Comprehensive side-by-side LLM comparison
Phi-3.5-vision-instruct leads with 4.0% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
Gemini 2.5 Flash-Lite is a multimodal language model developed by Google. The model shows competitive results across 13 benchmarks. It excels particularly in FACTS Grounding (84.1%), Global-MMLU-Lite (81.1%), MMMU (72.9%). 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 Flash-Lite
2025-06-17
Context window and performance specifications
Average performance across 21 common benchmarks
Gemini 2.5 Flash-Lite
Phi-3.5-vision-instruct
Gemini 2.5 Flash-Lite
2025-01-01
Available providers and their performance metrics
Gemini 2.5 Flash-Lite
Phi-3.5-vision-instruct
Gemini 2.5 Flash-Lite
Phi-3.5-vision-instruct
Gemini 2.5 Flash-Lite
Phi-3.5-vision-instruct