Qwen: Qwen3 235B A22B Thinking 2507
Reason Like Experts
Master Complex Reasoning
MoE Power
235B Total 22B Active
Activates 22B parameters from 128 experts for efficient reasoning.
Long Context
262K Token Window
Handles extended inputs natively for document analysis and chain-of-thought tasks.
Thinking Mode
Logic Math Code
Outputs step-by-step reasoning for math, science, programming, and agent workflows.
Examples
See what Qwen: Qwen3 235B A22B Thinking 2507 can create
Copy any prompt below and try it yourself in the playground.
Math Proof
“Prove Fermat's Last Theorem step-by-step, showing all logical deductions and key historical context. Use chain-of-thought reasoning.”
Code Debug
“Analyze this Python function with bugs: def factorial(n): if n == 0: return 1 else: return n * factorial(n). Fix recursively and optimize for large n.”
Science Hypothesis
“Design experiment testing quantum entanglement over 100km. Detail setup, controls, measurements, and expected outcomes with reasoning.”
Logic Puzzle
“Solve Einstein's riddle: five houses, colors, nationalities, drinks, smokes, pets. Who owns the fish? Think through constraints systematically.”
For Developers
A few lines of code.
Reasoning. One API 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())
Ready to create?
Start generating with Qwen: Qwen3 235B A22B Thinking 2507 on ModelsLab.