Qwen QwQ-32B
Reason Deeper. Solve Harder
Master Complex Reasoning
Math Mastery
AIME24 79.5 Score
Outperforms o1-mini on multi-step math problems with chain-of-thought reasoning.
Code Precision
Algorithm Optimization
Generates, debugs, and integrates code rivaling DeepSeek-R1 performance.
API Ready
131K Context Window
Handles long prompts via Qwen QwQ-32B API for comprehensive problem solving.
Examples
See what Qwen QwQ-32B can create
Copy any prompt below and try it yourself in the playground.
Math Proof
“Prove the Pythagorean theorem using step-by-step reasoning, including geometric visualization and algebraic verification. Output final proof in LaTeX.”
Code Debug
“Debug this Python function for sorting linked lists: def merge_sort(head): ... Identify errors and provide corrected implementation with time complexity analysis.”
Logic Puzzle
“Solve Einstein's riddle: five houses, colors, nationalities, drinks, smokes, pets. Who owns the fish? Reason step-by-step without assumptions.”
Research Summary
“Analyze quantum entanglement experiments from 2020-2025. Summarize key findings, implications for computing, and unresolved challenges.”
For Developers
A few lines of code.
Reasoning API. One Call.
ModelsLab handles the infrastructure: fast inference, auto-scaling, and a developer-friendly API. No GPU management needed.
- Serverless: scales to zero, scales to millions
- Pay per token, no minimums
- Python and JavaScript SDKs, plus REST API
import requestsresponse = requests.post("https://modelslab.com/api/v7/llm/chat/completions",json={"key": "YOUR_API_KEY","prompt": "","model_id": ""})print(response.json())