Model Comparison
Grok-1.5V vs Qwen3 VL 30B A3B Instruct
Both models are evenly matched across the benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
Grok-1.5V outperforms in 1 benchmarks (AI2D), while Qwen3 VL 30B A3B Instruct is better at 1 benchmark (RealWorldQA).
Both models are evenly matched across the 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
Both Grok-1.5V and Qwen3 VL 30B A3B Instruct support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Grok-1.5V
Qwen3 VL 30B A3B Instruct
License
Usage and distribution terms
Grok-1.5V 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
Grok-1.5V was released on 2024-04-12, while Qwen3 VL 30B A3B Instruct was released on 2025-09-22.
Qwen3 VL 30B A3B Instruct is 18 months newer than Grok-1.5V.
Apr 12, 2024
2.1 years ago
Sep 22, 2025
8 months ago
1.4yr 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 30B A3B Instruct
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about Grok-1.5V vs Qwen3 VL 30B A3B Instruct.