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-Coder 32B Instruct
Alibaba
Qwen2.5-Coder 32B Instruct is a language model developed by Alibaba. It achieves strong performance with an average score of 64.9% across 15 benchmarks. It excels particularly in HumanEval (92.7%), GSM8k (91.1%), MBPP (90.2%). The model shows particular specialization in reasoning tasks with an average performance of 78.1%. It supports a 256K 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-Coder 32B 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-Coder 32B Instruct
Performance comparison across key benchmark categories

QvQ-72B-Preview

Qwen2.5-Coder 32B Instruct
Provider Availability & Performance
Available providers and their performance metrics

QvQ-72B-Preview

Qwen2.5-Coder 32B Instruct
Hyperbolic
DeepInfra
Fireworks
Lambda

QvQ-72B-Preview

Qwen2.5-Coder 32B Instruct