Qwen: QwQ 32B Preview

Text input Text output Unavailable
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
Cost
$$
Context
32K
Parameters
32B
Released
Nov 27, 2024
Ability
Supported Parameters

This model supports the following parameters:

Top Logprobs Logit Bias Logprobs Stop Seed Min P Top P Max Tokens Frequency Penalty Temperature Presence Penalty
Performance Summary

Qwen: QwQ 32B Preview, an experimental research model from the Qwen Team, demonstrates exceptional speed, consistently ranking among the fastest models across three benchmarks. While no cost data is available, suggesting potential free-tier usage, its reliability is outstanding, achieving a 100% success rate with minimal technical failures. Despite these strengths, the model's current benchmark performance in General Knowledge, Ethics, and Email Classification is 0.0% accuracy across all categories, indicating significant room for improvement in these areas. Its description highlights promising analytical abilities, particularly in math and coding, which are not reflected in the provided benchmarks. Key limitations include language mixing, recursive reasoning loops, and the need for enhanced safety measures. This preview model showcases strong foundational performance in speed and reliability, but its reasoning capabilities outside of math and coding, and its general understanding, require substantial development.

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 Strategy Free Executions Accuracy Cost Duration
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