import requests r = requests.post( "https://api.aimlapi.com/v1/chat/completions", headers={"Authorization": "Bearer " + AIMLAPI_KEY}, json={ "model": "inclusionai/ling-3.0-flash-vl", "messages": [ { "role": "user", "content": "Hello!" } ] }, ) print(r.json())
const r = await fetch("https://api.aimlapi.com/v1/chat/completions", { method: "POST", headers: { Authorization: `Bearer ${process.env.AIMLAPI_KEY}`, "Content-Type": "application/json", }, body: JSON.stringify({ "model": "inclusionai/ling-3.0-flash-vl", "messages": [ { "role": "user", "content": "Hello!" } ] }), }); console.log(await r.json());
curl -X POST https://api.aimlapi.com/v1/chat/completions \ -H "Authorization: Bearer $AIMLAPI_KEY" \ -H "Content-Type: application/json" \ -d '{"model":"inclusionai/ling-3.0-flash-vl","messages":[{"role":"user","content":"Hello!"}]}'
OpenAI-compatible — swap the base URL and it works with your existing SDK.
| Type | Price |
|---|---|
| Input | |
| Output | |
| Cached input |
| Benchmark | Score | What it measures | Source | Retrieved |
|---|---|---|---|---|
| Intelligence | 24.6 | Composite score across standardised reasoning, knowledge and problem-solving evaluations, measured independently by Artificial Analysis | Source | September 22, 2026 |
| Coding | 57 | Composite score across standardised coding evaluations, measured independently by Artificial Analysis | Source | September 22, 2026 |
| Model | Input | Output | Context | Best for |
|---|---|---|---|---|
Ling 3.0 Flash VL This page | Low-cost image and video understanding | |||
| Fast, low-cost reasoning and tool use at scale | ||||
| Finance-domain reasoning over long documents | ||||
| High-volume, zero-cost chat and reasoning tasks | ||||
| Reasoning + agents |
Ling 3.0 Flash VL is the vision-language member of inclusionAI's Ling 3.0 Flash line: a fast, low-cost chat model that accepts image, video and text input and returns text.
It keeps the Flash line's speed-oriented design and adds visual understanding. Ling 3.0 Flash takes text only; the VL variant also accepts images and video.
inclusionAI, the AI research group at Ant Group.
It takes image, video and text input and returns text.
131,072 tokens, with up to 32,768 tokens of output.
Yes, it supports function calling and structured outputs, alongside streaming responses and reasoning.
High-volume multimodal work where per-request cost matters: document and screenshot understanding, image and video captioning, tagging and moderation pipelines.
Yes. The model also answers to the alias ling-3.0-flash-vl.
Send a request to the chat completions endpoint with the model id inclusionai/ling-3.0-flash-vl. The request shape is the same as for any other chat model on AI/ML API.
