Model Comparison

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

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

Qwen3-235B-A22B-Instruct-2507

Alibaba

Qwen3-235B-A22B-Instruct-2507 is a language model developed by Alibaba. It achieves strong performance with an average score of 72.1% across 25 benchmarks. It excels particularly in ZebraLogic (95.0%), MMLU-Redux (93.1%), IFEval (88.7%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba's latest advancement in AI technology.

Alibaba

Qwen2-VL-72B-Instruct

Alibaba

2024-08-29

Alibaba

Qwen3-235B-A22B-Instruct-2507

Alibaba

2025-07-22

10 months newer

Performance comparison across key benchmark categories

Alibaba

Qwen2-VL-72B-Instruct

general
+8.5%
82.2%
math
+20.3%
70.5%
Alibaba

Qwen3-235B-A22B-Instruct-2507

general
73.7%
math
50.2%
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-VL-72B-Instruct

0 providers
Alibaba

Qwen3-235B-A22B-Instruct-2507

0 providers
Alibaba

Qwen2-VL-72B-Instruct

Avg Score:0.0%
Providers:0
Alibaba

Qwen3-235B-A22B-Instruct-2507

Avg Score:0.0%
Providers:0