Comprehensive side-by-side LLM comparison
Gemini 2.5 Pro Preview 06-05 leads with 13.3% higher average benchmark score. 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-3.5-vision-instruct is a multimodal language model developed by Microsoft. It achieves strong performance with an average score of 68.3% across 9 benchmarks. It excels particularly in ScienceQA (91.3%), POPE (86.1%), MMBench (81.9%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft's latest advancement in AI technology.
9 months newer
Phi-3.5-vision-instruct
Microsoft
2024-08-23
Gemini 2.5 Pro Preview 06-05
2025-06-05
Context window and performance specifications
Average performance across 21 common benchmarks
Gemini 2.5 Pro Preview 06-05
Phi-3.5-vision-instruct
Gemini 2.5 Pro Preview 06-05
2025-01-31
Available providers and their performance metrics
Gemini 2.5 Pro Preview 06-05
Phi-3.5-vision-instruct
Gemini 2.5 Pro Preview 06-05
Phi-3.5-vision-instruct
Gemini 2.5 Pro Preview 06-05
Phi-3.5-vision-instruct