Comprehensive side-by-side LLM comparison
o1 leads with 21.2% higher average benchmark score. Gemini 2.0 Flash-Lite offers 756.8K more tokens in context window than o1. Gemini 2.0 Flash-Lite is $74.63 cheaper per million tokens. Gemini 2.0 Flash-Lite supports multimodal inputs. Overall, o1 is the stronger choice for coding tasks.
Gemini 2.0 Flash-Lite is a multimodal language model developed by Google. The model shows competitive results across 13 benchmarks. It excels particularly in MATH (86.8%), FACTS Grounding (83.6%), Global-MMLU-Lite (78.2%). 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
o1 is a language model developed by OpenAI. It achieves strong performance with an average score of 71.6% across 19 benchmarks. It excels particularly in GSM8k (97.1%), MATH (96.4%), GPQA Physics (92.8%). It supports a 300K token context window for handling large documents. The model is available through 2 API providers. Released in 2024, it represents OpenAI's latest advancement in AI technology.
1 month newer
o1
OpenAI
2024-12-17
Gemini 2.0 Flash-Lite
2025-02-05
Cost per million tokens (USD)
Gemini 2.0 Flash-Lite
o1
Context window and performance specifications
Average performance across 28 common benchmarks
Gemini 2.0 Flash-Lite
o1
Gemini 2.0 Flash-Lite
2024-06-01
Available providers and their performance metrics
Gemini 2.0 Flash-Lite
o1
Gemini 2.0 Flash-Lite
o1
Gemini 2.0 Flash-Lite
o1
Azure
OpenAI