Happy Horse 1.0 is now on ModelsLab

Try Now
Skip to main content
Available now on ModelsLab · Language Model

Qwen: Qwen3 235B A22B Thinking 2507Reason Like Experts

Try Qwen: Qwen3 235B A22B Thinking 2507API Documentation

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
API Documentation 
import requests


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

FAQ

Common questions about Qwen: Qwen3 235B A22B Thinking 2507

Read the docs

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.

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.

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

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

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.

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?

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

Try Qwen: Qwen3 235B A22B Thinking 2507API Documentation