Model Comparison

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

Alibaba

Qwen2 72B Instruct

Alibaba

Qwen2 72B Instruct is a language model developed by Alibaba. It achieves strong performance with an average score of 73.6% across 17 benchmarks. It excels particularly in GSM8k (91.1%), CMMLU (90.1%), HellaSwag (87.6%). The model shows particular specialization in code tasks with an average performance of 82.3%. Released in 2024, it represents Alibaba's latest advancement in AI technology.

Alibaba

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.

Alibaba

Qwen2 72B Instruct

Alibaba

2024-07-23

Alibaba

Qwen2-VL-72B-Instruct

Alibaba

2024-08-29

1 month newer

Performance comparison across key benchmark categories

Alibaba

Qwen2 72B Instruct

general
67.9%
math
+4.9%
75.4%
Alibaba

Qwen2-VL-72B-Instruct

general
+14.3%
82.2%
math
70.5%
Knowledge Cutoff
Training data recency comparison

Qwen2-VL-72B-Instruct

2023-06-30

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Alibaba

Qwen2 72B Instruct

0 providers
Alibaba

Qwen2-VL-72B-Instruct

0 providers
Alibaba

Qwen2 72B Instruct

Avg Score:0.0%
Providers:0
Alibaba

Qwen2-VL-72B-Instruct

Avg Score:0.0%
Providers:0