Model Comparison
DeepSeek R1 Zero vs Gemma 3 1B
DeepSeek R1 Zero significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek R1 Zero outperforms in 2 benchmarks (GPQA, LiveCodeBench), while Gemma 3 1B is better at 0 benchmarks.
DeepSeek R1 Zero significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Model Size
Parameter count comparison
DeepSeek R1 Zero has 670.0B more parameters than Gemma 3 1B, making it 67000.0% larger.
License
Usage and distribution terms
DeepSeek R1 Zero is licensed under MIT, while Gemma 3 1B uses Gemma.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Gemma
Open weights
Release Timeline
When each model was launched
DeepSeek R1 Zero was released on 2025-01-20, while Gemma 3 1B was released on 2025-03-12.
Gemma 3 1B is 2 months newer than DeepSeek R1 Zero.
Jan 20, 2025
1.3 years ago
Mar 12, 2025
1.1 years ago
1mo 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 Zero
View detailsDeepSeek
Gemma 3 1B
View detailsNo standout differentiators in the data we have for this pair.
Detailed Comparison
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FAQ
Common questions about DeepSeek R1 Zero vs Gemma 3 1B.