DeepSeek R1 Zero vs Llama 3.3 70B Instruct Comparison
Comparing DeepSeek R1 Zero and Llama 3.3 70B Instruct across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek R1 Zero outperforms in 1 benchmarks (GPQA), while Llama 3.3 70B Instruct 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 601.0B more parameters than Llama 3.3 70B Instruct, making it 858.6% larger.
Context Window
Maximum input and output token capacity
Only Llama 3.3 70B Instruct specifies input context (128,000 tokens). Only Llama 3.3 70B Instruct specifies output context (128,000 tokens).
License
Usage and distribution terms
DeepSeek R1 Zero is licensed under MIT, while Llama 3.3 70B Instruct uses Llama 3.3 Community License Agreement.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Llama 3.3 Community License Agreement
Open weights
Release Timeline
When each model was launched
DeepSeek R1 Zero was released on 2025-01-20, while Llama 3.3 70B Instruct was released on 2024-12-06.
DeepSeek R1 Zero is 2 months newer than Llama 3.3 70B Instruct.
Jan 20, 2025
1.2 years ago
1mo newerDec 6, 2024
1.3 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 Zero
View detailsDeepSeek
Detailed Comparison
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