Hooshware
QwQ-32B is an open-weights reasoning model developed by Alibaba Cloud's Qwen team on the Qwen2.5-32B architecture. Trained via large-scale reinforcement learning, it demonstrates self-reflective reasoning behaviors under the Apache 2.0 license.
Hooshware signals & evidence
Recorded signals are separated from independent benchmarks and source claims.
Momentum reflects recent attention and activity. Hype and Reality appear only when recorded; missing values are never silently estimated.
Model intelligence
About QwQ-32B
QwQ-32B is an open-weights reasoning model developed by Alibaba Cloud's Qwen team on the Qwen2.5-32B architecture. Trained via large-scale reinforcement learning, it demonstrates self-reflective reasoning behaviors under the Apache 2.0 license.
Discovery
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Recorded facts
Technical profile
- Parameters
- 32500000000
- Context window
- 32,768 tokens
- Maximum output
- 8,192 tokens
- License
- Apache-2.0
- Open weights
- Yes
- Input price / 1M
- None
- Output price / 1M
- None