# Anubis 70B V1 API

Meta's Anubis 70B V1, 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 anubis-70b-v1 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: anubis-70b-v1
- Maker: Meta
- Context window: 65.5K tokens
- Input price: $0.310 per million tokens
- Output price: $0.310 per million tokens
- Providers: 1 independent provider
- Regions: us

## Providers

- [Architect](https://liquidinference.ai/providers/805445a7-0e40-4c1b-9baf-7b3b01e30e42.md): us, $0.310 input and $0.310 output per million tokens, $0.310 cache read per million tokens, 65.5K 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": "anubis-70b-v1",
    "messages": [{"role":"user","content":"Say hello."}]
  }'
```

## Questions

### What is Anubis 70B V1?

Anubis 70B V1 is a model from Meta.

### How much does Anubis 70B V1 cost?

Offers now ask $0.310 per million input tokens and $0.310 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 Anubis 70B V1?

The largest offer takes 65,536 input tokens. A smaller offer can take less. The exchange skips an offer that cannot take your message.

### What can Anubis 70B V1 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 Anubis 70B V1 support?

Text → Text.

### Which providers serve Anubis 70B V1?

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 Anubis 70B V1?

Send "anubis-70b-v1" as the model in an OpenAI or Anthropic request. The API section links to setup steps for each client.

### When was Anubis 70B V1 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/anubis-70b-v1)
- [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/anubis-70b-v1)
- [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)