# Ling 3.0 Tiny:thinking API

inclusionAI's Ling 3.0 Tiny:thinking costs $0.015 per million input tokens and $0.045 per million output tokens from 1 independent provider. Each request through the OpenAI-compatible API 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-tiny: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.

## About Ling 3.0 Tiny:thinking

Ling 3.0 Tiny:thinking is a language model from inclusionAI. It takes text and gives text. The largest offer takes 262,144 input tokens. 1 independent provider quotes it on this exchange now.

## Facts

- Model name: ling-3.0-tiny:thinking
- Maker: inclusionAI
- Context window: 262.1K tokens
- Input price: $0.015 per million tokens
- Output price: $0.045 per million tokens
- Providers: 1 independent provider
- Regions: us

## Providers

- [Architect](https://liquidinference.ai/providers/805445a7-0e40-4c1b-9baf-7b3b01e30e42.md): us, $0.015 input and $0.045 output per million tokens, $0.0030 cache read per million tokens, 262.1K tokens of context

## Scores

- HLE: 9.3, #266 of 465
- GPQA: 73.4, #242 of 432
- AA-LCR: 60.3, #222 of 409
- SciCode: 24.2, #169 of 178

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

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

## Questions

### What is Ling 3.0 Tiny:thinking?

Ling 3.0 Tiny:thinking is a language model from inclusionAI.

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

Offers now ask $0.015 per million input tokens and $0.045 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 Tiny: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 Tiny: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 Tiny:thinking support?

Text → Text.

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

Send "ling-3.0-tiny: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 Tiny:thinking listed?

The exchange first listed it on 11/11/2026. This is not its release date.

## Related pages

- [This page in a browser](https://liquidinference.ai/models/ling-3.0-tiny%3Athinking)
- [Ling 3.0 Tiny](https://liquidinference.ai/models/ling-3.0-tiny.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 3.0 Flash VL](https://liquidinference.ai/models/ling-3.0-flash-vl.md)
- [Ling 3.1 Flash](https://liquidinference.ai/models/ling-3.1-flash.md)
- [Ling 3.0 Flash:thinking](https://liquidinference.ai/models/ling-3.0-flash%3Athinking.md)
- [Set up a client](https://liquidinference.ai/connect/ling-3.0-tiny%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)