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Gemini 1.0 Pro vs Phi-3.5-vision-instruct
Comprehensive side-by-side LLM comparison
Gemini 1.0 Pro leads with 3.8% higher average benchmark score. Phi-3.5-vision-instruct supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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Gemini 1.0 Pro was developed as Google's initial production-ready multimodal model, designed to handle text and provide strong performance across diverse tasks. Built to serve as a versatile foundation for applications requiring reliable language understanding and generation, it introduced the Gemini architecture to developers and enterprises.
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Microsoft
Phi-3.5 Vision was developed as a multimodal variant of Phi-3.5, designed to understand and reason about both images and text. Built to extend the Phi family's efficiency into vision-language tasks, it enables compact multimodal AI for practical applications.
6 months newer
Gemini 1.0 Pro
2024-02-15
Phi-3.5-vision-instruct
Microsoft
2024-08-23
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Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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Gemini 1.0 Pro
Average Score:47.3%(+3.8%)
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Phi-3.5-vision-instruct
Average Score:43.5%
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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:47.3%(+3.8%)
Providers:1
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Phi-3.5-vision-instruct
Avg Score:43.5%
Providers:0