Model Comparison
DeepSeek-R1 vs Llama 3.2 11B Instruct
Comparing DeepSeek-R1 and Llama 3.2 11B Instruct across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek-R1 and Llama 3.2 11B Instruct 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
For input processing, DeepSeek-R1 ($0.55/1M tokens) is 11.0x more expensive than Llama 3.2 11B Instruct ($0.05/1M tokens).
For output processing, DeepSeek-R1 ($2.19/1M tokens) is 43.8x more expensive than Llama 3.2 11B Instruct ($0.05/1M tokens).
In conclusion, DeepSeek-R1 is more expensive than Llama 3.2 11B Instruct.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
DeepSeek-R1 has 660.4B more parameters than Llama 3.2 11B Instruct, making it 6230.2% larger.
Context Window
Maximum input and output token capacity
DeepSeek-R1 accepts 131,072 input tokens compared to Llama 3.2 11B Instruct's 128,000 tokens. DeepSeek-R1 can generate longer responses up to 131,072 tokens, while Llama 3.2 11B Instruct is limited to 128,000 tokens.
Input Capabilities
Supported data types and modalities
Llama 3.2 11B Instruct supports multimodal inputs, whereas DeepSeek-R1 does not.
Llama 3.2 11B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek-R1
Llama 3.2 11B Instruct
License
Usage and distribution terms
DeepSeek-R1 is licensed under MIT, while Llama 3.2 11B Instruct uses Llama 3.2 Community License.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Llama 3.2 Community License
Open weights
Release Timeline
When each model was launched
DeepSeek-R1 was released on 2025-01-20, while Llama 3.2 11B Instruct was released on 2024-09-25.
DeepSeek-R1 is 4 months newer than Llama 3.2 11B Instruct.
Jan 20, 2025
1.2 years ago
3mo newerSep 25, 2024
1.5 years ago
Knowledge Cutoff
When training data ends
Llama 3.2 11B Instruct has a documented knowledge cutoff of 2023-12-31, while DeepSeek-R1's cutoff date is not specified.
We can confirm Llama 3.2 11B Instruct's training data extends to 2023-12-31, but cannot make a direct comparison without DeepSeek-R1's cutoff date.
—
Dec 2023
Provider Availability
DeepSeek-R1 is available from DeepSeek, DeepInfra, Together, Fireworks. Llama 3.2 11B Instruct is available from DeepInfra, Sambanova, Bedrock, Groq, Together, Fireworks.
DeepSeek-R1
Llama 3.2 11B Instruct
Outputs Comparison
Key Takeaways
DeepSeek-R1
View detailsDeepSeek
Detailed Comparison
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FAQ
Common questions about DeepSeek-R1 vs Llama 3.2 11B Instruct