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

Gemini 2.5 Pro Preview 06-05
Gemini 2.5 Pro Preview 06-05 is a multimodal language model developed by Google. It achieves strong performance with an average score of 68.8% across 13 benchmarks. It excels particularly in Global-MMLU-Lite (89.2%), AIME 2025 (88.0%), FACTS Grounding (87.8%). 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.

o4-mini
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%). 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.

o4-mini
OpenAI
2025-04-16

Gemini 2.5 Pro Preview 06-05
2025-06-05
1 month newer
Performance Metrics
Context window and performance specifications

Gemini 2.5 Pro Preview 06-05

o4-mini
Average performance across 6 common benchmarks

Gemini 2.5 Pro Preview 06-05

o4-mini
Performance comparison across key benchmark categories

Gemini 2.5 Pro Preview 06-05

o4-mini
o4-mini
2024-05-31
Gemini 2.5 Pro Preview 06-05
2025-01-31
Provider Availability & Performance
Available providers and their performance metrics

Gemini 2.5 Pro Preview 06-05

o4-mini

Gemini 2.5 Pro Preview 06-05

o4-mini