DeepSeek R1 Distill Qwen 1.5B vs Llama 3.2 3B Instruct
DeepSeek R1 Distill Qwen 1.5B and Llama 3.2 3B Instruct are closely matched at -3.0 and -6.1 on the LLM Stats Score.
DeepSeek · Meta · Updated for 2026
Which is better?
DeepSeek R1 Distill Qwen 1.5B and Llama 3.2 3B Instruct are closely matched on the overall LLM Stats Score at -3.0 and -6.1.
In the 1 individual benchmarks reported for both models, DeepSeek R1 Distill Qwen 1.5B 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 Qwen 1.5B
- 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 3B Instruct
- you want predictable pricing at $0.01/M input and $0.02/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 Qwen 1.5B · 15 for Llama 3.2 3B Instruct
DeepSeek R1 Distill Qwen 1.5B outperforms in 1 benchmarks (GPQA), while Llama 3.2 3B Instruct is better at 0 benchmarks.
DeepSeek R1 Distill Qwen 1.5B significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
Llama 3.2 3B Instruct has 1.4B more parameters than DeepSeek R1 Distill Qwen 1.5B, making it 80.3% larger.
Context Window
Maximum input and output token capacity
Only Llama 3.2 3B Instruct specifies input context (128,000 tokens). Only Llama 3.2 3B Instruct specifies output context (128,000 tokens).
License
Usage and distribution terms
DeepSeek R1 Distill Qwen 1.5B is licensed under MIT, while Llama 3.2 3B 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 Qwen 1.5B was released on 2025-01-20, while Llama 3.2 3B Instruct was released on 2024-09-25.
DeepSeek R1 Distill Qwen 1.5B is 4 months newer than Llama 3.2 3B Instruct.
Jan 20, 2025
1.7 years ago
3mo newerSep 25, 2024
2.0 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
Judge for yourself.
Run your own prompts against DeepSeek R1 Distill Qwen 1.5B and Llama 3.2 3B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek R1 Distill Qwen 1.5B vs Llama 3.2 3B Instruct.