---
title: Qwen: Qwen3.5 Plus 2026 04 20 | Text Generation | ModelsLab
description: Build with Qwen: Qwen3.5 Plus 2026 04 20 API by Qwen. Text generation, chat, code, and reasoning. Pay-per-use. Free tier.
url: https://modelslab.com/models/qwen/qwen-qwen3.5-plus-20260420.md
canonical: https://modelslab.com/models/qwen/qwen-qwen3.5-plus-20260420.md
type: product
component: Playground/LLM/Index
generated_at: 2026-04-28T08:09:33.807449Z
---

Qwen: Qwen3.5 Plus 2026-04-20
---

 [LLMs.txt](https://modelslab.com/models/open_router/qwen-qwen3.5-plus-20260420/llms.txt) [.md](https://modelslab.com/models/qwen/qwen-qwen3.5-plus-20260420.md)

qwen-qwen3.5-plus-20260420 qwen Closed Source Model $1.400000 / call

Qwen: Qwen3.5 Plus 2026-04-20
---

Choose a prompt below to get started or type your own message

 Explain quantum computing in simple terms

 Write a Python function to sort a list

 Create a marketing email for a SaaS product

 Compare REST vs GraphQL APIs

Send

### Qwen: Qwen3.5 Plus 2026-04-20

qwen qwen-qwen3.5-plus-20260420

Copy model ID

PricingInput $0.40 / 1M tokens

Output $2.40 / 1M tokens

API EndpointsOpenAI Compatible

`https://modelslab.com/api/v7/llm/chat/completions`Endpoint

Anthropic Compatible

`https://modelslab.com/api/v7/llm/v1/messages`Messages

`https://modelslab.com/api/v7/llm/v1/messages/count_tokens`Count Tokens

`https://modelslab.com/api/v7/llm/v1/models`Models

Use with Claude Code

cURL Example

ParametersSystem MessageYou are a helpful AI assistant specialized in providing accurate and detailed responses.

Temperature0.7

Max Tokens1000

Top P0.9

Frequency Penalty0

Presence Penalty0

Model Info

Support

Related Models
---

Discover similar models you might be interested in

 [View all LLM Models](https://modelslab.com/models?feature=llmaster)

[MS](https://modelslab.com/models/together_ai/mistralai-Magistral-Small-2506)[Together AI](https://modelslab.com/models/together_ai)

 [Magistral Small 2506

Closed Source Model](https://modelslab.com/models/together_ai/mistralai-Magistral-Small-2506)

[L4](https://modelslab.com/models/meta/meta-llama-Llama-4-Scout-17B-16E-Instruct)[ModelsLab](https://modelslab.com/models/meta)

 [Llama 4 Scout Instruct (17Bx16E)

Closed Source Model](https://modelslab.com/models/meta/meta-llama-Llama-4-Scout-17B-16E-Instruct)

[NH](https://modelslab.com/models/nous_research/NousResearch-Nous-Hermes-2-Mixtral-8x7B-DPO)[ModelsLab](https://modelslab.com/models/nous_research)

 [Nous Hermes 2 Mixtral 8X7B Dpo

Closed Source Model](https://modelslab.com/models/nous_research/NousResearch-Nous-Hermes-2-Mixtral-8x7B-DPO)

[G4](https://modelslab.com/models/together_ai/google-gemma-4-31B-it)[Together AI](https://modelslab.com/models/together_ai)

 [Gemma 4 31B-it FP8

Closed Source Model](https://modelslab.com/models/together_ai/google-gemma-4-31B-it)

[OG](https://modelslab.com/models/open_router/openai-gpt-oss-120b-free)[Open Router](https://modelslab.com/models/open_router)

 [OpenAI: gpt-oss-120b (free)

Closed Source Model](https://modelslab.com/models/open_router/openai-gpt-oss-120b-free)

[KK](https://modelslab.com/models/together_ai/moonshotai-Kimi-K2.6)[Together AI](https://modelslab.com/models/together_ai)

