DeepSeek R1 Distill Qwen 32B vs Qwen2 72B Instruct
DeepSeek R1 Distill Qwen 32B leads the LLM Stats Score 13.1 to 5.8.
DeepSeek · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
DeepSeek R1 Distill Qwen 32B leads the overall LLM Stats Score 13.1 to 5.8, ranking #247 overall.
In the 1 individual benchmarks reported for both models, DeepSeek R1 Distill Qwen 32B 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 32B
- overall performance matters — it scores 13.1 and ranks #247 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 Qwen2 72B Instruct
- you are already invested in the Alibaba Cloud / Qwen Team ecosystem
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 32B · 17 for Qwen2 72B Instruct
DeepSeek R1 Distill Qwen 32B outperforms in 1 benchmarks (GPQA), while Qwen2 72B Instruct is better at 0 benchmarks.
DeepSeek R1 Distill Qwen 32B significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
Qwen2 72B Instruct has 39.2B more parameters than DeepSeek R1 Distill Qwen 32B, making it 119.5% larger.
Context Window
Maximum input and output token capacity
Only DeepSeek R1 Distill Qwen 32B specifies input context (128,000 tokens). Only DeepSeek R1 Distill Qwen 32B specifies output context (128,000 tokens).
License
Usage and distribution terms
DeepSeek R1 Distill Qwen 32B is licensed under MIT, while Qwen2 72B Instruct uses tongyi-qianwen.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
tongyi-qianwen
Open weights
Release Timeline
When each model was launched
DeepSeek R1 Distill Qwen 32B was released on 2025-01-20, while Qwen2 72B Instruct was released on 2024-07-23.
DeepSeek R1 Distill Qwen 32B is 6 months newer than Qwen2 72B Instruct.
Jan 20, 2025
1.6 years ago
6mo newerJul 23, 2024
2.1 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 32B and Qwen2 72B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek R1 Distill Qwen 32B vs Qwen2 72B Instruct.