Model Comparison

Comprehensive side-by-side analysis of model capabilities and performance

Gemini Diffusion

Google

Gemini Diffusion is a language model developed by Google. The model shows competitive results across 10 benchmarks. It excels particularly in HumanEval (89.6%), MBPP (76.0%), Global-MMLU-Lite (69.1%). Released in 2025, it represents Google's latest advancement in AI technology.

Phi-3.5-MoE-instruct

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%). The model shows particular specialization in reasoning tasks with an average performance of 85.4%. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft's latest advancement in AI technology.

Phi-3.5-MoE-instruct

Microsoft

2024-08-23

Gemini Diffusion

Google

2025-05-20

9 months newer

Average performance across 3 common benchmarks

Gemini Diffusion

+5.9%

Average Score:68.7%

Phi-3.5-MoE-instruct

Average Score:62.8%

Performance comparison across key benchmark categories

Gemini Diffusion

code

60.5%

general

37.9%

Phi-3.5-MoE-instruct

code

+15.3%

75.8%

general

+23.0%

60.9%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

Gemini Diffusion

0 providers

Phi-3.5-MoE-instruct

0 providers

Gemini Diffusion

+5.9%

Avg Score:68.7%

Providers:0

Phi-3.5-MoE-instruct

Avg Score:62.8%

Providers:0