Comprehensive side-by-side LLM comparison
Gemini 2.0 Flash leads with 36.3% higher average benchmark score. Gemini 2.0 Flash offers 528.8K more tokens in context window than GPT-5 nano. Both models have similar pricing. Overall, Gemini 2.0 Flash is the stronger choice for coding tasks.
Gemini 2.0 Flash is a multimodal language model developed by Google. It achieves strong performance with an average score of 66.7% across 13 benchmarks. It excels particularly in Natural2Code (92.9%), MATH (89.7%), FACTS Grounding (83.6%). 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 2024, 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.
8 months newer
Gemini 2.0 Flash
2024-12-01
GPT-5 nano
OpenAI
2025-08-07
Cost per million tokens (USD)
Gemini 2.0 Flash
GPT-5 nano
Context window and performance specifications
Average performance across 17 common benchmarks
Gemini 2.0 Flash
GPT-5 nano
GPT-5 nano
2024-05-30
Gemini 2.0 Flash
2024-08-01
Available providers and their performance metrics
Gemini 2.0 Flash
GPT-5 nano
Gemini 2.0 Flash
GPT-5 nano
Gemini 2.0 Flash
GPT-5 nano
OpenAI
ZeroEval