 [Kimi K2.6 Fp4

Closed Source Model](https://modelslab.com/models/together_ai/moonshotai-Kimi-K2.6)

[QQ](https://modelslab.com/models/open_router/qwen-qwen3.5-27b)[Open Router](https://modelslab.com/models/open_router)

 [Qwen: Qwen3.5-27B

Closed Source Model](https://modelslab.com/models/open_router/qwen-qwen3.5-27b)

[DV](https://modelslab.com/models/together_ai/deepseek-ai-DeepSeek-V3.1-Base)[Together AI](https://modelslab.com/models/together_ai)

 [Deepseek V3.1 Base

Closed Source Model](https://modelslab.com/models/together_ai/deepseek-ai-DeepSeek-V3.1-Base)

[![Gemini 2.0 Flash](https://images.stablediffusionapi.com/?Image=https://assets.modelslab.ai/generations/f05a6bc4-dd20-49cc-bc2f-8a1c9b25e930.png)](https://modelslab.com/models/google/gemini-2.0-flash-001)[Google](https://modelslab.com/models/google)

 [Gemini 2.0 Flash

Closed Source Model](https://modelslab.com/models/google/gemini-2.0-flash-001)

[AC](https://modelslab.com/models/open_router/anthropic-claude-opus-4.5)[Open Router](https://modelslab.com/models/open_router)

 [Anthropic: Claude Opus 4.5

Closed Source Model](https://modelslab.com/models/open_router/anthropic-claude-opus-4.5)

[DV](https://modelslab.com/models/together_ai/deepseek-ai-DeepSeek-V3.2-Exp)[Together AI](https://modelslab.com/models/together_ai)

 [Deepseek V3.2 Exp

Closed Source Model](https://modelslab.com/models/together_ai/deepseek-ai-DeepSeek-V3.2-Exp)

[XM](https://modelslab.com/models/open_router/xiaomi-mimo-v2.5)[Open Router](https://modelslab.com/models/open_router)

 [Xiaomi: MiMo-V2.5

Closed Source Model](https://modelslab.com/models/open_router/xiaomi-mimo-v2.5)

[NH](https://modelslab.com/models/open_router/nousresearch-hermes-3-llama-3.1-70b)[Open Router](https://modelslab.com/models/open_router)

 [Nous: Hermes 3 70B Instruct

Closed Source Model](https://modelslab.com/models/open_router/nousresearch-hermes-3-llama-3.1-70b)

[QC](https://modelslab.com/models/together_ai/Qwen-Qwen3-Coder-Next-FP8)[Together AI](https://modelslab.com/models/together_ai)

 [Qwen3 Coder Next Fp8

Closed Source Model](https://modelslab.com/models/together_ai/Qwen-Qwen3-Coder-Next-FP8)

[G3](https://modelslab.com/models/together_ai/google-gemma-3-270m-it)[Together AI](https://modelslab.com/models/together_ai)

 [Gemma 3 270M It

Closed Source Model](https://modelslab.com/models/together_ai/google-gemma-3-270m-it)

[L3](https://modelslab.com/models/together_ai/meta-llama-Llama-3.1-405B)[Together AI](https://modelslab.com/models/together_ai)

 [Llama 3.1 405B

Closed Source Model](https://modelslab.com/models/together_ai/meta-llama-Llama-3.1-405B)

[CV](https://modelslab.com/models/together_ai/deepcogito-cogito-v1-preview-llama-70B)[Together AI](https://modelslab.com/models/together_ai)

 [Cogito V1 Preview Llama 70B

Closed Source Model](https://modelslab.com/models/together_ai/deepcogito-cogito-v1-preview-llama-70B)

[QQ](https://modelslab.com/models/open_router/qwen-qwen-2.5-7b-instruct)[Open Router](https://modelslab.com/models/open_router)

 [Qwen: Qwen2.5 7B Instruct

Closed Source Model](https://modelslab.com/models/open_router/qwen-qwen-2.5-7b-instruct)

About Qwen: Qwen3.5 Plus 2026-04-20
---

Qwen3.5 Plus (April 2026) is a large-scale multimodal language model from Alibaba. It accepts text, image, and video input and produces text output, with a 1M token context window. This...

