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.
Hype vs Reality history
Daily evidence snapshots · latest 26 days
Current read
Evidence is developing
- Independent sources
- 0
- Community sample
- 0
- Useful reports
- 0
- Unhelpful reports
- 0
Community evidence is still too small to make a strong usefulness claim.
Momentum reflects recent attention and activity. Hype and Reality are recalculated from coverage, product evidence and real-world community utility signals.
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
Related models
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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