Model Comparison
Qwen3 32B vs Qwen3 VL 32B Thinking
Qwen3 VL 32B Thinking significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
Qwen3 32B outperforms in 0 benchmarks, while Qwen3 VL 32B Thinking is better at 1 benchmark (AIME 2025).
Qwen3 VL 32B Thinking 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 VL 32B Thinking has 0.2B more parameters than Qwen3 32B, making it 0.6% 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
Qwen3 VL 32B Thinking supports multimodal inputs, whereas Qwen3 32B does not.
Qwen3 VL 32B Thinking can handle both text and other forms of data like images, making it suitable for multimodal applications.
Qwen3 32B
Qwen3 VL 32B 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
Qwen3 32B was released on 2025-04-29, while Qwen3 VL 32B Thinking was released on 2025-09-22.
Qwen3 VL 32B Thinking is 5 months newer than Qwen3 32B.
Apr 29, 2025
11 months ago
Sep 22, 2025
6 months ago
4mo 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
Qwen3 32B
View detailsAlibaba Cloud / Qwen Team
Qwen3 VL 32B Thinking
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about Qwen3 32B vs Qwen3 VL 32B Thinking