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Gemini 1.5 Pro vs Phi-3.5-vision-instruct
Comprehensive side-by-side LLM comparison
Gemini 1.5 Pro leads with 35.2% higher average benchmark score. Overall, Gemini 1.5 Pro is the stronger choice for coding tasks.
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Gemini 1.5 Pro is a multimodal language model developed by Google. It achieves strong performance with an average score of 72.6% across 23 benchmarks. It excels particularly in XSTest (98.8%), HellaSwag (93.3%), GSM8k (90.8%). With a 2.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. 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.
3 months newer
Gemini 1.5 Pro
2024-05-01
Phi-3.5-vision-instruct
Microsoft
2024-08-23
Performance Metrics
Context window and performance specifications
Average performance across 30 common benchmarks
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Gemini 1.5 Pro
Average Score:55.6%(+35.2%)
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Phi-3.5-vision-instruct
Average Score:20.5%
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Knowledge Cutoff
Training data recency comparison
Gemini 1.5 Pro
2023-11-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Gemini 1.5 Pro
1 providers
Throughput: 85 tok/s
Latency: 0.7ms
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Phi-3.5-vision-instruct
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Gemini 1.5 Pro
Avg Score:55.6%(+35.2%)
Providers:1
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Phi-3.5-vision-instruct
Avg Score:20.5%
Providers:0