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

QvQ-72B-Preview
Alibaba
QvQ-72B-Preview is a multimodal language model developed by Alibaba. The model shows competitive results across 4 benchmarks. Notable strengths include MathVista (71.4%), MMMU (70.3%), MathVision (35.9%). 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 Alibaba's latest advancement in AI technology.

Qwen2.5 72B Instruct
Alibaba
Qwen2.5 72B Instruct is a language model developed by Alibaba. It achieves strong performance with an average score of 77.4% across 14 benchmarks. It excels particularly in GSM8k (95.8%), MT-Bench (93.5%), MBPP (88.2%). The model shows particular specialization in math tasks with an average performance of 89.5%. It supports a 139K token context window for handling large documents. The model is available through 4 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba's latest advancement in AI technology.

Qwen2.5 72B Instruct
Alibaba
2024-09-19

QvQ-72B-Preview
Alibaba
2024-12-25
3 months newer
Performance Metrics
Context window and performance specifications

QvQ-72B-Preview

Qwen2.5 72B Instruct
Performance comparison across key benchmark categories

QvQ-72B-Preview

Qwen2.5 72B Instruct
Provider Availability & Performance
Available providers and their performance metrics

QvQ-72B-Preview

Qwen2.5 72B Instruct
Together
Hyperbolic
DeepInfra
Fireworks

QvQ-72B-Preview

Qwen2.5 72B Instruct