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

Qwen2-VL-72B-Instruct
Alibaba Cloud / Qwen Team
Qwen2-VL-72B-Instruct is a multimodal language model developed by Alibaba Cloud / Qwen Team. 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 Cloud / Qwen Team's latest advancement in AI technology.

Qwen3-Next-80B-A3B-Thinking
Alibaba Cloud / Qwen Team
Qwen3-Next-80B-A3B-Thinking is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 67.9% across 23 benchmarks. It excels particularly in MMLU-Redux (92.5%), IFEval (88.9%), AIME25 (87.8%). It supports a 131K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.

Qwen2-VL-72B-Instruct
Alibaba Cloud / Qwen Team
2024-08-29

Qwen3-Next-80B-A3B-Thinking
Alibaba Cloud / Qwen Team
2025-01-10
4 months newer
Performance Metrics
Context window and performance specifications

Qwen2-VL-72B-Instruct

Qwen3-Next-80B-A3B-Thinking
Performance comparison across key benchmark categories

Qwen2-VL-72B-Instruct

Qwen3-Next-80B-A3B-Thinking
Qwen2-VL-72B-Instruct
2023-06-30
Provider Availability & Performance
Available providers and their performance metrics

Qwen2-VL-72B-Instruct

Qwen3-Next-80B-A3B-Thinking
Novita

Qwen2-VL-72B-Instruct

Qwen3-Next-80B-A3B-Thinking