Model Comparison
Qwen2.5-Omni-7B vs Qwen3-Next-80B-A3B-Thinking
Qwen3-Next-80B-A3B-Thinking significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
Qwen2.5-Omni-7B outperforms in 0 benchmarks, while Qwen3-Next-80B-A3B-Thinking is better at 3 benchmarks (GPQA, MMLU-Pro, MMLU-Redux).
Qwen3-Next-80B-A3B-Thinking significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Model Size
Parameter count comparison
Qwen3-Next-80B-A3B-Thinking has 73.0B more parameters than Qwen2.5-Omni-7B, making it 1042.9% larger.
Context Window
Maximum input and output token capacity
Only Qwen3-Next-80B-A3B-Thinking specifies input context (65,536 tokens). Only Qwen3-Next-80B-A3B-Thinking specifies output context (65,536 tokens).
Input Capabilities
Supported data types and modalities
Qwen2.5-Omni-7B supports multimodal inputs, whereas Qwen3-Next-80B-A3B-Thinking does not.
Qwen2.5-Omni-7B can handle both text and other forms of data like images, making it suitable for multimodal applications.
Qwen2.5-Omni-7B
Qwen3-Next-80B-A3B-Thinking
License
Usage and distribution terms
Both models are licensed under Apache 2.0.
Both models share the same licensing terms, providing consistent usage rights.
Apache 2.0
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
Qwen2.5-Omni-7B was released on 2025-03-27, while Qwen3-Next-80B-A3B-Thinking was released on 2025-09-10.
Qwen3-Next-80B-A3B-Thinking is 6 months newer than Qwen2.5-Omni-7B.
Mar 27, 2025
1.1 years ago
Sep 10, 2025
8 months ago
5mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Key Takeaways
Qwen2.5-Omni-7B
View detailsAlibaba Cloud / Qwen Team
Qwen3-Next-80B-A3B-Thinking
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about Qwen2.5-Omni-7B vs Qwen3-Next-80B-A3B-Thinking.