---
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-frontend-v2-927501783998.us-east4.run.app/qwen-qwen3-235b-a22b-thinking-2507
canonical: https://modelslab-frontend-v2-927501783998.us-east4.run.app/qwen-qwen3-235b-a22b-thinking-2507
type: website
component: Seo/ModelPage
generated_at: 2026-05-13T10:55:05.104147Z
---

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
---

[Read the docs ](https://docs.modelslab.com)

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

Qwen: Qwen3 235B A22B Thinking 2507 is an open-source MoE LLM with 235B total parameters and 22B active. It excels in thinking and reasoning tasks like math, logic, and coding. Optimized for detailed step-by-step outputs.

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

This version focuses solely on thinking mode with enhanced reasoning. It outputs detailed processes for complex tasks unlike regular conversation models. Superior on benchmarks requiring deep analysis.

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

Supports up to 262,144 tokens natively. Ideal for long documents and extended reasoning chains. Some providers cap at 128K or 256K.

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

Yes, leads open-source models on programming benchmarks. Handles code generation, debugging, and optimization with precise reasoning steps. Use TopK=20, TopP=0.95.

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

This model sets SOTA among open-source thinking LLMs. Compares to closed models like o3 or Claude Opus 4 on reasoning tasks. Check providers like Fireworks or Together for access.

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

235B MoE with 94 layers, 128 experts, 8 active. Supports function calling, JSON mode, 100+ languages. Max output up to 81K tokens on some platforms.

Ready to create?
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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 - 2026-05-13*