Model Comparison
Qwen2.5 32B Instruct vs Qwen2.5 VL 32B Instruct
Qwen2.5 32B Instruct shows notably better performance in the majority of benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
Qwen2.5 32B Instruct outperforms in 4 benchmarks (GPQA, MATH, MMLU, MMLU-Pro), while Qwen2.5 VL 32B Instruct is better at 1 benchmark (HumanEval).
Qwen2.5 32B Instruct shows notably better performance in the majority of benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
Model Size
Parameter count comparison
Qwen2.5 VL 32B Instruct has 1.0B more parameters than Qwen2.5 32B Instruct, making it 3.1% larger.
Input Capabilities
Supported data types and modalities
Qwen2.5 VL 32B Instruct supports multimodal inputs, whereas Qwen2.5 32B Instruct does not.
Qwen2.5 VL 32B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.
Qwen2.5 32B Instruct
Qwen2.5 VL 32B 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 Qwen2.5 VL 32B Instruct was released on 2025-02-28.
Qwen2.5 VL 32B Instruct is 5 months newer than Qwen2.5 32B Instruct.
Sep 19, 2024
1.6 years ago
Feb 28, 2025
1.1 years 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 32B Instruct
View detailsAlibaba Cloud / Qwen Team
Qwen2.5 VL 32B Instruct
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about Qwen2.5 32B Instruct vs Qwen2.5 VL 32B Instruct