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

Gemini 1.5 Pro
Gemini 1.5 Pro is a multimodal language model developed by Google. It achieves strong performance with an average score of 72.6% across 23 benchmarks. It excels particularly in XSTest (98.8%), HellaSwag (93.3%), GSM8k (90.8%). With a 2.1M 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 2024, it represents Google's latest advancement in AI technology.

Phi-3.5-mini-instruct
Microsoft
Phi-3.5-mini-instruct is a language model developed by Microsoft. The model shows competitive results across 31 benchmarks. It excels particularly in GSM8k (86.2%), ARC-C (84.6%), RULER (84.1%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. 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 1.5 Pro
2024-05-01

Phi-3.5-mini-instruct
Microsoft
2024-08-23
3 months newer
Pricing Comparison
Cost per million tokens (USD)

Gemini 1.5 Pro

Phi-3.5-mini-instruct
Performance Metrics
Context window and performance specifications

Gemini 1.5 Pro

Phi-3.5-mini-instruct
Average performance across 9 common benchmarks

Gemini 1.5 Pro

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

Gemini 1.5 Pro

Phi-3.5-mini-instruct
Gemini 1.5 Pro
2023-11-01
Provider Availability & Performance
Available providers and their performance metrics

Gemini 1.5 Pro

Phi-3.5-mini-instruct
Azure

Gemini 1.5 Pro

Phi-3.5-mini-instruct