Author's Description
QwQ-32B-Preview is an experimental research model focused on AI reasoning capabilities developed by the Qwen Team. As a preview release, it demonstrates promising analytical abilities while having several important limitations: 1. **Language Mixing and Code-Switching**: The model may mix languages or switch between them unexpectedly, affecting response clarity. 2. **Recursive Reasoning Loops**: The model may enter circular reasoning patterns, leading to lengthy responses without a conclusive answer. 3. **Safety and Ethical Considerations**: The model requires enhanced safety measures to ensure reliable and secure performance, and users should exercise caution when deploying it. 4. **Performance and Benchmark Limitations**: The model excels in math and coding but has room for improvement in other areas, such as common sense reasoning and nuanced language understanding.
Key Specifications
Supported Parameters
This model supports the following parameters:
Performance Summary
Qwen: QwQ 32B Preview, an experimental research model from the Qwen Team, demonstrates exceptional speed and reliability. It consistently ranks among the fastest models, achieving an "Infinityth percentile" across four benchmarks, indicating superior processing speed. Its reliability is also outstanding, with a 100th percentile ranking, meaning it consistently provides usable responses with minimal technical failures. Price data is currently unavailable, suggesting potential free tier usage. Despite its strong foundational performance in speed and reliability, the model's current preview status reveals significant limitations in accuracy across all tested benchmarks. It scored 0.0% accuracy in Email Classification, Reasoning, Ethics, and General Knowledge. This indicates that while the model is fast and stable, its ability to produce correct answers in these domains is currently non-existent. The model's description highlights its focus on AI reasoning and acknowledges weaknesses in common sense reasoning and nuanced language understanding, which aligns with the benchmark results. Its noted strengths in math and coding are not reflected in the provided general benchmarks. Furthermore, the model exhibits issues with language mixing, recursive reasoning loops, and requires enhanced safety measures.
Model Pricing
Current Pricing
Feature | Price (per 1M tokens) |
---|---|
Prompt | $0.2 |
Completion | $0.2 |
Price History
Available Endpoints
Provider | Endpoint Name | Context Length | Pricing (Input) | Pricing (Output) |
---|---|---|---|---|
Hyperbolic
|
Hyperbolic | qwen/qwq-32b-preview | 32K | $0.2 / 1M tokens | $0.2 / 1M tokens |
Benchmark Results
Benchmark | Category | Reasoning | Free | Executions | Accuracy | Cost | Duration |
---|
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