ling-3-0-flash-vl
Ling 3.0 Flash VL builds on Ling 3.0 Flash, inclusionAI’s 124B-total, 5.5B-active MoE model, strengthening its language skills and adding native visual perception and visual reasoning.
Pricing: Input 12 credits / 1M tokens (≈ $0.06), Output 36 credits / 1M tokens (≈ $0.18).
Prices updated
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Ling 3.0 Flash VL API on ModelFold
Ling 3.0 Flash VL builds on Ling 3.0 Flash, inclusionAI’s 124B-total, 5.5B-active MoE model, strengthening its language skills and adding native visual perception and visual reasoning. Try Ling 3.0 Flash VL in the ModelFold Playground, then call it from your own code through an OpenAI-compatible chat completions API.
What Is the Ling 3.0 Flash VL API
Ling 3.0 Flash VL at a glance
Ling 3.0 Flash VL is a chat model from inclusionAI. It accepts text, images and video as input and returns text, with a context window of up to 131K tokens.
Use it without hosting anything
On ModelFold you call Ling 3.0 Flash VL 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 Ling 3.0 Flash VL
Up to 131K 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 and video
Besides text, Ling 3.0 Flash VL accepts images and video as input, so a single request can combine instructions with visual or other media.
Function calling
Ling 3.0 Flash VL 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
Ling 3.0 Flash VL 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 Ling 3.0 Flash VL 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 Ling 3.0 Flash VL 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": "ling-3-0-flash-vl" 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 Ling 3.0 Flash VL
Screenshot and image understanding
Read screenshots, charts, diagrams and photos alongside text — for UI review, visual QA or turning images into structured data.
High-volume pipelines
Run classification, extraction, rewriting and batch jobs at scale where cost per request matters.
Autonomous agents
Build agents that plan multi-step tasks, call your tools and APIs, and keep working toward a goal across long sessions.
Audio and video analysis
Summarize recordings, meetings and video clips, extract key points and answer questions about their content.
Frequently Asked Questions
What is Ling 3.0 Flash VL?⌄
Ling 3.0 Flash VL builds on Ling 3.0 Flash, inclusionAI’s 124B-total, 5.5B-active MoE model, strengthening its language skills and adding native visual perception and visual reasoning.
Which inputs does Ling 3.0 Flash VL support?⌄
Ling 3.0 Flash VL accepts text, images and video 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 Ling 3.0 Flash VL?⌄
Up to 131K tokens, shared between your input and the model’s output.
Does Ling 3.0 Flash VL support function calling?⌄
Yes. Ling 3.0 Flash VL supports tools / function calling through the standard tools parameter of the chat completions API.
How is Ling 3.0 Flash VL 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 Ling 3.0 Flash VL through the API?⌄
Send a POST request to https://modelfold.ai/v1/chat/completions with "model": "ling-3-0-flash-vl", using your ModelFold API key as the Bearer token.
| Input | 12 credits 1M tokens≈ $0.06 |
| Output | 36 credits 1M tokens≈ $0.18 |
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":"ling-3-0-flash-vl","messages":[{"role":"user","content":"Hello"}]}'