DeepSeek R1 Distill Qwen 1.5B vs Qwen2.5 32B Instruct
Qwen2.5 32B Instruct leads the LLM Stats Score 7.8 to -2.8.
DeepSeek · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Qwen2.5 32B Instruct leads the overall LLM Stats Score 7.8 to -2.8, ranking #273 overall.
In the 1 individual benchmarks reported for both models, Qwen2.5 32B Instruct 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 want the most recent training data — it shipped Jan 2025
Choose Qwen2.5 32B Instruct
- overall performance matters — it scores 7.8 and ranks #273 on LLM Stats
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
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 · 18 for Qwen2.5 32B Instruct
DeepSeek R1 Distill Qwen 1.5B outperforms in 0 benchmarks, while Qwen2.5 32B Instruct is better at 1 benchmark (GPQA).
Qwen2.5 32B Instruct significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
Qwen2.5 32B Instruct has 30.7B more parameters than DeepSeek R1 Distill Qwen 1.5B, making it 1725.8% larger.
License
Usage and distribution terms
DeepSeek R1 Distill Qwen 1.5B is licensed under MIT, while Qwen2.5 32B Instruct 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 Qwen 1.5B was released on 2025-01-20, while Qwen2.5 32B Instruct was released on 2024-09-19.
DeepSeek R1 Distill Qwen 1.5B is 4 months newer than Qwen2.5 32B Instruct.
Jan 20, 2025
1.6 years ago
4mo newerSep 19, 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 Qwen2.5 32B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek R1 Distill Qwen 1.5B vs Qwen2.5 32B Instruct.