# Amoral: Gemma 3 27B V2 API

Soob3123's Amoral: Gemma 3 27B V2, 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 amoral-gemma3-27b-v2 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: amoral-gemma3-27b-v2
- Maker: Soob3123
- Context window: 32.8K tokens
- Input price: $0.301 per million tokens
- Output price: $0.301 per million tokens
- Providers: 1 independent provider
- Regions: us

## Providers

- [Architect](https://liquidinference.ai/providers/805445a7-0e40-4c1b-9baf-7b3b01e30e42.md): us, $0.301 input and $0.301 output per million tokens, $0.301 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": "amoral-gemma3-27b-v2",
    "messages": [{"role":"user","content":"Say hello."}]
  }'
```

## Questions

### What is Amoral: Gemma 3 27B V2?

Amoral: Gemma 3 27B V2 is a model from Soob3123.

### How much does Amoral: Gemma 3 27B V2 cost?

Offers now ask $0.301 per million input tokens and $0.301 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 Amoral: Gemma 3 27B V2?

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 Amoral: Gemma 3 27B V2 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 Amoral: Gemma 3 27B V2 support?

Text → Text.

### Which providers serve Amoral: Gemma 3 27B V2?

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 Amoral: Gemma 3 27B V2?

Send "amoral-gemma3-27b-v2" as the model in an OpenAI or Anthropic request. The API section links to setup steps for each client.

### When was Amoral: Gemma 3 27B V2 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/amoral-gemma3-27b-v2)
- [Grayline: Qwen 3 8B](https://liquidinference.ai/models/grayline-qwen3-8b.md)
- [Veiled: Calla 12B](https://liquidinference.ai/models/veiled-calla-12b.md)
- [Set up a client](https://liquidinference.ai/connect/amoral-gemma3-27b-v2)
- [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)