Ling 3.0 Flash VL API

inclusionAI's Ling 3.0 Flash VL, through an OpenAI-compatible API. Providers quote it on an open exchange, and each request goes to the offer with the lowest estimated charge that meets your rules.

Providers compete for each request. The exchange ranks the offers that meet your rules by estimated charge. It fixes your maximum charge before the first token, and you pay for the tokens that the model uses.
The OpenAI and Anthropic APIs. Use the OpenAI or Anthropic SDK that you have. Set the base URL and your key, and send ling-3.0-flash-vl as the model.
Your data rules. Send x-liquid-retention: none and only offers whose provider does not keep your content compete for the request.

Facts

Model name: ling-3.0-flash-vl
Maker: inclusionAI
Context window: 262.1K tokens
Input price: $0.060 per million tokens
Output price: $0.180 per million tokens
Providers: 1 independent provider
Regions: us

Providers

Architect: us, $0.060 input and $0.180 output per million tokens, $0.012 cache read per million tokens, 262.1K tokens of context

Scores

HLE: 22.0, #111 of 273
GPQA: 86.2, #65 of 250
AA-LCR: 78.3, #65 of 237
SciCode: 44.2, #83 of 123

Scores: Artificial Analysis (https://artificialanalysis.ai/)

Request

curl https://router.inference.ai.exchange/v1/chat/completions \
  -H "Authorization: Bearer $LIQUID_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "ling-3.0-flash-vl",
    "messages": [{"role":"user","content":"Say hello."}]
  }'

Questions

What is Ling 3.0 Flash VL?: Served by intent-router: each job goes to the cheapest healthy upstream for this model.
How much does Ling 3.0 Flash VL cost?: Offers now ask $0.060 per million input tokens and $0.180 per million output tokens. A job pays for the tokens it uses. The exchange picks the cheapest eligible offer.
What is the context length of Ling 3.0 Flash VL?: The largest offer takes 262,144 input tokens. A smaller offer can take less. The exchange skips an offer that cannot take your message.
What can Ling 3.0 Flash VL do?: Its providers list Vision, Reasoning effort, JSON object, JSON schema, Frequency penalty, Logit bias, Log probabilities, Min-p sampling, Presence penalty, Repetition penalty, Seed, Stop sequences, Top-k sampling, Top-p sampling, Text, Tools.
What inputs and outputs does Ling 3.0 Flash VL support?: Text · Images → Text.
Which providers serve Ling 3.0 Flash VL?: 1 independent provider quote it now, with 1 offer. The table above ranks them by the cost of a typical job.
How do I call Ling 3.0 Flash VL?: Send "ling-3.0-flash-vl" as the model in an OpenAI or Anthropic request. The API section links to setup steps for each client.
When was Ling 3.0 Flash VL listed?: The exchange first listed it on 10/8/2026. This is not its release date.