Project AURIONAI Use-Cases Research & Innovation
Alibaba (Qwen)
reasoning

QwQ-32B

Qwen 32B reasoning model trained with reinforcement learning, reported by Qwen as comparable to DeepSeek-R1.

Benchmark bar chart comparing QwQ-32B with DeepSeek-R1, OpenAI o1-mini and other models.
Levelmodel
Classreasoning
Parameters32.5B
Context131,072
Released6 Mar 2025
Opennessopen weights permissive
Runs onnot in the notes
Statusactive

Lineage

finetune
Qwen2.5-32B to QwQ-32B: finetune, high confidenceQwen2.5-32B to Baichuan-M2-32B: finetune, high confidenceQwen2.5-32B to DeepSeek-R1-Distill-Qwen-32B: finetune, high confidenceQwen2.5-32BQwen2.5-32BAlibaba (Qwen), Sep 2024DeepSeek-R1-Distill-Qwen-32BDeepSeek-R1-Distill-Qwen-3…DeepSeek, Jan 2025QwQ-32BQwQ-32BAlibaba (Qwen), Mar 2025Baichuan-M2-32BBaichuan-M2-32BBaichuan AI, Sep 2025
Alibaba (Qwen)Qwen2.5-32B is the parent (finetune)high confidenceHugging Face base_model
Where this comes from
Parent and child relations from model cards, Hugging Face base_model fields and the genealogy tables of the research notes. The tree shows two generations each way, 4 models. Confidence and evidence are the notes' own.

R&D Topics

Identity

Developer
Alibaba (Qwen)
Family
Qwen
Released
6 Mar 2025 sourcesannouncement page
Weights published
6 Mar 2025
Record checked
11 Oct 2026
Where this comes from
Developer and dates from the research notes. Release date is the vendor's public announcement; weights date is when open weights were published.

Architecture and Size

Architecture
not in the notes
Total parameters
32.5B sources
Active parameters
–
Checkpoint parameters
–
Note
31.0B non-embedding parameters; 64 layers
Context length
131,072 tokens
Input
text
Output
text
Where this comes from
Parameter counts as the developer states them. Where the checkpoint holds a different total, both are shown (register A16).

Openness and Access

Openness
open weights permissive
Licence
Apache License 2.0 sources
Access routes
open weights download, consumer app
Where this comes from
The licence file governs over registry tags and aggregator labels.

Deployment

Runs on
not in the notes
Footprint
YaRN must be enabled for prompts over 8,192 tokens
Runtimes
not in the notes
Where this comes from
Deployment tiers and runtimes as named in the notes. Footprint is the notes' figure, not a measurement by AURION.

Indonesia

Indonesian support
not stated
Regional languages
not in the notes
Jakarta hosting
unknown
Languages
Hugging Face language tag: en
Where this comes from
Indonesia fields are carried on every model; unknown is an allowed value.

Benchmark Results

The notes record no benchmark result for this model.

Industry Use Cases

No industry use case links this model.

Sources

  1. qwenlm.github.io/blog/qwq-32b https://qwenlm.github.io/blog/qwq-32b/
  2. huggingface.co/Qwen/QwQ-32B https://huggingface.co/Qwen/QwQ-32B

To cite this page: Project AURION, AI Use-Cases Research & Innovation, "QwQ-32B", https://aurion.semai.id/models/alibaba-qwq-32b/, records of October 2026.