Model Comparison
Grok-4.1 Thinking vs Qwen2.5 14B Instruct
Comparing Grok-4.1 Thinking and Qwen2.5 14B Instruct across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
Grok-4.1 Thinking and Qwen2.5 14B Instruct 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-4.1 Thinking specifies input context (256,000 tokens). Only Grok-4.1 Thinking specifies output context (8,000 tokens).
Input Capabilities
Supported data types and modalities
Grok-4.1 Thinking supports multimodal inputs, whereas Qwen2.5 14B Instruct does not.
Grok-4.1 Thinking can handle both text and other forms of data like images, making it suitable for multimodal applications.
Grok-4.1 Thinking
Qwen2.5 14B Instruct
License
Usage and distribution terms
Grok-4.1 Thinking is licensed under a proprietary license, while Qwen2.5 14B 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-4.1 Thinking was released on 2025-11-17, while Qwen2.5 14B Instruct was released on 2024-09-19.
Grok-4.1 Thinking is 14 months newer than Qwen2.5 14B Instruct.
Nov 17, 2025
4 months ago
1.2yr newerSep 19, 2024
1.6 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 14B Instruct
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about Grok-4.1 Thinking vs Qwen2.5 14B Instruct