Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
Qwen2.5-Omni-7B
Alibaba Cloud / Qwen Team
Qwen2.5-Omni-7B is a multimodal language model developed by Alibaba Cloud / Qwen Team. The model shows competitive results across 45 benchmarks. It excels particularly in DocVQA (95.2%), VocalSound (93.9%), GSM8k (88.7%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. 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.
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.
Qwen3-Next-80B-A3B-Thinking
Alibaba Cloud / Qwen Team
2025-01-10
Qwen2.5-Omni-7B
Alibaba Cloud / Qwen Team
2025-03-27
2 months newer
Performance Metrics
Context window and performance specifications
Qwen2.5-Omni-7B
Qwen3-Next-80B-A3B-Thinking
Average performance across 3 common benchmarks
Qwen2.5-Omni-7B
Qwen3-Next-80B-A3B-Thinking
Performance comparison across key benchmark categories
Qwen2.5-Omni-7B
Qwen3-Next-80B-A3B-Thinking
Provider Availability & Performance
Available providers and their performance metrics
Qwen2.5-Omni-7B
Qwen3-Next-80B-A3B-Thinking
Novita
Qwen2.5-Omni-7B
Qwen3-Next-80B-A3B-Thinking