QwQ Models by Alibaba
1 model2025Up to 128K ctx
About
QwQ is a family of 1 AI model by Alibaba, released in 2025.
Current Variants
Use-when guidance is derived from seed capabilities, context, release, and replacement fields.
1 in view
QwQ 32BCurrent
Use when the workload needs reasoning, 128K context, and 32.5B parameters.
2025-03reasoning128K context32.5B parameters
| Model | Use when | Released | Signals | Status |
|---|---|---|---|---|
| QwQ 32B | Use when the workload needs reasoning, 128K context, and 32.5B parameters. | 2025-03 | reasoning128K context32.5B parameters | Current |
Release Timeline
1 release group2025-03
1 current
QwQ 32B
Currentreasoning128K context32.5B parameters
Specifications(1 models)
| Model | Released | Context | Parameters | Reasoning |
|---|---|---|---|---|
| QwQ 32B | 2025-03 | 128K | 32.5B | Yes |
Available From(1 provider)
Frequently Asked Questions
- What is QwQ used for?
- QwQ is used for reasoning, coding, and math-heavy prompts. The family description and listed model capabilities point to those workloads as the best fit.
- How does QwQ compare to Tongyi DeepResearch?
- QwQ by Alibaba is strongest where you need reasoning, while Tongyi DeepResearch by Alibaba is the closest related family to check for adjacent model selection. QwQ has 1 listed variant and reaches up to 128K context, while Tongyi DeepResearch reaches up to 131K context, so compare the specs and pricing tables before choosing a production model.
- Which QwQ model should I use?
- If price is the main constraint, use the pricing table first because QwQ does not have complete provider pricing in the local data. For the most capable/latest local choice, evaluate QwQ 32B with 128K context and reasoning.