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.

Qwen2.5 32B Instruct
Alibaba
Qwen2.5 32B Instruct is a language model developed by Alibaba. It achieves strong performance with an average score of 74.3% across 18 benchmarks. It excels particularly in GSM8k (95.9%), HumanEval (88.4%), HellaSwag (85.2%). The model shows particular specialization in math tasks with an average performance of 89.5%. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba's latest advancement in AI technology.

Gemini 1.5 Pro
2024-05-01

Qwen2.5 32B Instruct
Alibaba
2024-09-19
4 months newer
Performance Metrics
Context window and performance specifications

Gemini 1.5 Pro

Qwen2.5 32B Instruct
Average performance across 7 common benchmarks

Gemini 1.5 Pro

Qwen2.5 32B Instruct
Performance comparison across key benchmark categories

Gemini 1.5 Pro

Qwen2.5 32B Instruct
Gemini 1.5 Pro
2023-11-01
Provider Availability & Performance
Available providers and their performance metrics

Gemini 1.5 Pro

Qwen2.5 32B Instruct

Gemini 1.5 Pro

Qwen2.5 32B Instruct