Model Comparison
DeepSeek-R1 vs Grok-2 mini
Comparing DeepSeek-R1 and Grok-2 mini across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek-R1 and Grok-2 mini 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 DeepSeek-R1 specifies input context (131,072 tokens). Only DeepSeek-R1 specifies output context (131,072 tokens).
Input Capabilities
Supported data types and modalities
Grok-2 mini supports multimodal inputs, whereas DeepSeek-R1 does not.
Grok-2 mini can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek-R1
Grok-2 mini
License
Usage and distribution terms
DeepSeek-R1 is licensed under MIT, while Grok-2 mini uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
DeepSeek-R1 was released on 2025-01-20, while Grok-2 mini was released on 2024-08-13.
DeepSeek-R1 is 5 months newer than Grok-2 mini.
Jan 20, 2025
1.2 years ago
5mo newerAug 13, 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
DeepSeek-R1
View detailsDeepSeek
Detailed Comparison
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FAQ
Common questions about DeepSeek-R1 vs Grok-2 mini