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

Gemini 2.5 Flash
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.

o1-mini
OpenAI
o1-mini is a language model developed by OpenAI. It achieves strong performance with an average score of 71.9% across 6 benchmarks. It excels particularly in HumanEval (92.4%), MATH-500 (90.0%), MMLU (85.2%). It supports a 194K 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.

o1-mini
OpenAI
2024-09-12

Gemini 2.5 Flash
2025-05-20
8 months newer
Pricing Comparison
Cost per million tokens (USD)

Gemini 2.5 Flash

o1-mini
Performance Metrics
Context window and performance specifications

Gemini 2.5 Flash

o1-mini
Average performance across 1 common benchmarks

Gemini 2.5 Flash

o1-mini
Performance comparison across key benchmark categories

Gemini 2.5 Flash

o1-mini
Gemini 2.5 Flash
2025-01-31
Provider Availability & Performance
Available providers and their performance metrics

Gemini 2.5 Flash
ZeroEval

o1-mini
Azure
OpenAI

Gemini 2.5 Flash

o1-mini