DeepSeek R1 Distill Qwen 1.5B vs DeepSeek-V3.2 (Thinking)
DeepSeek-V3.2 (Thinking) significantly outperforms across most benchmarks.
DeepSeek · DeepSeek · Updated for 2026
Which is better?
DeepSeek R1 Distill Qwen 1.5B outperforms in 0 benchmarks, while DeepSeek-V3.2 (Thinking) is better at 2 benchmarks (GPQA, LiveCodeBench). DeepSeek-V3.2 (Thinking) significantly outperforms across most benchmarks.
Based on current benchmark, pricing, and model metadata for 2026.
Choose DeepSeek R1 Distill Qwen 1.5B
- you are already invested in the DeepSeek ecosystem
Choose DeepSeek-V3.2 (Thinking)
- you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
- you want the most recent training data — it shipped Dec 2025
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek R1 Distill Qwen 1.5B outperforms in 0 benchmarks, while DeepSeek-V3.2 (Thinking) is better at 2 benchmarks (GPQA, LiveCodeBench).
DeepSeek-V3.2 (Thinking) significantly outperforms across most benchmarks.
Arena Performance
Playground indexes and blind preference scores
Model Size
Parameter count comparison
DeepSeek-V3.2 (Thinking) has 683.2B more parameters than DeepSeek R1 Distill Qwen 1.5B, making it 38383.1% larger.
Context Window
Maximum input and output token capacity
Only DeepSeek-V3.2 (Thinking) specifies input context (131,072 tokens). Only DeepSeek-V3.2 (Thinking) specifies output context (65,536 tokens).
License
Usage and distribution terms
Both models are licensed under MIT.
Both models share the same licensing terms, providing consistent usage rights.
MIT
Open weights
MIT
Open weights
Release Timeline
When each model was launched
DeepSeek R1 Distill Qwen 1.5B was released on 2025-01-20, while DeepSeek-V3.2 (Thinking) was released on 2025-12-01.
DeepSeek-V3.2 (Thinking) is 11 months newer than DeepSeek R1 Distill Qwen 1.5B.
Jan 20, 2025
1.6 years ago
Dec 1, 2025
8 months ago
10mo newerKnowledge 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 DeepSeek-V3.2 (Thinking) side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek R1 Distill Qwen 1.5B vs DeepSeek-V3.2 (Thinking).