Model Comparison
Grok-1.5 vs DeepSeek-R1
Comparing Grok-1.5 and DeepSeek-R1 across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
Grok-1.5 and DeepSeek-R1 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).
License
Usage and distribution terms
Grok-1.5 is licensed under a proprietary license, while DeepSeek-R1 uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
MIT
Open weights
Release Timeline
When each model was launched
Grok-1.5 was released on 2024-03-28, while DeepSeek-R1 was released on 2025-01-20.
DeepSeek-R1 is 10 months newer than Grok-1.5.
Mar 28, 2024
2.0 years ago
Jan 20, 2025
1.2 years ago
9mo 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
DeepSeek-R1
View detailsDeepSeek
Detailed Comparison
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FAQ
Common questions about Grok-1.5 vs DeepSeek-R1