# Gemma 4 12B It Semancer API

Google's Gemma 4 12B It Semancer, 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 gemma-4-12b-it-semancer 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: gemma-4-12b-it-semancer
- Maker: Google
- Context window: 131.1K tokens
- Input price: $0.050 per million tokens
- Output price: $0.250 per million tokens
- Providers: 1 independent provider
- Regions: us

## Providers

- [Architect](https://liquidinference.ai/providers/805445a7-0e40-4c1b-9baf-7b3b01e30e42.md): us, $0.050 input and $0.250 output per million tokens, $0.025 cache read per million tokens, 131.1K tokens of context

## Scores

- HLE: 15.7, #132 of 273
- GPQA: 75.3, #128 of 250
- AA-LCR: 63.7, #137 of 237
- Terminal-Bench Hard: 18.2, #97 of 166
- τ²-Bench: 36.3, #120 of 169
- IFBench: 73.5, #25 of 178
- SimpleQA Verified: 10.4, #121 of 126

Scores: Artificial Analysis (https://artificialanalysis.ai/)

Scores: Epoch AI, 'Capabilities & Benchmarking' (https://epoch.ai/benchmarks)

## Request

```sh
curl https://router.inference.ai.exchange/v1/chat/completions \
  -H "Authorization: Bearer $LIQUID_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gemma-4-12b-it-semancer",
    "messages": [{"role":"user","content":"Say hello."}]
  }'
```

## Questions

### What is Gemma 4 12B It Semancer?

Gemma 4 12B It Semancer is a model from Google.

### How much does Gemma 4 12B It Semancer cost?

Offers now ask $0.050 per million input tokens and $0.250 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 Gemma 4 12B It Semancer?

The largest offer takes 131,072 input tokens. A smaller offer can take less. The exchange skips an offer that cannot take your message.

### What can Gemma 4 12B It Semancer do?

Its providers list 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 Gemma 4 12B It Semancer support?

Text · Images → Text.

### Which providers serve Gemma 4 12B It Semancer?

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 Gemma 4 12B It Semancer?

Send "gemma-4-12b-it-semancer" as the model in an OpenAI or Anthropic request. The API section links to setup steps for each client.

### When was Gemma 4 12B It Semancer listed?

The exchange first listed it on 10/5/2026. This is not its release date.

## Related pages

- [This page in a browser](https://liquidinference.ai/models/gemma-4-12b-it-semancer)
- [Gemma 4 26B a4b It:thinking](https://liquidinference.ai/models/gemma-4-26b-a4b-it%3Athinking.md)
- [Diffusiongemma](https://liquidinference.ai/models/diffusiongemma.md)
- [Gemma 3 27B It](https://liquidinference.ai/models/gemma-3-27b-it.md)
- [Gemma 3 4B It](https://liquidinference.ai/models/gemma-3-4b-it.md)
- [Gemma 4 12B It](https://liquidinference.ai/models/gemma-4-12b-it.md)
- [Gemma 4 12B It Station Keeper](https://liquidinference.ai/models/gemma-4-12b-it-station-keeper.md)
- [Set up a client](https://liquidinference.ai/connect/gemma-4-12b-it-semancer)
- [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)