---
title: Qwen: Qwen3 VL 235B A22B Thinking | Text Generation | ModelsLab
description: **235B MoE LLM (22B active) with 262K context, FP8 precision, 56 t/s speed for multimodal reasoning, visual agents, OCR in 32 languages, video.
url: https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/qwen/qwen-qwen3-vl-235b-a22b-thinking/api.md
canonical: https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/qwen/qwen-qwen3-vl-235b-a22b-thinking/api.md
type: product
component: Playground/LLM/Index
generated_at: 2026-05-13T09:46:18.260104Z
---

Qwen: Qwen3 VL 235B A22B Thinking
---

 [LLMs.txt](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/qwen-qwen3-vl-235b-a22b-thinking/llms.txt) [.md](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/qwen/qwen-qwen3-vl-235b-a22b-thinking.md)

qwen-qwen3-vl-235b-a22b-thinking qwen Closed Source Model $1.430000 / call

Qwen: Qwen3 VL 235B A22B Thinking
---

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 VL 235B A22B Thinking

qwen qwen-qwen3-vl-235b-a22b-thinking

Copy model ID

PricingInput $0.26 / 1M tokens

Output $2.60 / 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-frontend-v2-927501783998.us-east4.run.app/models?feature=llmaster)

[MM](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/minimax-minimax-m2.1)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [MiniMax: MiniMax M2.1

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/minimax-minimax-m2.1)

[OG](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/openai-gpt-latest)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [OpenAI GPT Latest

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/openai-gpt-latest)

[BS](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/bytedance-seed-seed-2.0-lite)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [ByteDance Seed: Seed-2.0-Lite

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/bytedance-seed-seed-2.0-lite)

[NA](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/nex-agi-deepseek-v3.1-nex-n1)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [Nex AGI: DeepSeek V3.1 Nex N1

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/nex-agi-deepseek-v3.1-nex-n1)

[MP](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/microsoft-phi-4)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [Microsoft: Phi 4

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/microsoft-phi-4)

[Q7](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/Qwen-Qwen2.5-72B-Instruct-Turbo)[Together AI](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai)

 [Qwen2.5 72B Instruct Turbo

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/Qwen-Qwen2.5-72B-Instruct-Turbo)

[MK](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/moonshotai-kimi-k2.6)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [MoonshotAI: Kimi K2.6

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/moonshotai-kimi-k2.6)

[MM](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/minimax-minimax-m1)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [MiniMax: MiniMax M1

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/minimax-minimax-m1)

[ML](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/meta/meta-llama-Llama-3.3-70B-Instruct-Turbo)[ModelsLab](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/meta)

 [Meta Llama 3.3 70B Instruct Turbo

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/meta/meta-llama-Llama-3.3-70B-Instruct-Turbo)

[NH](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/nous_research/NousResearch-Nous-Hermes-2-Mixtral-8x7B-DPO)[ModelsLab](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/nous_research)

 [Nous Hermes 2 Mixtral 8X7B Dpo

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/nous_research/NousResearch-Nous-Hermes-2-Mixtral-8x7B-DPO)

[GG](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/google-gemma-3-4b-it)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [Google: Gemma 3 4B

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/google-gemma-3-4b-it)

[AC](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/anthropic-claude-sonnet-4)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [Anthropic: Claude Sonnet 4

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/anthropic-claude-sonnet-4)

[ML](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/meta-llama-llama-3.2-1b-instruct)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [Meta: Llama 3.2 1B Instruct

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/meta-llama-llama-3.2-1b-instruct)

[AA](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/aion-labs-aion-2.0)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [AionLabs: Aion-2.0

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/aion-labs-aion-2.0)

[ML](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/meta-llama-llama-4-scout)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [Meta: Llama 4 Scout

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/meta-llama-llama-4-scout)

[MM](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/mistralai-mistral-medium-3)[Open Router](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router)

 [Mistral: Mistral Medium 3

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/mistralai-mistral-medium-3)

[QV](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/Qwen-Qwen3-VL-235B-A22B-Instruct-FP8)[Together AI](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai)

 [Qwen3-VL-235B-A22B-Instruct-FP8

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/Qwen-Qwen3-VL-235B-A22B-Instruct-FP8)

[G4](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/google-gemma-4-E4B-it)[Together AI](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai)

 [Gemma 4 E4B-it

Closed Source Model](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/together_ai/google-gemma-4-E4B-it)

About Qwen: Qwen3 VL 235B A22B Thinking
---

Qwen3-VL-235B-A22B Thinking is a multimodal model that unifies strong text generation with visual understanding across images and video. The Thinking model is optimized for multimodal reasoning in STEM and math....

### Technical Specifications

Model IDqwen-qwen3-vl-235b-a22b-thinkingCategoryLLM ModelsTaskText GenerationPrice$1.430000 per million tokensAddedFebruary 20, 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 VL 235B A22B Thinking into your application with a single API call. Get your API key from the [pricing page](https://modelslab-frontend-v2-927501783998.us-east4.run.app/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-vl-235b-a22b-thinking",
        "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-frontend-v2-927501783998.us-east4.run.app/models/qwen/qwen-qwen3-vl-235b-a22b-thinking/api) for SDKs, code examples in Python, JavaScript, and more.

### Pricing

Qwen: Qwen3 VL 235B A22B Thinking API costs $1.430000 per million tokens. Pay only for what you use with no minimum commitments. [View pricing plans](https://modelslab-frontend-v2-927501783998.us-east4.run.app/pricing)

### Use Cases

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

[Learn more about Qwen: Qwen3 VL 235B A22B Thinking](https://modelslab-frontend-v2-927501783998.us-east4.run.app/qwen-qwen3-vl-235b-a22b-thinking) [Browse LLM Models](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models?feature=llmaster) [More from Qwen](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [View Pricing](https://modelslab-frontend-v2-927501783998.us-east4.run.app/pricing)

Qwen: Qwen3 VL 235B A22B Thinking FAQ
---

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

Qwen3-VL-235B-A22B Thinking is a multimodal model that unifies strong text generation with visual understanding across images and video. The Thinking model is optimized for multimodal reasoning in STEM and math....

### How do I use the Qwen: Qwen3 VL 235B A22B Thinking API?

You can integrate Qwen: Qwen3 VL 235B A22B Thinking into your application with a single API call. Sign up on ModelsLab to get your API key, then use the model ID "qwen-qwen3-vl-235b-a22b-thinking" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation.

### How much does Qwen: Qwen3 VL 235B A22B Thinking cost?

Qwen: Qwen3 VL 235B A22B Thinking costs $1.430000 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 VL 235B A22B Thinking model ID?

The model ID for Qwen: Qwen3 VL 235B A22B Thinking is "qwen-qwen3-vl-235b-a22b-thinking". Use this ID in your API requests to specify this model.

### Does Qwen: Qwen3 VL 235B A22B Thinking have a free tier?

Yes, ModelsLab offers a free tier that lets you try Qwen: Qwen3 VL 235B A22B Thinking 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 - 2026-05-13*