# O1 API

OpenAI's O1, 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 o1 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: o1
- Maker: OpenAI
- Context window: 200K tokens
- Input price: $15.028 per million tokens
- Output price: $60.113 per million tokens
- Providers: 1 independent provider
- Regions: us

## Providers

- [Architect](https://liquidinference.ai/providers/805445a7-0e40-4c1b-9baf-7b3b01e30e42.md): us, $15.028 input and $60.113 output per million tokens, $7.514 cache read per million tokens, 200K tokens of context

## Scores

- HLE: 7.0, #180 of 273
- GPQA: 74.7, #135 of 250
- AA-LCR: 65.0, #133 of 237
- Terminal-Bench Hard: 12.9, #116 of 166
- LiveCodeBench: 67.9, #31 of 130
- MMLU-Pro: 84.1, #21 of 133
- τ²-Bench: 62.6, #89 of 169
- IFBench: 70.3, #39 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": "o1",
    "messages": [{"role":"user","content":"Say hello."}]
  }'
```

## Questions

### What is O1?

Served by intent-router: each job goes to the cheapest healthy upstream for this model.

### How much does O1 cost?

Offers now ask $15.028 per million input tokens and $60.113 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 O1?

The largest offer takes 200,000 input tokens. A smaller offer can take less. The exchange skips an offer that cannot take your message.

### What can O1 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 O1 support?

Text → Text.

### Which providers serve O1?

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 O1?

Send "o1" as the model in an OpenAI or Anthropic request. The API section links to setup steps for each client.

### When was O1 listed?

The exchange first listed it on 10/8/2026. This is not its release date.

## Related pages

- [This page in a browser](https://liquidinference.ai/models/o1)
- [GPT: OSS 120B](https://liquidinference.ai/models/gpt-oss-120b.md)
- [GPT: OSS 20B](https://liquidinference.ai/models/gpt-oss-20b.md)
- [GPT: OSS Safeguard 20B](https://liquidinference.ai/models/gpt-oss-safeguard-20b.md)
- [GPT 5 Nano 2025 08 07](https://liquidinference.ai/models/gpt-5-nano-2025-08-07.md)
- [GPT 5 Nano](https://liquidinference.ai/models/gpt-5-nano.md)
- [GPT 4.1 Nano](https://liquidinference.ai/models/gpt-4.1-nano.md)
- [Set up a client](https://liquidinference.ai/connect/o1)
- [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)