# Claude: Opus 4 1:thinking:32768 API

Anthropic's Claude: Opus 4 1:thinking:32768, 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 claude-opus-4-1:thinking:32768 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: claude-opus-4-1:thinking:32768
- Maker: Anthropic
- Context window: 200K tokens
- Input price: $14.982 per million tokens
- Output price: $74.911 per million tokens
- Providers: 1 independent provider
- Regions: us

## Providers

- [Architect](https://liquidinference.ai/providers/805445a7-0e40-4c1b-9baf-7b3b01e30e42.md): us, $14.982 input and $74.911 output per million tokens, $1.498 cache read per million tokens, 200K 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": "claude-opus-4-1:thinking:32768",
    "messages": [{"role":"user","content":"Say hello."}]
  }'
```

## Questions

### What is Claude: Opus 4 1:thinking:32768?

Claude: Opus 4 1:thinking:32768 is a model from Anthropic.

### How much does Claude: Opus 4 1:thinking:32768 cost?

Offers now ask $14.982 per million input tokens and $74.911 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 Claude: Opus 4 1:thinking:32768?

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 Claude: Opus 4 1:thinking:32768 do?

Its providers list Documents, 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 Claude: Opus 4 1:thinking:32768 support?

Text · Files · Images → Text.

### Which providers serve Claude: Opus 4 1:thinking:32768?

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 Claude: Opus 4 1:thinking:32768?

Send "claude-opus-4-1:thinking:32768" as the model in an OpenAI or Anthropic request. The API section links to setup steps for each client.

### When was Claude: Opus 4 1:thinking:32768 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/claude-opus-4-1%3Athinking%3A32768)
- [Claude: Haiku 5 5](https://liquidinference.ai/models/claude-haiku-5-5.md)
- [Claude: Haiku Latest](https://liquidinference.ai/models/claude-haiku-latest.md)
- [Claude: Haiku 4 5:thinking](https://liquidinference.ai/models/claude-haiku-4-5%3Athinking.md)
- [Claude: Haiku 4 5](https://liquidinference.ai/models/claude-haiku-4-5.md)
- [Claude: Sonnet 5:thinking](https://liquidinference.ai/models/claude-sonnet-5%3Athinking.md)
- [Claude: Sonnet 5 5](https://liquidinference.ai/models/claude-sonnet-5-5.md)
- [Set up a client](https://liquidinference.ai/connect/claude-opus-4-1%3Athinking%3A32768)
- [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)