Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance

Gemini 2.0 Flash
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.

GPT-5
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.

Gemini 2.0 Flash
2024-12-01

GPT-5
OpenAI
2025-08-07
8 months newer
Pricing Comparison
Cost per million tokens (USD)

Gemini 2.0 Flash

GPT-5
Performance Metrics
Context window and performance specifications

Gemini 2.0 Flash

GPT-5
Average performance across 3 common benchmarks

Gemini 2.0 Flash

GPT-5
Performance comparison across key benchmark categories

Gemini 2.0 Flash

GPT-5
Gemini 2.0 Flash
2024-08-01
GPT-5
2024-09-30
Provider Availability & Performance
Available providers and their performance metrics

Gemini 2.0 Flash

GPT-5
OpenAI
ZeroEval

Gemini 2.0 Flash

GPT-5