Model Comparison

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

Anthropic

Claude Opus 4.1

Anthropic

Claude Opus 4.1 is a multimodal language model developed by Anthropic. The model shows competitive results across 8 benchmarks. It excels particularly in MMMLU (98.4%), AIME 2025 (80.2%), MMMU (validation) (64.8%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Anthropic'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-VL-72B-Instruct

Alibaba

2024-08-29

Anthropic

Claude Opus 4.1

Anthropic

2025-08-05

11 months newer

Performance comparison across key benchmark categories

Anthropic

Claude Opus 4.1

general
44.6%
vision
64.8%
Alibaba

Qwen2-VL-72B-Instruct

general
+37.6%
82.2%
vision
+3.2%
68.0%
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

Anthropic

Claude Opus 4.1

0 providers
Alibaba

Qwen2-VL-72B-Instruct

0 providers
Anthropic

Claude Opus 4.1

Avg Score:0.0%
Providers:0
Alibaba

Qwen2-VL-72B-Instruct

Avg Score:0.0%
Providers:0