# Inkling Small:thinking API

Thinking Machines's Inkling Small: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 inkling-small: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: inkling-small:thinking
- Maker: Thinking Machines
- Context window: 524.3K tokens
- Input price: $0.449 per million tokens
- Output price: $1.197 per million tokens
- Providers: 1 independent provider
- Regions: us

## Providers

- [Architect](https://liquidinference.ai/providers/805445a7-0e40-4c1b-9baf-7b3b01e30e42.md): us, $0.449 input and $1.197 output per million tokens, $0.100 cache read per million tokens, 524.3K 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": "inkling-small:thinking",
    "messages": [{"role":"user","content":"Say hello."}]
  }'
```

## Questions

### What is Inkling Small:thinking?

Inkling Small:thinking is a model from Thinking Machines.

### How much does Inkling Small:thinking cost?

Offers now ask $0.449 per million input tokens and $1.197 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 Inkling Small:thinking?

The largest offer takes 524,288 input tokens. A smaller offer can take less. The exchange skips an offer that cannot take your message.

### What can Inkling Small:thinking do?

Its providers list Audio input, 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 Inkling Small:thinking support?

Text · Audio · Images → Text.

### Which providers serve Inkling Small: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 Inkling Small:thinking?

Send "inkling-small:thinking" as the model in an OpenAI or Anthropic request. The API section links to setup steps for each client.

### When was Inkling Small: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/inkling-small%3Athinking)
- [Inkling Small](https://liquidinference.ai/models/inkling-small.md)
- [Inkling:thinking](https://liquidinference.ai/models/inkling%3Athinking.md)
- [Inkling](https://liquidinference.ai/models/inkling.md)
- [Set up a client](https://liquidinference.ai/connect/inkling-small%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)