Model Comparison

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

Gemini 2.0 Flash Thinking

Google

Gemini 2.0 Flash Thinking is a multimodal language model developed by Google. It achieves strong performance with an average score of 74.3% across 3 benchmarks. Notable strengths include MMMU (75.4%), GPQA (74.2%), AIME 2024 (73.3%). 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

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.

Gemini 2.0 Flash Thinking

Google

2025-01-21

Gemini Diffusion

Google

2025-05-20

3 months newer

Average performance across 1 common benchmarks

Gemini 2.0 Flash Thinking

+33.8%

Average Score:74.2%

Gemini Diffusion

Average Score:40.4%

Performance comparison across key benchmark categories

Gemini 2.0 Flash Thinking

general

+35.8%

73.8%

Gemini Diffusion

general

37.9%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Knowledge Cutoff

Training data recency comparison

Gemini 2.0 Flash Thinking

2024-08-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Gemini 2.0 Flash Thinking

0 providers

Gemini Diffusion

0 providers

Gemini 2.0 Flash Thinking

+33.8%

Avg Score:74.2%

Providers:0

Gemini Diffusion

Avg Score:40.4%

Providers:0