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

Qwen2-VL-72B-Instruct
Alibaba
Qwen2-VL-72B-Instruct is a multimodal language model developed by Alibaba. It achieves strong performance with an average score of 75.8% across 15 benchmarks. It excels particularly in DocVQAtest (96.5%), VCR_en_easy (91.9%), ChartQA (88.3%). The model shows particular specialization in general tasks with an average performance of 82.2%. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents Alibaba's latest advancement in AI technology.

QwQ-32B-Preview
Alibaba
QwQ-32B-Preview is a language model developed by Alibaba. It achieves strong performance with an average score of 64.0% across 4 benchmarks. It excels particularly in MATH-500 (90.6%), GPQA (65.2%), AIME 2024 (50.0%). 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-VL-72B-Instruct
Alibaba
2024-08-29

QwQ-32B-Preview
Alibaba
2024-11-28
3 months newer
Performance Metrics
Context window and performance specifications

Qwen2-VL-72B-Instruct

QwQ-32B-Preview
Performance comparison across key benchmark categories

Qwen2-VL-72B-Instruct

QwQ-32B-Preview
Qwen2-VL-72B-Instruct
2023-06-30
QwQ-32B-Preview
2024-11-28
Provider Availability & Performance
Available providers and their performance metrics

Qwen2-VL-72B-Instruct

QwQ-32B-Preview
Together
Hyperbolic
DeepInfra
Fireworks

Qwen2-VL-72B-Instruct

QwQ-32B-Preview