---
title: Qwen3 235B Thinking LLM | ModelsLab
description: Access Qwen: Qwen3 235B A22B Thinking 2507 for reasoning. Generate complex math, code, and logic via API. Deploy now.
url: https://modelslab.com/qwen-qwen3-235b-a22b-thinking-2507
canonical: https://modelslab.com/qwen-qwen3-235b-a22b-thinking-2507
type: website
component: Seo/ModelPage
generated_at: 2026-04-15T02:09:14.116241Z
---

Available now on ModelsLab · Language Model

Qwen: Qwen3 235B A22B Thinking 2507
Reason Like Experts
---

[Try Qwen: Qwen3 235B A22B Thinking 2507](/models/open_router/qwen-qwen3-235b-a22b-thinking-2507) [API Documentation](https://docs.modelslab.com)

Master Complex Reasoning
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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](/models/open_router/qwen-qwen3-235b-a22b-thinking-2507).

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

[API Documentation ](https://docs.modelslab.com)

PythonJavaScriptcURL

Copy

```
<code>import requests

response = requests.post(
    "https://modelslab.com/api/v7/llm/chat/completions",
    json={
  "key": "YOUR_API_KEY",
  "prompt": "",
  "model_id": ""
}
)
print(response.json())</code>
```

FAQ

Common questions about Qwen: Qwen3 235B A22B Thinking 2507
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[Read the docs ](https://docs.modelslab.com)

### What is Qwen: Qwen3 235B A22B Thinking 2507?

### How does qwen qwen3 235b a22b thinking 2507 differ from base Qwen3?

### What context length supports Qwen: Qwen3 235B A22B Thinking 2507 API?

### Is Qwen: Qwen3 235B A22B Thinking 2507 model good for coding?

### Where to find Qwen: Qwen3 235B A22B Thinking 2507 alternative?

### What are qwen qwen3 235b a22b thinking 2507 API specs?

Ready to create?
---

Start generating with Qwen: Qwen3 235B A22B Thinking 2507 on ModelsLab.

[Try Qwen: Qwen3 235B A22B Thinking 2507](/models/open_router/qwen-qwen3-235b-a22b-thinking-2507) [API Documentation](https://docs.modelslab.com)

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*This markdown version is optimized for AI agents and LLMs.*

**Links:**
- [Website](https://modelslab.com)
- [API Documentation](https://docs.modelslab.com)
- [Blog](https://modelslab.com/blog)

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*Generated by ModelsLab - 2026-04-15*