DeepSeek R1 Distill Llama 8B vs Llama 3.2 11B Instruct
DeepSeek R1 Distill Llama 8B leads the LLM Stats Score 7.5 to -0.7.
DeepSeek · Meta · Updated for 2026
Which is better?
DeepSeek R1 Distill Llama 8B leads the overall LLM Stats Score 7.5 to -0.7, ranking #270 overall.
In the 1 individual benchmarks reported for both models, DeepSeek R1 Distill Llama 8B wins 1; this is a narrower head-to-head signal than the composite indexes.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose DeepSeek R1 Distill Llama 8B
- overall performance matters — it scores 7.5 and ranks #270 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- you want the most recent training data — it shipped Jan 2025
Choose Llama 3.2 11B Instruct
- you want predictable pricing at $0.05/M input and $0.05/M output
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
4 reported for DeepSeek R1 Distill Llama 8B · 11 for Llama 3.2 11B Instruct
DeepSeek R1 Distill Llama 8B outperforms in 1 benchmarks (GPQA), while Llama 3.2 11B Instruct is better at 0 benchmarks.
DeepSeek R1 Distill Llama 8B significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
Llama 3.2 11B Instruct has 2.6B more parameters than DeepSeek R1 Distill Llama 8B, making it 32.0% larger.
Context Window
Maximum input and output token capacity
Only Llama 3.2 11B Instruct specifies input context (128,000 tokens). Only Llama 3.2 11B Instruct specifies output context (128,000 tokens).
Input capabilities
Documented input modalities across available providers
Llama 3.2 11B Instruct supports multimodal inputs, whereas DeepSeek R1 Distill Llama 8B 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 Distill Llama 8B
Llama 3.2 11B Instruct
License
Usage and distribution terms
DeepSeek R1 Distill Llama 8B 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 Distill Llama 8B was released on 2025-01-20, while Llama 3.2 11B Instruct was released on 2024-09-25.
DeepSeek R1 Distill Llama 8B is 4 months newer than Llama 3.2 11B Instruct.
Jan 20, 2025
1.6 years ago
3mo newerSep 25, 2024
1.9 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 Distill Llama 8B'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 Distill Llama 8B's cutoff date.
—
Dec 2023
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek R1 Distill Llama 8B and Llama 3.2 11B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek R1 Distill Llama 8B vs Llama 3.2 11B Instruct.