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-4
OpenAI
GPT-4 is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 77.7% across 12 benchmarks. It excels particularly in AI2 Reasoning Challenge (ARC) (96.3%), HellaSwag (95.3%), Uniform Bar Exam (90.0%). The model shows particular specialization in reasoning tasks with an average performance of 93.0%. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly.

GPT-4
OpenAI
2023-06-13

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

Gemini 2.5 Pro

GPT-4
Performance Metrics
Context window and performance specifications

Gemini 2.5 Pro

GPT-4
Average performance across 1 common benchmarks

Gemini 2.5 Pro

GPT-4
Performance comparison across key benchmark categories

Gemini 2.5 Pro

GPT-4
GPT-4
2022-12-31
Gemini 2.5 Pro
2025-01-31
Provider Availability & Performance
Available providers and their performance metrics

Gemini 2.5 Pro

GPT-4
Azure
OpenAI

Gemini 2.5 Pro

GPT-4