Specifications
Context Window
—
Input Price/1M
—
Output Price/1M
—
Parameters
—
Benchmarks
QwQ 32B-Preview results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
Coding
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LiveCodeBench | 34.0 | 100.0 | — |
| SciCode | 4.0 | 100.0 | — |
Knowledge
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MMLU-Pro | 65.0 | 100.0 | — |
overall
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Intelligence Index | 15.2 | 100.0 | — |
Reasoning
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| GPQA Diamond | 56.0 | 100.0 | — |
| HLE | 5.0 | 100.0 | — |
Information
- Release date
- November 27, 2024
- Tool Calling
- ❌ Not supported
- Vision
- ❌ Not supported
- Audio
- ❌ Not supported
Full Analysis: QwQ 32B-Preview
What is QwQ 32B-Preview?
QwQ 32B-Preview is an AI model developed by Alibaba, classified as a text model. It focuses on text processing and natural language generation. As a proprietary model, it is available via Alibaba's cloud API.
Pricing & Costs in 2026
QwQ 32B-Preview does not have public per-token pricing available at this time. Some models offer access via enterprise plans or research programs. Check Alibaba's official website for up-to-date availability and pricing.
Benchmarks & Performance
QwQ 32B-Preview was evaluated on 6 different benchmarks, covering categories like Coding, Knowledge, overall, Reasoning. Results show moderate performance across available evaluations.
It's important to note that benchmarks measure specific aspects and don't capture the full user experience. Factors like instruction adherence, behavior in long conversations, and real-world task quality vary significantly between models and aren't always reflected in standard scores.
Recommended Use Cases
QwQ 32B-Preview specializes in text, offering advanced capabilities for creating and processing text content.
Comparison with Alternatives
In the 2026 AI model ecosystem, QwQ 32B-Preview competes directly with similarly capable models. Alibaba competes in this segment against OpenAI, Anthropic, Google, and Meta. The choice between models depends on the specific use case, budget, latency requirements, and need for features like multimodality and tool calling.
For a detailed side-by-side comparison, use our comparison tool or check the overall model ranking.
Frequently Asked Questions
What is QwQ 32B-Preview?
QwQ 32B-Preview is an AI model developed by Alibaba. It is a text model.
How much does QwQ 32B-Preview cost?
QwQ 32B-Preview does not have public per-token pricing available at this time. Check Alibaba's official website for up-to-date information.
How does QwQ 32B-Preview compare with other models?
In available benchmarks, QwQ 32B-Preview scored: LiveCodeBench: 34/100, SciCode: 4/100, MMLU-Pro: 65/100. See the full table above for a detailed comparison.
Is QwQ 32B-Preview open source?
No, QwQ 32B-Preview is a proprietary model from Alibaba. It is available via cloud API. For open source alternatives, check our open source model ranking.
What is QwQ 32B-Preview best for?
QwQ 32B-Preview excels at general-purpose language tasks.
Last updated: June 01, 2026 • View methodology →