# L3.1 70B Hanami X1 API

Meta's L3.1 70B Hanami X1, 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 l3.1-70b-hanami-x1 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: l3.1-70b-hanami-x1
- Maker: Meta
- Context window: 32.8K tokens
- Input price: $0.493 per million tokens
- Output price: $0.493 per million tokens
- Providers: 1 independent provider
- Regions: us

## Providers

- [Architect](https://liquidinference.ai/providers/805445a7-0e40-4c1b-9baf-7b3b01e30e42.md): us, $0.493 input and $0.493 output per million tokens, $0.493 cache read per million tokens, 32.8K 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": "l3.1-70b-hanami-x1",
    "messages": [{"role":"user","content":"Say hello."}]
  }'
```

## Questions

### What is L3.1 70B Hanami X1?

L3.1 70B Hanami X1 is a model from Meta.

### How much does L3.1 70B Hanami X1 cost?

Offers now ask $0.493 per million input tokens and $0.493 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 L3.1 70B Hanami X1?

The largest offer takes 32,768 input tokens. A smaller offer can take less. The exchange skips an offer that cannot take your message.

### What can L3.1 70B Hanami X1 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 L3.1 70B Hanami X1 support?

Text → Text.

### Which providers serve L3.1 70B Hanami X1?

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 L3.1 70B Hanami X1?

Send "l3.1-70b-hanami-x1" as the model in an OpenAI or Anthropic request. The API section links to setup steps for each client.

### When was L3.1 70B Hanami X1 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/l3.1-70b-hanami-x1)
- [Llama 3.2 3B Instruct](https://liquidinference.ai/models/llama-3.2-3b-instruct.md)
- [Llama 3.1 8B Instruct](https://liquidinference.ai/models/llama-3.1-8b-instruct.md)
- [Meta: Llama 3.1 8B Instruct FP8](https://liquidinference.ai/models/meta-llama-3.1-8b-instruct-fp8.md)
- [Llama: Guard 3 8B](https://liquidinference.ai/models/llama-guard-3-8b.md)
- [Llama 3 8B Instruct](https://liquidinference.ai/models/llama3-8b-instruct.md)
- [Llama: Guard 4 12B](https://liquidinference.ai/models/llama-guard-4-12b.md)
- [Set up a client](https://liquidinference.ai/connect/l3.1-70b-hanami-x1)
- [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)