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

Gemini 2.0 Flash Thinking
Gemini 2.0 Flash Thinking is a multimodal language model developed by Google. It achieves strong performance with an average score of 74.3% across 3 benchmarks. Notable strengths include MMMU (75.4%), GPQA (74.2%), AIME 2024 (73.3%). 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.

Phi 4 Mini Reasoning
Microsoft
Phi 4 Mini Reasoning is a language model developed by Microsoft. It achieves strong performance with an average score of 68.0% across 3 benchmarks. It excels particularly in MATH-500 (94.6%), AIME (57.5%), GPQA (52.0%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft's latest advancement in AI technology.

Gemini 2.0 Flash Thinking
2025-01-21

Phi 4 Mini Reasoning
Microsoft
2025-04-30
3 months newer
Average performance across 1 common benchmarks

Gemini 2.0 Flash Thinking

Phi 4 Mini Reasoning
Performance comparison across key benchmark categories

Gemini 2.0 Flash Thinking

Phi 4 Mini Reasoning
Gemini 2.0 Flash Thinking
2024-08-01
Phi 4 Mini Reasoning
2025-02-01
Provider Availability & Performance
Available providers and their performance metrics

Gemini 2.0 Flash Thinking

Phi 4 Mini Reasoning

Gemini 2.0 Flash Thinking

Phi 4 Mini Reasoning