Comprehensive side-by-side LLM comparison
o4-mini leads with 2.6% higher average benchmark score. Gemini 2.0 Flash offers 756.8K more tokens in context window than o4-mini. Gemini 2.0 Flash is $5.00 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
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
o4-mini is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 66.5% across 14 benchmarks. It excels particularly in AIME 2024 (93.4%), AIME 2025 (92.7%), MathVista (84.3%). It supports a 300K token context window for handling large documents. 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 OpenAI's latest advancement in AI technology.
4 months newer
Gemini 2.0 Flash
2024-12-01
o4-mini
OpenAI
2025-04-16
Cost per million tokens (USD)
Gemini 2.0 Flash
o4-mini
Context window and performance specifications
Average performance across 25 common benchmarks
Gemini 2.0 Flash
o4-mini
o4-mini
2024-05-31
Gemini 2.0 Flash
2024-08-01
Available providers and their performance metrics
Gemini 2.0 Flash
o4-mini
Gemini 2.0 Flash
o4-mini
Gemini 2.0 Flash
o4-mini
OpenAI