Model Comparison
Qwen2.5-Omni-7B vs Qwen3 32B
Qwen3 32B significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
Qwen2.5-Omni-7B outperforms in 0 benchmarks, while Qwen3 32B is better at 1 benchmark (LiveBench).
Qwen3 32B significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
Model Size
Parameter count comparison
Qwen3 32B has 25.8B more parameters than Qwen2.5-Omni-7B, making it 368.6% larger.
Context Window
Maximum input and output token capacity
Only Qwen3 32B specifies input context (128,000 tokens). Only Qwen3 32B specifies output context (128,000 tokens).
Input Capabilities
Supported data types and modalities
Qwen2.5-Omni-7B supports multimodal inputs, whereas Qwen3 32B 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 32B
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 32B was released on 2025-04-29.
Qwen3 32B is 1 month newer than Qwen2.5-Omni-7B.
Mar 27, 2025
1.1 years ago
Apr 29, 2025
11 months ago
1mo 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 32B
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
| Feature | | |
|---|
FAQ
Common questions about Qwen2.5-Omni-7B vs Qwen3 32B