qwen3-vl-235b-a22b-instruct
Qwen3-VL-235B-A22B Instruct is an open-weight multimodal model that unifies strong text generation with visual understanding across images and video, for VQA, document parsing and chart or table reading.
Pricing: Input 42 credits / 1M tokens (≈ $0.21), Output 380 credits / 1M tokens (≈ $1.90).
Prices updated
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Qwen3 VL 235B A22B Instruct API on ModelFold
Qwen3-VL-235B-A22B Instruct is an open-weight multimodal model that unifies strong text generation with visual understanding across images and video, for VQA, document parsing and chart or table reading. Try Qwen3 VL 235B A22B Instruct in the ModelFold Playground, then call it from your own code through an OpenAI-compatible chat completions API.
What Is the Qwen3 VL 235B A22B Instruct API
Qwen3 VL 235B A22B Instruct at a glance
Qwen3 VL 235B A22B Instruct 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 235B A22B Instruct 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 235B A22B Instruct
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 235B A22B Instruct accepts images as input, so a single request can combine instructions with visual or other media.
Function calling
Qwen3 VL 235B A22B Instruct 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.
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 235B A22B Instruct 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 235B A22B Instruct 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-235b-a22b-instruct" and your messages. Existing OpenAI-compatible SDKs work by changing the base URL and key.
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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 235B A22B Instruct
Screenshot and image understanding
Read screenshots, charts, diagrams and photos alongside text — for UI review, visual QA or turning images into structured data.
Long-document workflows
Feed in long reports, contracts, manuals or codebases and ask for summaries, comparisons and answers grounded in the material.
Audio and video analysis
Summarize recordings, meetings and video clips, extract key points and answer questions about their content.
Autonomous agents
Build agents that plan multi-step tasks, call your tools and APIs, and keep working toward a goal across long sessions.
Frequently Asked Questions
What is Qwen3 VL 235B A22B Instruct?⌄
Qwen3-VL-235B-A22B Instruct is an open-weight multimodal model that unifies strong text generation with visual understanding across images and video, for VQA, document parsing and chart or table reading.
Which inputs does Qwen3 VL 235B A22B Instruct support?⌄
Qwen3 VL 235B A22B Instruct 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 235B A22B Instruct?⌄
Up to 262K tokens, shared between your input and the model’s output.
Does Qwen3 VL 235B A22B Instruct support function calling?⌄
Yes. Qwen3 VL 235B A22B Instruct supports tools / function calling through the standard tools parameter of the chat completions API.
How is Qwen3 VL 235B A22B Instruct 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 235B A22B Instruct through the API?⌄
Send a POST request to https://modelfold.ai/v1/chat/completions with "model": "qwen3-vl-235b-a22b-instruct", using your ModelFold API key as the Bearer token.
| Input | 42 credits 1M tokens≈ $0.21 |
| Output | 380 credits 1M tokens≈ $1.90 |
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-235b-a22b-instruct","messages":[{"role":"user","content":"Hello"}]}'