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

o1-pro

OpenAI

o1-pro is a multimodal language model developed by OpenAI. This model demonstrates exceptional performance with an average score of 82.5% across 2 benchmarks. It excels particularly in AIME 2024 (86.0%), GPQA (79.0%). The model shows particular specialization in general tasks with an average performance of 82.5%. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents OpenAI's latest advancement in AI technology.

OpenAI

o1-pro

OpenAI

2024-12-17

Google

Gemini 2.0 Flash Thinking

Google

2025-01-21

1 month newer

Average performance across 2 common benchmarks

Google

Gemini 2.0 Flash Thinking

Average Score:73.8%
OpenAI

o1-pro

+8.8%
Average Score:82.5%

Performance comparison across key benchmark categories

Google

Gemini 2.0 Flash Thinking

general
73.8%
OpenAI

o1-pro

general
+8.8%
82.5%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

o1-pro

2023-09-30

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

o1-pro

0 providers
Google

Gemini 2.0 Flash Thinking

Avg Score:73.8%
Providers:0
OpenAI

o1-pro

+8.8%
Avg Score:82.5%
Providers:0