DeepSeek R1 Distill Llama 70B vs QwQ-32B
DeepSeek R1 Distill Llama 70B and QwQ-32B are closely matched at 14.8 and 15.2 on the LLM Stats Score.
DeepSeek · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
DeepSeek R1 Distill Llama 70B and QwQ-32B are closely matched on the overall LLM Stats Score at 14.8 and 15.2.
The models split the 4 individual benchmarks reported for both models evenly.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose DeepSeek R1 Distill Llama 70B
- you want predictable pricing at $0.10/M input and $0.40/M output
Choose QwQ-32B
- you want the most recent training data — it shipped Mar 2025
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 70B · 7 for QwQ-32B
DeepSeek R1 Distill Llama 70B outperforms in 2 benchmarks (AIME 2024, MATH-500), while QwQ-32B is better at 1 benchmark (LiveCodeBench).
DeepSeek R1 Distill Llama 70B has a slight edge in benchmark performance.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
DeepSeek R1 Distill Llama 70B has 38.1B more parameters than QwQ-32B, making it 117.2% larger.
Context Window
Maximum input and output token capacity
Only DeepSeek R1 Distill Llama 70B specifies input context (128,000 tokens). Only DeepSeek R1 Distill Llama 70B specifies output context (128,000 tokens).
License
Usage and distribution terms
DeepSeek R1 Distill Llama 70B is licensed under MIT, while QwQ-32B uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
DeepSeek R1 Distill Llama 70B was released on 2025-01-20, while QwQ-32B was released on 2025-03-05.
QwQ-32B is 1 month newer than DeepSeek R1 Distill Llama 70B.
Jan 20, 2025
1.6 years ago
Mar 5, 2025
1.5 years ago
1mo newerKnowledge Cutoff
When training data ends
QwQ-32B has a documented knowledge cutoff of 2024-11-28, while DeepSeek R1 Distill Llama 70B's cutoff date is not specified.
We can confirm QwQ-32B's training data extends to 2024-11-28, but cannot make a direct comparison without DeepSeek R1 Distill Llama 70B's cutoff date.
—
Nov 2024
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek R1 Distill Llama 70B and QwQ-32B side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek R1 Distill Llama 70B vs QwQ-32B.