Comprehensive side-by-side LLM comparison
Gemini 2.0 Flash-Lite leads with 7.2% higher average benchmark score. Overall, Gemini 2.0 Flash-Lite is the stronger choice for coding tasks.
Gemini 2.0 Flash-Lite is a multimodal language model developed by Google. The model shows competitive results across 13 benchmarks. It excels particularly in MATH (86.8%), FACTS Grounding (83.6%), Global-MMLU-Lite (78.2%). 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.
5 months newer
Phi-3.5-vision-instruct
Microsoft
2024-08-23
Gemini 2.0 Flash-Lite
2025-02-05
Context window and performance specifications
Average performance across 21 common benchmarks
Gemini 2.0 Flash-Lite
Phi-3.5-vision-instruct
Gemini 2.0 Flash-Lite
2024-06-01
Available providers and their performance metrics
Gemini 2.0 Flash-Lite
Phi-3.5-vision-instruct
Gemini 2.0 Flash-Lite
Phi-3.5-vision-instruct
Gemini 2.0 Flash-Lite
Phi-3.5-vision-instruct