Comprehensive side-by-side LLM comparison
Phi 4 Mini leads with 7.5% higher average benchmark score. Gemini 2.5 Pro Preview 06-05 supports multimodal inputs. Overall, Phi 4 Mini 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 is a language model developed by Microsoft. It achieves strong performance with an average score of 65.4% across 17 benchmarks. It excels particularly in GSM8k (88.6%), ARC-C (83.7%), BoolQ (81.2%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft's latest advancement in AI technology.
4 months newer
Phi 4 Mini
Microsoft
2025-02-01
Gemini 2.5 Pro Preview 06-05
2025-06-05
Context window and performance specifications
Average performance across 29 common benchmarks
Gemini 2.5 Pro Preview 06-05
Phi 4 Mini
Phi 4 Mini
2024-06-01
Gemini 2.5 Pro Preview 06-05
2025-01-31
Available providers and their performance metrics
Gemini 2.5 Pro Preview 06-05
Phi 4 Mini
Gemini 2.5 Pro Preview 06-05
Phi 4 Mini
Gemini 2.5 Pro Preview 06-05
Phi 4 Mini