Model Comparison
Qwen2.5 32B Instruct vs Qwen3 VL 8B Instruct
Qwen3 VL 8B Instruct shows notably better performance in the majority of benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
Qwen2.5 32B Instruct outperforms in 1 benchmarks (MMLU), while Qwen3 VL 8B Instruct is better at 2 benchmarks (MMLU-Pro, MMLU-Redux).
Qwen3 VL 8B Instruct shows notably better performance in the majority of benchmarks.
Arena Performance
Human preference votes
Model Size
Parameter count comparison
Qwen2.5 32B Instruct has 23.5B more parameters than Qwen3 VL 8B Instruct, making it 261.1% larger.
Context Window
Maximum input and output token capacity
Only Qwen3 VL 8B Instruct specifies input context (131,072 tokens). Only Qwen3 VL 8B Instruct specifies output context (32,768 tokens).
Input Capabilities
Supported data types and modalities
Qwen3 VL 8B Instruct supports multimodal inputs, whereas Qwen2.5 32B Instruct does not.
Qwen3 VL 8B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.
Qwen2.5 32B Instruct
Qwen3 VL 8B Instruct
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 32B Instruct was released on 2024-09-19, while Qwen3 VL 8B Instruct was released on 2025-09-22.
Qwen3 VL 8B Instruct is 12 months newer than Qwen2.5 32B Instruct.
Sep 19, 2024
1.6 years ago
Sep 22, 2025
7 months ago
1.0yr 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 32B Instruct
View detailsAlibaba Cloud / Qwen Team
Qwen3 VL 8B Instruct
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about Qwen2.5 32B Instruct vs Qwen3 VL 8B Instruct.