Model Comparison
Grok-1.5 vs Qwen2.5-Omni-7B
Qwen2.5-Omni-7B shows notably better performance in the majority of benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
Grok-1.5 outperforms in 3 benchmarks (GPQA, GSM8k, MMLU-Pro), while Qwen2.5-Omni-7B is better at 5 benchmarks (DocVQA, HumanEval, MATH, MathVista, MMMU).
Qwen2.5-Omni-7B shows notably better performance in the majority of benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
Input Capabilities
Supported data types and modalities
Qwen2.5-Omni-7B supports multimodal inputs, whereas Grok-1.5 does not.
Qwen2.5-Omni-7B can handle both text and other forms of data like images, making it suitable for multimodal applications.
Grok-1.5
Qwen2.5-Omni-7B
License
Usage and distribution terms
Grok-1.5 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-1.5 was released on 2024-03-28, while Qwen2.5-Omni-7B was released on 2025-03-27.
Qwen2.5-Omni-7B is 12 months newer than Grok-1.5.
Mar 28, 2024
2.1 years ago
Mar 27, 2025
1.1 years 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
Qwen2.5-Omni-7B
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about Grok-1.5 vs Qwen2.5-Omni-7B