Model Comparison
Grok-1.5V vs Qwen2.5-Omni-7B
Qwen2.5-Omni-7B significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
Grok-1.5V outperforms in 1 benchmarks (AI2D), while Qwen2.5-Omni-7B is better at 6 benchmarks (ChartQA, DocVQA, MathVista, MMMU, RealWorldQA, TextVQA).
Qwen2.5-Omni-7B significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
Input Capabilities
Supported data types and modalities
Both Grok-1.5V and Qwen2.5-Omni-7B support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Grok-1.5V
Qwen2.5-Omni-7B
License
Usage and distribution terms
Grok-1.5V is licensed under a proprietary license, while Qwen2.5-Omni-7B 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 Qwen2.5-Omni-7B was released on 2025-03-27.
Qwen2.5-Omni-7B is 12 months newer than Grok-1.5V.
Apr 12, 2024
2.0 years ago
Mar 27, 2025
1.1 years ago
11mo 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-Omni-7B
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about Grok-1.5V vs Qwen2.5-Omni-7B