Model Comparison
DeepSeek R1 Zero vs Granite 3.3 8B Base
DeepSeek R1 Zero significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek R1 Zero outperforms in 2 benchmarks (AIME 2024, MATH-500), while Granite 3.3 8B Base is better at 0 benchmarks.
DeepSeek R1 Zero significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
Model Size
Parameter count comparison
DeepSeek R1 Zero has 662.8B more parameters than Granite 3.3 8B Base, making it 8113.0% larger.
Input Capabilities
Supported data types and modalities
Granite 3.3 8B Base supports multimodal inputs, whereas DeepSeek R1 Zero does not.
Granite 3.3 8B Base can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek R1 Zero
Granite 3.3 8B Base
License
Usage and distribution terms
DeepSeek R1 Zero is licensed under MIT, while Granite 3.3 8B Base uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
DeepSeek R1 Zero was released on 2025-01-20, while Granite 3.3 8B Base was released on 2025-04-16.
Granite 3.3 8B Base is 3 months newer than DeepSeek R1 Zero.
Jan 20, 2025
1.2 years ago
Apr 16, 2025
11 months ago
2mo newerKnowledge Cutoff
When training data ends
Granite 3.3 8B Base has a documented knowledge cutoff of 2024-04-01, while DeepSeek R1 Zero's cutoff date is not specified.
We can confirm Granite 3.3 8B Base's training data extends to 2024-04-01, but cannot make a direct comparison without DeepSeek R1 Zero's cutoff date.
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Apr 2024
Outputs Comparison
Key Takeaways
DeepSeek R1 Zero
View detailsDeepSeek
Detailed Comparison
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FAQ
Common questions about DeepSeek R1 Zero vs Granite 3.3 8B Base