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.

Granite 3.3 8B Base

IBM

Granite 3.3 8B Base is a multimodal language model developed by IBM. It achieves strong performance with an average score of 64.3% across 20 benchmarks. It excels particularly in HumanEval (89.7%), AttaQ (88.5%), HumanEval+ (86.1%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents IBM's latest advancement in AI technology.

Granite 3.3 8B Base

IBM

2025-04-16

Gemini Diffusion

Google

2025-05-20

1 month newer

Average performance across 1 common benchmarks

Gemini Diffusion

Average Score:89.6%

Granite 3.3 8B Base

+0.1%

Average Score:89.7%

Performance comparison across key benchmark categories

Gemini Diffusion

code

60.5%

general

37.9%

Granite 3.3 8B Base

code

+12.0%

72.5%

general

+21.8%

59.7%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Knowledge Cutoff

Training data recency comparison

Granite 3.3 8B Base

2024-04-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Gemini Diffusion

0 providers

Granite 3.3 8B Base

0 providers

Gemini Diffusion

Avg Score:89.6%

Providers:0

Granite 3.3 8B Base

+0.1%

Avg Score:89.7%

Providers:0