), BoolQ (84.8%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, 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.
1 month newer
Gemma 2 27B
2024-06-27
Phi-3.5-vision-instruct
Microsoft
2024-08-23
Average performance across 25 common benchmarks
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Gemma 2 27B
Average Score:44.2%(+19.7%)
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Phi-3.5-vision-instruct
Average Score:24.6%
Provider Availability & Performance
Available providers and their performance metrics
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Gemma 2 27B
0 providers
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Phi-3.5-vision-instruct
0 providers
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Gemma 2 27B
Avg Score:44.2%(+19.7%)
Providers:0
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Phi-3.5-vision-instruct
Avg Score:24.6%
Providers:0