+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Gemini 2.5 Pro vs Phi-3.5-MoE-instruct
Comprehensive side-by-side LLM comparison
Gemini 2.5 Pro leads with 46.2% higher average benchmark score. Gemini 2.5 Pro supports multimodal inputs. Gemini 2.5 Pro is available on 2 providers. Overall, Gemini 2.5 Pro is the stronger choice for coding tasks.
+
+
+
+
Gemini 2.5 Pro was developed as Google's most intelligent AI model, designed to comprehend vast datasets and challenging problems from diverse information sources including text, audio, images, and video. Built to handle complex reasoning and multi-step problem solving, it represents Google's flagship offering for enterprise and advanced applications.
+
+
+
+
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.
9 months newer
Phi-3.5-MoE-instruct
Microsoft
2024-08-23
Gemini 2.5 Pro
2025-05-20
+
+
+
+
+
+
+
+
+
+
+
+
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
+
+
+
+
Gemini 2.5 Pro
Average Score:83.0%(+46.2%)
+
+
+
+
Phi-3.5-MoE-instruct
Average Score:36.8%
+
+
+
+
Knowledge Cutoff
Training data recency comparison
Gemini 2.5 Pro
2025-01-31
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
Gemini 2.5 Pro
2 providers
Throughput: 85 tok/s
Latency: 0.7ms
ZeroEval
Throughput: 85 tok/s
Latency: 0.7ms
+
+
+
+
+
+
+
+
Gemini 2.5 Pro
Avg Score:83.0%(+46.2%)
Providers:2
+
+
+
+
Phi-3.5-MoE-instruct
Avg Score:36.8%
Providers:0