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.

Gemma 3n E4B Instructed

Google

Gemma 3n E4B Instructed is a multimodal language model developed by Google. The model shows competitive results across 18 benchmarks. Notable strengths include HumanEval (75.0%), MGSM (67.0%), MMLU (64.9%). The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Google's latest advancement in AI technology.

Gemini Diffusion

Google

2025-05-20

Gemma 3n E4B Instructed

Google

2025-06-26

1 month newer

Performance Metrics

Context window and performance specifications

Gemini Diffusion

Max Context:-

Gemma 3n E4B Instructed

Larger context

Max Context:64.0K

Parameters:8.0B

Average performance across 6 common benchmarks

Gemini Diffusion

+13.0%

Average Score:54.9%

Gemma 3n E4B Instructed

Average Score:41.9%

Performance comparison across key benchmark categories

Gemini Diffusion

code

+21.6%

60.5%

general

37.9%

Gemma 3n E4B Instructed

code

38.9%

general

+3.7%

41.6%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Knowledge Cutoff

Training data recency comparison

Gemma 3n E4B Instructed

2024-06-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Gemini Diffusion

0 providers

Gemma 3n E4B Instructed

1 providers

Together

Throughput: 42.09 tok/s

Latency: 0.43ms

Gemini Diffusion

+13.0%

Avg Score:54.9%

Providers:0

Gemma 3n E4B Instructed

Avg Score:41.9%

Providers:1