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Gemini 1.0 Pro vs Phi-3.5-MoE-instruct
Comprehensive side-by-side LLM comparison
Phi-3.5-MoE-instruct leads with 14.3% higher average benchmark score. Overall, Phi-3.5-MoE-instruct is the stronger choice for coding tasks.
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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 MoE was created using a mixture-of-experts architecture, designed to provide enhanced capabilities while maintaining efficiency through sparse activation. Built to combine the benefits of larger models with practical computational requirements, it represents Microsoft's exploration of efficient scaling techniques.
6 months newer
Gemini 1.0 Pro
2024-02-15
Phi-3.5-MoE-instruct
Microsoft
2024-08-23
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Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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Gemini 1.0 Pro
Average Score:44.1%
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Phi-3.5-MoE-instruct
Average Score:58.4%(+14.3%)
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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-MoE-instruct
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Gemini 1.0 Pro
Avg Score:44.1%
Providers:1
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Phi-3.5-MoE-instruct
Avg Score:58.4%(+14.3%)
Providers:0