---
title: Qwen: Qwen3.5-27B — Advanced Reasoning LLM | ModelsLab
description: Access Qwen: Qwen3.5-27B model via API for dense reasoning, 262K context, and multimodal tasks. Generate precise outputs now.
url: https://modelslab-frontend-v2-927501783998.us-east4.run.app/qwen-qwen35-27b
canonical: https://modelslab-frontend-v2-927501783998.us-east4.run.app/qwen-qwen35-27b
type: website
component: Seo/ModelPage
generated_at: 2026-05-13T09:45:02.356637Z
---

Available now on ModelsLab · Language Model

Qwen: Qwen3.5-27B
Dense Reasoning Powerhouse
---

[Try Qwen: Qwen3.5-27B](/models/alibaba_cloud/qwen-qwen3.5-27b) [API Documentation](https://docs.modelslab.com)

Deploy Qwen3.5-27B Capabilities
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262K Context

### Process Vast Inputs

Handle 262,144 tokens natively, extensible to 1M for long documents and conversations.

Multimodal Support

### Text Image Video

Qwen: Qwen3.5-27B API processes text, images, videos with visual reasoning matching top models.

Reasoning Mode

### Step-by-Step Thinking

Enable reasoning parameter for transparent chain-of-thought outputs in complex tasks.

Examples

See what Qwen: Qwen3.5-27B can create
---

Copy any prompt below and try it yourself in the [playground](/models/alibaba_cloud/qwen-qwen3.5-27b).

Code Debug

“Analyze this Python function for bugs and suggest fixes: def factorial(n): if n == 0: return 1 else: return n \* factorial(n+1). Explain step-by-step.”

Math Proof

“Prove that the sum of angles in a triangle is 180 degrees. Use geometric reasoning and provide a diagram description.”

Document Summary

“Summarize key points from this 10-page research paper on quantum computing advancements, highlighting breakthroughs and limitations.”

Multilingual Translation

“Translate this technical report from Chinese to English, preserving code snippets and mathematical formulas accurately.”

For Developers

A few lines of code.
Reasoning LLM. Two Lines.
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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: Qwen3.5-27B
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[Read the docs ](https://docs.modelslab.com)

### What is Qwen: Qwen3.5-27B model?

Qwen: Qwen3.5-27B is Alibaba's dense 27B parameter LLM activating all parameters per token. It excels in reasoning, coding, and supports 201 languages. Open-weight under Apache 2.0.

### How to access Qwen: Qwen3.5-27B API?

Use OpenAI-compatible endpoints like OpenRouter or DeepInfra with model ID qwen/qwen3.5-27b. Integrate via Python, JS, or cURL in minutes. Pricing starts at $0.002 per 1M output tokens.

### What context length for qwen qwen3 5 27b api?

Native 262,144 tokens, extensible to 1M. Supports up to 66K output tokens per response. Ideal for long-context tasks.

### Is Qwen: Qwen3.5-27B alternative to Claude Sonnet?

Matches Claude Sonnet 4.5 on visual reasoning and ties GPT-5 mini on SWE-bench at 72.4. Dense architecture suits consumer hardware and production.

### Qwen: Qwen3.5-27B LLM multimodal features?

Processes text, images, videos with tool calling and structured outputs. Use reasoning mode for step-by-step analysis.

### Speed of qwen qwen3 5 27b model?

Outputs 87.4 tokens per second on Alibaba API. Balances speed and intelligence with Intelligence Index score of 42.

Ready to create?
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Start generating with Qwen: Qwen3.5-27B on ModelsLab.

[Try Qwen: Qwen3.5-27B](/models/alibaba_cloud/qwen-qwen3.5-27b) [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*