Model Comparison
DeepSeek R1 Distill Qwen 1.5B vs Grok-3
Grok-3 significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek R1 Distill Qwen 1.5B outperforms in 0 benchmarks, while Grok-3 is better at 3 benchmarks (AIME 2024, GPQA, LiveCodeBench).
Grok-3 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Context Window
Maximum input and output token capacity
Only Grok-3 specifies input context (128,000 tokens). Only Grok-3 specifies output context (8,000 tokens).
Input Capabilities
Supported data types and modalities
Grok-3 supports multimodal inputs, whereas DeepSeek R1 Distill Qwen 1.5B does not.
Grok-3 can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek R1 Distill Qwen 1.5B
Grok-3
License
Usage and distribution terms
DeepSeek R1 Distill Qwen 1.5B is licensed under MIT, while Grok-3 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 Distill Qwen 1.5B was released on 2025-01-20, while Grok-3 was released on 2025-02-17.
Grok-3 is 1 month newer than DeepSeek R1 Distill Qwen 1.5B.
Jan 20, 2025
1.3 years ago
Feb 17, 2025
1.2 years ago
4w newerKnowledge Cutoff
When training data ends
Grok-3 has a documented knowledge cutoff of 2024-11-17, while DeepSeek R1 Distill Qwen 1.5B's cutoff date is not specified.
We can confirm Grok-3's training data extends to 2024-11-17, but cannot make a direct comparison without DeepSeek R1 Distill Qwen 1.5B's cutoff date.
—
Nov 2024
Outputs Comparison
Key Takeaways
DeepSeek R1 Distill Qwen 1.5BGrok-3Detailed Comparison
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FAQ
Common questions about DeepSeek R1 Distill Qwen 1.5B vs Grok-3.