Comprehensive side-by-side LLM comparison
Gemini 2.5 Pro Preview 06-05 leads with 43.0% higher average benchmark score. Gemini 2.5 Pro Preview 06-05 offers 586.1K more tokens in context window than GPT-5 nano. GPT-5 nano is $10.80 cheaper per million tokens. Overall, Gemini 2.5 Pro Preview 06-05 is the stronger choice for coding tasks.
Gemini 2.5 Pro Preview 06-05 is a multimodal language model developed by Google. It achieves strong performance with an average score of 68.8% across 13 benchmarks. It excels particularly in Global-MMLU-Lite (89.2%), AIME 2025 (88.0%), FACTS Grounding (87.8%). 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.
OpenAI
GPT-5 nano is a multimodal language model developed by OpenAI. The model shows competitive results across 5 benchmarks. It excels particularly in AIME 2025 (85.2%), HMMT 2025 (75.6%), GPQA (71.2%). 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 Preview 06-05
2025-06-05
GPT-5 nano
OpenAI
2025-08-07
Cost per million tokens (USD)
Gemini 2.5 Pro Preview 06-05
GPT-5 nano
Context window and performance specifications
Average performance across 15 common benchmarks
Gemini 2.5 Pro Preview 06-05
GPT-5 nano
GPT-5 nano
2024-05-30
Gemini 2.5 Pro Preview 06-05
2025-01-31
Available providers and their performance metrics
Gemini 2.5 Pro Preview 06-05
GPT-5 nano
Gemini 2.5 Pro Preview 06-05
GPT-5 nano
Gemini 2.5 Pro Preview 06-05
GPT-5 nano
OpenAI
ZeroEval