# Ling 3.0 Flash:thinking API

inclusionAI's Ling 3.0 Flash:thinking, 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:thinking 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:thinking
- Maker: inclusionAI
- Context window: 262.1K tokens
- Input price: $0.075 per million tokens
- Output price: $0.220 per million tokens
- Providers: 1 independent provider
- Regions: us

## Providers

- [Architect](https://liquidinference.ai/providers/805445a7-0e40-4c1b-9baf-7b3b01e30e42.md): us, $0.075 input and $0.220 output per million tokens, $0.015 cache read per million tokens, 262.1K tokens of context

## Request

```sh
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:thinking",
    "messages": [{"role":"user","content":"Say hello."}]
  }'
```

## Questions

### What is Ling 3.0 Flash:thinking?

Ling 3.0 Flash:thinking is a model from inclusionAI.

### How much does Ling 3.0 Flash:thinking cost?

Offers now ask $0.075 per million input tokens and $0.220 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:thinking?

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:thinking do?

Its providers list 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:thinking support?

Text → Text.

### Which providers serve Ling 3.0 Flash:thinking?

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:thinking?

Send "ling-3.0-flash:thinking" 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:thinking listed?

The exchange first listed it on 10/10/2026. This is not its release date.

## Related pages

- [This page in a browser](https://liquidinference.ai/models/ling-3.0-flash%3Athinking)
- [Ling 3.0 Flash VL](https://liquidinference.ai/models/ling-3.0-flash-vl.md)
- [Ling 3.0 Flash Fin](https://liquidinference.ai/models/ling-3.0-flash-fin.md)
- [Ling 3.0 Flash](https://liquidinference.ai/models/ling-3.0-flash.md)
- [Ling 3.1 Flash](https://liquidinference.ai/models/ling-3.1-flash.md)
- [Set up a client](https://liquidinference.ai/connect/ling-3.0-flash%3Athinking)
- [All models](https://liquidinference.ai/models)
- [Providers](https://liquidinference.ai/providers.md)
- [Discover the best model for your budget](https://liquidinference.ai/discover)
- [Quickstart](https://liquidinference.ai/docs/quickstart.md)
- [llms.txt: the index of every page, as Markdown](https://liquidinference.ai/llms.txt)
- [llms-full.txt: every page in one file](https://liquidinference.ai/llms-full.txt)