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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 43.2% 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 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-MoE-instruct is a language model developed by Microsoft. It achieves strong performance with an average score of 65.6% across 31 benchmarks. It excels particularly in ARC-C (91.0%), OpenBookQA (89.6%), GSM8k (88.7%). 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-MoE-instruct
Microsoft
2024-08-23
Performance Metrics
Context window and performance specifications
Average performance across 37 common benchmarks
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Gemini 1.0 Pro
Average Score:11.8%
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Phi-3.5-MoE-instruct
Average Score:54.9%(+43.2%)
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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-MoE-instruct
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Gemini 1.0 Pro
Avg Score:11.8%
Providers:1
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Phi-3.5-MoE-instruct
Avg Score:54.9%(+43.2%)
Providers:0