qwen2-5-vl-72b-instruct
Qwen2.5 VL 72B Instruct recognizes common objects such as flowers, birds, fish and insects, and is highly capable of analyzing text, charts, icons, graphics and layouts within images.
Pricing: Input 160 credits / 1M tokens (≈ $0.80), Output 200 credits / 1M tokens (≈ $1.00).
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
Qwen2.5 VL 72B Instruct API on ModelFold
Qwen2.5 VL 72B Instruct recognizes common objects such as flowers, birds, fish and insects, and is highly capable of analyzing text, charts, icons, graphics and layouts within images. Try Qwen2.5 VL 72B Instruct in the ModelFold Playground, then call it from your own code through an OpenAI-compatible chat completions API.
What Is the Qwen2.5 VL 72B Instruct API
Qwen2.5 VL 72B Instruct at a glance
Qwen2.5 VL 72B Instruct is a chat model from Qwen. It accepts text and images as input and returns text, with a context window of up to 128K tokens.
Use it without hosting anything
On ModelFold you call Qwen2.5 VL 72B 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 Qwen2.5 VL 72B Instruct
Up to 128K 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, Qwen2.5 VL 72B Instruct accepts images as input, so a single request can combine instructions with visual or other media.
Structured outputs
Ask for JSON that follows a schema (response_format), which makes extraction, classification and system integrations more reliable.
How to Use Qwen2.5 VL 72B 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 Qwen2.5 VL 72B 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": "qwen2-5-vl-72b-instruct" 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 Qwen2.5 VL 72B 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.
High-volume pipelines
Run classification, extraction, rewriting and batch jobs at scale where cost per request matters.
Multilingual products
Serve users in many languages with translation, localized support replies and cross-language search.
Frequently Asked Questions
What is Qwen2.5 VL 72B Instruct?⌄
Qwen2.5 VL 72B Instruct recognizes common objects such as flowers, birds, fish and insects, and is highly capable of analyzing text, charts, icons, graphics and layouts within images.
Which inputs does Qwen2.5 VL 72B Instruct support?⌄
Qwen2.5 VL 72B 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 Qwen2.5 VL 72B Instruct?⌄
Up to 128K tokens, shared between your input and the model’s output.
Does Qwen2.5 VL 72B Instruct support function calling?⌄
Function calling is not listed for Qwen2.5 VL 72B Instruct; requests that include tools will be rejected. Use plain prompts or JSON output instead.
How is Qwen2.5 VL 72B 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 Qwen2.5 VL 72B Instruct through the API?⌄
Send a POST request to https://modelfold.ai/v1/chat/completions with "model": "qwen2-5-vl-72b-instruct", using your ModelFold API key as the Bearer token.
| Input | 160 credits 1M tokens≈ $0.80 |
| Output | 200 credits 1M tokens≈ $1.00 |
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":"qwen2-5-vl-72b-instruct","messages":[{"role":"user","content":"Hello"}]}'