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

Gemini 2.5 Pro
Gemini 2.5 Pro is a multimodal language model developed by Google. It achieves strong performance with an average score of 67.1% across 16 benchmarks. It excels particularly in MRCR (93.0%), AIME 2024 (92.0%), Global-MMLU-Lite (88.6%). The model shows particular specialization in vision tasks with an average performance of 82.2%. With a 1.1M 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 2025, it represents Google's latest advancement in AI technology.

GPT-4o
OpenAI
GPT-4o is a multimodal language model developed by OpenAI. The model shows competitive results across 32 benchmarks. It excels particularly in AI2D (94.2%), DocVQA (92.8%), ChartQA (85.7%). The model shows particular specialization in vision tasks with an average performance of 82.5%. It supports a 144K token context window for handling large documents. The model is available through 3 API providers. 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.

GPT-4o
OpenAI
2024-08-06

Gemini 2.5 Pro
2025-05-20
9 months newer
Pricing Comparison
Cost per million tokens (USD)

Gemini 2.5 Pro

GPT-4o
Performance Metrics
Context window and performance specifications

Gemini 2.5 Pro

GPT-4o
Average performance across 7 common benchmarks

Gemini 2.5 Pro

GPT-4o
Performance comparison across key benchmark categories

Gemini 2.5 Pro

GPT-4o
Gemini 2.5 Pro
2025-01-31
Provider Availability & Performance
Available providers and their performance metrics

Gemini 2.5 Pro

GPT-4o
Azure
ZeroEval
OpenAI

Gemini 2.5 Pro

GPT-4o