Model Comparison
Llama 3.2 90B Instruct vs Qwen3 VL 32B Thinking
Qwen3 VL 32B Thinking shows notably better performance in the majority of benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
Llama 3.2 90B Instruct outperforms in 1 benchmarks (AI2D), while Qwen3 VL 32B Thinking is better at 3 benchmarks (GPQA, MMLU, MMMU-Pro).
Qwen3 VL 32B Thinking shows notably better performance in the majority of benchmarks.
Arena Performance
Human preference votes
Model Size
Parameter count comparison
Llama 3.2 90B Instruct has 57.0B more parameters than Qwen3 VL 32B Thinking, making it 172.7% larger.
Context Window
Maximum input and output token capacity
Only Llama 3.2 90B Instruct specifies input context (128,000 tokens). Only Llama 3.2 90B Instruct specifies output context (128,000 tokens).
Input Capabilities
Supported data types and modalities
Both Llama 3.2 90B Instruct and Qwen3 VL 32B Thinking support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Llama 3.2 90B Instruct
Qwen3 VL 32B Thinking
License
Usage and distribution terms
Llama 3.2 90B Instruct is licensed under Llama 3.2, while Qwen3 VL 32B Thinking uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Llama 3.2
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
Llama 3.2 90B Instruct was released on 2024-09-25, while Qwen3 VL 32B Thinking was released on 2025-09-22.
Qwen3 VL 32B Thinking is 12 months newer than Llama 3.2 90B Instruct.
Sep 25, 2024
1.7 years ago
Sep 22, 2025
8 months ago
12mo 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 VL 32B Thinking
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about Llama 3.2 90B Instruct vs Qwen3 VL 32B Thinking.