Model Comparison

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

Google

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.

OpenAI

o4-mini

OpenAI

o4-mini is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 66.5% across 14 benchmarks. It excels particularly in AIME 2024 (93.4%), AIME 2025 (92.7%), MathVista (84.3%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents OpenAI's latest advancement in AI technology.

Google

Gemini 2.0 Flash Thinking

Google

2025-01-21

OpenAI

o4-mini

OpenAI

2025-04-16

2 months newer

Average performance across 3 common benchmarks

Google

Gemini 2.0 Flash Thinking

Average Score:74.3%
OpenAI

o4-mini

+11.2%
Average Score:85.5%

Performance comparison across key benchmark categories

Google

Gemini 2.0 Flash Thinking

vision
75.4%
general
+9.4%
73.8%
OpenAI

o4-mini

vision
+6.2%
81.6%
general
64.4%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

o4-mini

2024-05-31

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

Google

Gemini 2.0 Flash Thinking

0 providers
OpenAI

o4-mini

0 providers
Google

Gemini 2.0 Flash Thinking

Avg Score:74.3%
Providers:0
OpenAI

o4-mini

+11.2%
Avg Score:85.5%
Providers:0