Comprehensive side-by-side LLM comparison
Gemini 2.5 Pro Preview 06-05 leads with 46.0% higher average benchmark score. Gemini 2.5 Pro Preview 06-05 supports multimodal inputs. Overall, Gemini 2.5 Pro Preview 06-05 is the stronger choice for coding tasks.
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.
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.
1 month newer
Phi 4 Mini Reasoning
Microsoft
2025-04-30
Gemini 2.5 Pro Preview 06-05
2025-06-05
Context window and performance specifications
Average performance across 15 common benchmarks
Gemini 2.5 Pro Preview 06-05
Phi 4 Mini Reasoning
Gemini 2.5 Pro Preview 06-05
2025-01-31
Phi 4 Mini Reasoning
2025-02-01
Available providers and their performance metrics
Gemini 2.5 Pro Preview 06-05
Phi 4 Mini Reasoning
Gemini 2.5 Pro Preview 06-05
Phi 4 Mini Reasoning
Gemini 2.5 Pro Preview 06-05
Phi 4 Mini Reasoning