Comprehensive side-by-side LLM comparison
Gemini 2.0 Flash leads with 44.2% higher average benchmark score. Gemini 2.0 Flash supports multimodal inputs. Overall, Gemini 2.0 Flash is the stronger choice for coding tasks.
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.
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.
5 months newer
Gemini 2.0 Flash
2024-12-01
Phi 4 Mini Reasoning
Microsoft
2025-04-30
Context window and performance specifications
Average performance across 15 common benchmarks
Gemini 2.0 Flash
Phi 4 Mini Reasoning
Gemini 2.0 Flash
2024-08-01
Phi 4 Mini Reasoning
2025-02-01
Available providers and their performance metrics
Gemini 2.0 Flash
Phi 4 Mini Reasoning
Gemini 2.0 Flash
Phi 4 Mini Reasoning
Gemini 2.0 Flash
Phi 4 Mini Reasoning