DeepSeek R1 Distill Qwen 32B vs Qwen3 32B
DeepSeek R1 Distill Qwen 32B and Qwen3 32B are closely matched at 13.1 and 18.4 on the LLM Stats Score. Qwen3 32B is 1.0x cheaper per token.
DeepSeek · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
DeepSeek R1 Distill Qwen 32B and Qwen3 32B are closely matched on the overall LLM Stats Score at 13.1 and 18.4.
The models split the 2 individual benchmarks reported for both models evenly.
DeepSeek R1 Distill Qwen 32B also accepts a larger context window (128,000 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose DeepSeek R1 Distill Qwen 32B
- you process long inputs — it offers a 128,000 token context window
Choose Qwen3 32B
- you want the most recent training data — it shipped Apr 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 Qwen 32B · 9 for Qwen3 32B
DeepSeek R1 Distill Qwen 32B outperforms in 1 benchmarks (AIME 2024), while Qwen3 32B is better at 1 benchmark (LiveCodeBench).
Both models are evenly matched across the benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek R1 Distill Qwen 32B ($0.12/1M tokens) is 1.5x more expensive than Qwen3 32B ($0.08/1M tokens).
For output processing, DeepSeek R1 Distill Qwen 32B ($0.18/1M tokens) is 1.6x cheaper than Qwen3 32B ($0.28/1M tokens).
In conclusion, DeepSeek R1 Distill Qwen 32B is more expensive than Qwen3 32B.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Qwen3 32B has 0.0B more parameters than DeepSeek R1 Distill Qwen 32B, making it 0.0% larger.
Context Window
Maximum input and output token capacity
DeepSeek R1 Distill Qwen 32B accepts 128,000 input tokens compared to Qwen3 32B's 40,960 tokens. DeepSeek R1 Distill Qwen 32B can generate longer responses up to 128,000 tokens, while Qwen3 32B is limited to 40,960 tokens.
License
Usage and distribution terms
DeepSeek R1 Distill Qwen 32B is licensed under MIT, while Qwen3 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 Qwen 32B was released on 2025-01-20, while Qwen3 32B was released on 2025-04-29.
Qwen3 32B is 3 months newer than DeepSeek R1 Distill Qwen 32B.
Jan 20, 2025
1.7 years ago
Apr 29, 2025
1.4 years ago
3mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
DeepSeek R1 Distill Qwen 32B is available from DeepInfra. Qwen3 32B is available from DeepInfra, Novita, Sambanova.
DeepSeek R1 Distill Qwen 32B
Qwen3 32B
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek R1 Distill Qwen 32B and Qwen3 32B side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek R1 Distill Qwen 32B vs Qwen3 32B.