Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance

Gemini 1.0 Pro
Gemini 1.0 Pro is a language model developed by Google. The model shows competitive results across 9 benchmarks. Notable strengths include BIG-Bench (75.0%), MMLU (71.8%), WMT23 (71.7%). The model is available through 1 API provider. Released in 2024, it represents Google's latest advancement in AI technology.

Phi-3.5-vision-instruct
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%). The model shows particular specialization in general tasks with an average performance of 75.9%. 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.

Gemini 1.0 Pro
2024-02-15

Phi-3.5-vision-instruct
Microsoft
2024-08-23
6 months newer
Performance Metrics
Context window and performance specifications

Gemini 1.0 Pro

Phi-3.5-vision-instruct
Average performance across 2 common benchmarks

Gemini 1.0 Pro

Phi-3.5-vision-instruct
Performance comparison across key benchmark categories

Gemini 1.0 Pro

Phi-3.5-vision-instruct
Gemini 1.0 Pro
2024-02-01
Provider Availability & Performance
Available providers and their performance metrics

Gemini 1.0 Pro

Phi-3.5-vision-instruct

Gemini 1.0 Pro

Phi-3.5-vision-instruct