### Technical Specifications

Model IDqwen-qwen3.5-plus-20260420CategoryLLM ModelsTaskText GenerationPrice$1.400000 per million tokensAddedApril 27, 2026

### Key Features

- Chat completion and multi-turn conversation API
- Streaming response with token-by-token output
- Function calling and tool use support
- System prompts and role-based messaging
- JSON mode and structured output

### Quick Start

Integrate Qwen: Qwen3.5 Plus 2026-04-20 into your application with a single API call. Get your API key from the [pricing page](https://modelslab.com/pricing) to get started.

PythonJavaScriptcURLPHP

```
<code>import requests
import json

url = "https://modelslab.com/api/v7/llm/chat/completions"

headers = {
    "Content-Type": "application/json"
}

data = {
        "model_id": "qwen-qwen3.5-plus-20260420",
        "messages": [
            {
                "role": "user",
                "content": "Hello!"
            }
        ],
        "max_tokens": 1000,
        "key": "YOUR_API_KEY"
    }

try:
    response = requests.post(url, headers=headers, json=data)
    response.raise_for_status()  # Raises an HTTPError for bad responses (4XX or 5XX)
    result = response.json()
    print("API Response:")
    print(json.dumps(result, indent=2))
except requests.exceptions.HTTPError as http_err:
    print(f"HTTP error occurred: {http_err} - {response.text}")
except Exception as err:
    print(f"Other error occurred: {err}")</code>
```

View the [full API documentation](https://modelslab.com/models/qwen/qwen-qwen3.5-plus-20260420/api) for SDKs, code examples in Python, JavaScript, and more.

### Pricing

Qwen: Qwen3.5 Plus 2026-04-20 API costs $1.400000 per million tokens. Pay only for what you use with no minimum commitments. [View pricing plans](https://modelslab.com/pricing)

### Use Cases

- AI chatbots and virtual assistants
- Code generation and developer tools
- Content writing and copywriting automation
- Data analysis, summarization, and extraction

[Browse LLM Models](https://modelslab.com/models?feature=llmaster) [More from Qwen](https://modelslab.com/models/open_router) [View Pricing](https://modelslab.com/pricing)

Qwen: Qwen3.5 Plus 2026-04-20 FAQ
---

### What is Qwen: Qwen3.5 Plus 2026-04-20?

Qwen3.5 Plus (April 2026) is a large-scale multimodal language model from Alibaba. It accepts text, image, and video input and produces text output, with a 1M token context window. This...

### How do I use the Qwen: Qwen3.5 Plus 2026-04-20 API?

You can integrate Qwen: Qwen3.5 Plus 2026-04-20 into your application with a single API call. Sign up on ModelsLab to get your API key, then use the model ID "qwen-qwen3.5-plus-20260420" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation.

### How much does Qwen: Qwen3.5 Plus 2026-04-20 cost?

Qwen: Qwen3.5 Plus 2026-04-20 costs $1.400000 per million tokens. ModelsLab uses pay-per-use pricing with no minimum commitments. A free tier is available to get started.

### What is the Qwen: Qwen3.5 Plus 2026-04-20 model ID?

The model ID for Qwen: Qwen3.5 Plus 2026-04-20 is "qwen-qwen3.5-plus-20260420". Use this ID in your API requests to specify this model.

### Does Qwen: Qwen3.5 Plus 2026-04-20 have a free tier?

Yes, ModelsLab offers a free tier that lets you try Qwen: Qwen3.5 Plus 2026-04-20 and other AI models. Sign up to get free API credits and start building immediately.

---

*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)

---
*Generated by ModelsLab - 2026-04-28*