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Gemma 2 9B vs Phi-3.5-vision-instruct
Comprehensive side-by-side LLM comparison
Gemma 2 9B leads with 16.8% higher average benchmark score. Phi-3.5-vision-instruct supports multimodal inputs. Overall, Gemma 2 9B is the stronger choice for coding tasks.
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Gemma 2 9B is a language model developed by Google. It achieves strong performance with an average score of 64.6% across 16 benchmarks. It excels particularly in ARC-E (88.0%), BoolQ (84.2%), HellaSwag (81.9%). 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 9B
2024-06-27
Phi-3.5-vision-instruct
Microsoft
2024-08-23
Average performance across 25 common benchmarks
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Gemma 2 9B
Average Score:41.4%(+16.8%)
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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 9B
0 providers
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Phi-3.5-vision-instruct
0 providers
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Gemma 2 9B
Avg Score:41.4%(+16.8%)
Providers:0
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Phi-3.5-vision-instruct
Avg Score:24.6%
Providers:0