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

Gemini 1.5 Pro
Gemini 1.5 Pro is a multimodal language model developed by Google. It achieves strong performance with an average score of 72.6% across 23 benchmarks. It excels particularly in XSTest (98.8%), HellaSwag (93.3%), GSM8k (90.8%). With a 2.1M token context window, it can handle extensive documents and complex multi-turn conversations. 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 2024, it represents Google's latest advancement in AI technology.

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.

Gemini 1.5 Pro
2024-05-01

o1-pro
OpenAI
2024-12-17
7 months newer
Performance Metrics
Context window and performance specifications

Gemini 1.5 Pro

o1-pro
Average performance across 1 common benchmarks

Gemini 1.5 Pro

o1-pro
Performance comparison across key benchmark categories

Gemini 1.5 Pro

o1-pro
o1-pro
2023-09-30
Gemini 1.5 Pro
2023-11-01
Provider Availability & Performance
Available providers and their performance metrics

Gemini 1.5 Pro

o1-pro

Gemini 1.5 Pro

o1-pro