Model Comparison
Gemini Diffusion vs Qwen3 VL 30B A3B Instruct
Qwen3 VL 30B A3B Instruct significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
Gemini Diffusion outperforms in 0 benchmarks, while Qwen3 VL 30B A3B Instruct is better at 2 benchmarks (AIME 2025, GPQA).
Qwen3 VL 30B A3B Instruct significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Context Window
Maximum input and output token capacity
Only Qwen3 VL 30B A3B Instruct specifies input context (131,072 tokens). Only Qwen3 VL 30B A3B Instruct specifies output context (32,768 tokens).
Input Capabilities
Supported data types and modalities
Qwen3 VL 30B A3B Instruct supports multimodal inputs, whereas Gemini Diffusion does not.
Qwen3 VL 30B A3B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.
Gemini Diffusion
Qwen3 VL 30B A3B Instruct
License
Usage and distribution terms
Gemini Diffusion is licensed under a proprietary license, while Qwen3 VL 30B A3B Instruct uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Apache 2.0
Open weights
Release Timeline
When each model was launched
Gemini Diffusion was released on 2025-05-20, while Qwen3 VL 30B A3B Instruct was released on 2025-09-22.
Qwen3 VL 30B A3B Instruct is 4 months newer than Gemini Diffusion.
May 20, 2025
1.0 years ago
Sep 22, 2025
8 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
No standout differentiators in the data we have for this pair.
Qwen3 VL 30B A3B Instruct
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about Gemini Diffusion vs Qwen3 VL 30B A3B Instruct.