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-mini-instruct

Microsoft

Phi-3.5-mini-instruct is a language model developed by Microsoft. The model shows competitive results across 31 benchmarks. It excels particularly in GSM8k (86.2%), ARC-C (84.6%), RULER (84.1%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. 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-mini-instruct

Microsoft

2024-08-23

Gemini Diffusion

Google

2025-05-20

9 months newer

Performance Metrics

Context window and performance specifications

Gemini Diffusion

Max Context:-

Phi-3.5-mini-instruct

Larger context

Max Context:256.0K

Parameters:3.8B

Average performance across 3 common benchmarks

Gemini Diffusion

+14.4%

Average Score:68.7%

Phi-3.5-mini-instruct

Average Score:54.3%

Performance comparison across key benchmark categories

Gemini Diffusion

code

60.5%

general

37.9%

Phi-3.5-mini-instruct

code

+5.7%

66.2%

general

+17.5%

55.4%

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-mini-instruct

1 providers

Azure

Throughput: 23 tok/s

Latency: 0.52ms

Gemini Diffusion

+14.4%

Avg Score:68.7%

Providers:0

Phi-3.5-mini-instruct

Avg Score:54.3%

Providers:1