Comprehensive side-by-side LLM comparison
Gemini 2.5 Flash leads with 39.0% higher average benchmark score. Gemini 2.5 Flash offers 586.1K more tokens in context window than GPT-5 nano. GPT-5 nano is $2.35 cheaper per million tokens. Overall, Gemini 2.5 Flash is the stronger choice for coding tasks.
Gemini 2.5 Flash is a multimodal language model developed by Google. It achieves strong performance with an average score of 62.5% across 14 benchmarks. It excels particularly in Global-MMLU-Lite (88.4%), AIME 2024 (88.0%), FACTS Grounding (85.3%). 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 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 Flash
2025-05-20
GPT-5 nano
OpenAI
2025-08-07
Cost per million tokens (USD)
Gemini 2.5 Flash
GPT-5 nano
Context window and performance specifications
Average performance across 16 common benchmarks
Gemini 2.5 Flash
GPT-5 nano
GPT-5 nano
2024-05-30
Gemini 2.5 Flash
2025-01-31
Available providers and their performance metrics
Gemini 2.5 Flash
ZeroEval
Gemini 2.5 Flash
GPT-5 nano
Gemini 2.5 Flash
GPT-5 nano
GPT-5 nano
OpenAI
ZeroEval