Model Comparison
Grok-4 Fast Reasoning vs Qwen2.5-Omni-7B
Comparing Grok-4 Fast Reasoning and Qwen2.5-Omni-7B across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
Grok-4 Fast Reasoning and Qwen2.5-Omni-7B don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
Context Window
Maximum input and output token capacity
Only Grok-4 Fast Reasoning specifies input context (2,000,000 tokens). Only Grok-4 Fast Reasoning specifies output context (30,000 tokens).
Input Capabilities
Supported data types and modalities
Both Grok-4 Fast Reasoning and Qwen2.5-Omni-7B support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Grok-4 Fast Reasoning
Qwen2.5-Omni-7B
License
Usage and distribution terms
Grok-4 Fast Reasoning 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-4 Fast Reasoning was released on 2025-08-28, while Qwen2.5-Omni-7B was released on 2025-03-27.
Grok-4 Fast Reasoning is 5 months newer than Qwen2.5-Omni-7B.
Aug 28, 2025
7 months ago
5mo newerMar 27, 2025
1.1 years ago
Knowledge 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-4 Fast Reasoning vs Qwen2.5-Omni-7B