Comprehensive side-by-side LLM comparison
GPT-5 leads with 29.8% higher average benchmark score. Gemini 2.5 Pro offers 586.1K more tokens in context window than GPT-5. Both models have similar pricing. Overall, GPT-5 is the stronger choice for coding tasks.
Gemini 2.5 Pro is a multimodal language model developed by Google. It achieves strong performance with an average score of 69.6% across 16 benchmarks. It excels particularly in MRCR (93.0%), AIME 2024 (92.0%), Global-MMLU-Lite (88.6%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 2 API providers. 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
GPT-5 is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 70.1% across 35 benchmarks. It excels particularly in SWE-Lancer (IC-Diamond subset) (100.0%), COLLIE (99.0%), Tau2 Telecom (96.7%). It supports a 528K token context window for handling large documents. The model is available through 2 API providers. 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.
2 months newer
Gemini 2.5 Pro
2025-05-20
GPT-5
OpenAI
2025-08-07
Cost per million tokens (USD)
Gemini 2.5 Pro
GPT-5
Context window and performance specifications
Average performance across 45 common benchmarks
Gemini 2.5 Pro
GPT-5
GPT-5
2024-09-30
Gemini 2.5 Pro
2025-01-31
Available providers and their performance metrics
Gemini 2.5 Pro
ZeroEval
Gemini 2.5 Pro
GPT-5
Gemini 2.5 Pro
GPT-5
GPT-5
OpenAI
ZeroEval