qwen3-vl-30b-a3b-thinking
Qwen3-VL-30B-A3B-Thinking unifies text generation with visual understanding of images and videos. The Thinking variant strengthens reasoning for STEM, math and other complex tasks.
Pricing: Input 69.6 credits / 1M tokens (≈ $0.35), Output 240 credits / 1M tokens (≈ $1.20).
Prices updated
How can I help you today?
This demo page does not include the full memory features of the client. For the complete experience, please use the client or the CLI.
More AI models from Qwen
Latest and popular AI models
Qwen3 VL 30B A3B Thinking API on ModelFold
Qwen3-VL-30B-A3B-Thinking unifies text generation with visual understanding of images and videos. The Thinking variant strengthens reasoning for STEM, math and other complex tasks. Try Qwen3 VL 30B A3B Thinking in the ModelFold Playground, then call it from your own code through an OpenAI-compatible chat completions API.
What Is the Qwen3 VL 30B A3B Thinking API
Qwen3 VL 30B A3B Thinking at a glance
Qwen3 VL 30B A3B Thinking is a chat model from Qwen. It accepts text and images as input and returns text, with a context window of up to 262K tokens.
Use it without hosting anything
On ModelFold you call Qwen3 VL 30B A3B Thinking with a single API key — no model weights to download and no inference servers to run. The same key also works for the other chat, image, video and audio models on ModelFold.
Core Capabilities of Qwen3 VL 30B A3B Thinking
Up to 262K tokens of context
Keep long conversations, large documents and sizeable code in a single request, so the model can reason over the full material instead of fragments.
Understands images
Besides text, Qwen3 VL 30B A3B Thinking accepts images as input, so a single request can combine instructions with visual or other media.
Function calling
Qwen3 VL 30B A3B Thinking supports tool (function) calling: describe your functions in the request and the model returns structured calls your code can run — the basis for agents and integrations.
Reasoning mode
Qwen3 VL 30B A3B Thinking can produce reasoning before its final answer; in the Playground you can switch reasoning on or off to compare results.
Structured outputs
Ask for JSON that follows a schema (response_format), which makes extraction, classification and system integrations more reliable.
How to Use Qwen3 VL 30B A3B Thinking on ModelFold
- 1
Step 1: Try it in the Playground
Open the Playground at the top of this page, type a prompt and see how Qwen3 VL 30B A3B Thinking responds before writing any code.
- 2
Step 2: Create an API key
Sign in to ModelFold and create an API key in the console. Keep it secret and send it as a Bearer token.
- 3
Step 3: Send a request
Call POST https://modelfold.ai/v1/chat/completions with "model": "qwen3-vl-30b-a3b-thinking" and your messages. Existing OpenAI-compatible SDKs work by changing the base URL and key.
- ✓
Step 4: Ship and monitor
Integrate the response into your product and check token usage and spend for every call in the console logs.
What You Can Build with Qwen3 VL 30B A3B Thinking
Screenshot and image understanding
Read screenshots, charts, diagrams and photos alongside text — for UI review, visual QA or turning images into structured data.
Analysis and complex reasoning
Work through research questions, data interpretation, planning and other problems that need careful step-by-step reasoning.
Audio and video analysis
Summarize recordings, meetings and video clips, extract key points and answer questions about their content.
Tool-calling backends
Route requests, call functions and chain API calls as the worker model inside larger agent systems.
Frequently Asked Questions
What is Qwen3 VL 30B A3B Thinking?⌄
Qwen3-VL-30B-A3B-Thinking unifies text generation with visual understanding of images and videos. The Thinking variant strengthens reasoning for STEM, math and other complex tasks.
Which inputs does Qwen3 VL 30B A3B Thinking support?⌄
Qwen3 VL 30B A3B Thinking accepts text and images and returns text. Through ModelFold you can send text and images (OpenAI-style image_url content); in the Playground you can also attach documents, which are converted to text.
How long is the context window of Qwen3 VL 30B A3B Thinking?⌄
Up to 262K tokens, shared between your input and the model’s output.
Does Qwen3 VL 30B A3B Thinking support function calling?⌄
Yes. Qwen3 VL 30B A3B Thinking supports tools / function calling through the standard tools parameter of the chat completions API.
How is Qwen3 VL 30B A3B Thinking billed on ModelFold?⌄
Pay as you go by tokens: input and output tokens are charged at the per-million-token prices shown on this page. There is no monthly fee, and failed requests are not charged.
How do I call Qwen3 VL 30B A3B Thinking through the API?⌄
Send a POST request to https://modelfold.ai/v1/chat/completions with "model": "qwen3-vl-30b-a3b-thinking", using your ModelFold API key as the Bearer token.
| Input | 69.6 credits 1M tokens≈ $0.35 |
| Output | 240 credits 1M tokens≈ $1.20 |
Billed per token: input and output are priced separately, and thinking tokens count as output. The Playground charges exactly the same way.
Read API docs →AI Agents · Claude Code / Cursor / Trae →curl https://modelfold.ai/v1/chat/completions \
-H "Authorization: Bearer $MODELFOLD_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"qwen3-vl-30b-a3b-thinking","messages":[{"role":"user","content":"Hello"}]}'