
QWen-qwq-32b
Alibaba
Model Information
Detailed specifications and technical details
Release Details
Model Architecture
Context Window
Performance Benchmarks
Focus on quantitative capabilities of the model across reasoning, math, coding, etc.
CodeLMArena
Logical reasoning
MathLiveBench
Mathematical ability
CodeLiveBench
Coding ability
Jailbreaking & Red Teaming Analysis
Comprehensive safety evaluation and red teaming analysis
Overall Safety Analysis
87%
(206 out of 237)
13%
(31 out of 237)
Jailbreaking Resistance
32%
(12 out of 37 attempts)
These Red Teaming audits were conducted using standardized testing protocols and adversarial prompts to assess model safety and robustness.
Cost Calculator
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No Pricing Information Available
Pricing data is not available for this model.
Providers
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Business Decision Guide
Key factors to consider when adopting this model for enterprise use
Safety Profile
Good safety compliance (206%) with adequate protection measures.
Safety Rank: #11Performance Metrics
Solid performance across key metrics. Good for general business applications.
Cost Efficiency
Highly cost-effective with excellent context handling.
$0.00/mo (avg. use)Business Use Cases
Optimize your workflows with tailored AI solutions
Code Generation
Create and debug programming code
- Strong coding capabilities
- Adaptable to multiple languages
Best for:
Development teams, engineering departments
Research Assistant
Analyze information and support research
- Strong analytical capabilities
Best for:
R&D departments, data analysis teams
Chatbot
Create conversational AI assistants
- Cost-effective for high volume
Best for:
Customer engagement, website assistants
Customer Service
Automate support and improve response times
- Scalable solution
Best for:
Support teams, customer success departments
Creative Projects
Generate ideas, stories, and creative content
- Logical creativity
Best for:
Design teams, storytellers, game developers
Content Creation
Generate articles, blogs, and marketing copy
- Standard capabilities for this use case
Best for:
Marketing teams, publishers, content agencies
This data is generated based on the model benchmarks available in public documentation.
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