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Gemini 1.0 Pro vs Phi-3.5-vision-instruct
Comprehensive side-by-side LLM comparison
Phi-3.5-vision-instruct leads with 11.2% 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 1.0 Pro is a language model developed by Google. The model shows competitive results across 9 benchmarks. Notable strengths include BIG-Bench (75.0%), MMLU (71.8%), WMT23 (71.7%). The model is available through 1 API provider. 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.
6 months newer
Gemini 1.0 Pro
2024-02-15
Phi-3.5-vision-instruct
Microsoft
2024-08-23
Performance Metrics
Context window and performance specifications
Average performance across 16 common benchmarks
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Gemini 1.0 Pro
Average Score:27.2%
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Phi-3.5-vision-instruct
Average Score:38.4%(+11.2%)
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Knowledge Cutoff
Training data recency comparison
Gemini 1.0 Pro
2024-02-01
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 1.0 Pro
1 providers
Throughput: 120 tok/s
Latency: 0.4ms
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Phi-3.5-vision-instruct
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Gemini 1.0 Pro
Avg Score:27.2%
Providers:1
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Phi-3.5-vision-instruct
Avg Score:38.4%(+11.2%)
Providers:0