Run Gemma 4 31B Mero Artemis v0.3.1 without a GPU.
Roleplay by Google (community tune), on UncensoredLLM as gemma-4-31b-mero-artemis-v0.3.1.
Gemma 4 31B Mero Artemis v0.3.1 is a roleplay model of Gemma 4 31B. It costs $1.12 per million input tokens and $1.12 per million output tokens, prepaid, with a 262,144-token context window. Call it at https://api.uncensoredllm.ai/v1/chat/completions with model "gemma-4-31b-mero-artemis-v0.3.1" and an UncensoredLLM key, from any OpenAI SDK or client that takes a base URL.
Price per million tokens
- Input
- $1.12
- Output
- $1.12
- Daily check
- Not checked yet
- As of
- 2026-11-09
First request
curl https://api.uncensoredllm.ai/v1/chat/completions \ -H "Authorization: Bearer sk-ullm-live-…" \ -H "Content-Type: application/json" \ -d '{"model": "gemma-4-31b-mero-artemis-v0.3.1", "messages": [{"role": "user", "content": "Hello"}]}'Gemma 4 31B Mero Artemis v0.3.1 settings for SillyTavern and Janitor AI
- SillyTavern API
- Chat Completion
- Source
- Custom (OpenAI-compatible)
- Custom endpoint
- https://api.uncensoredllm.ai/v1
- Model
- gemma-4-31b-mero-artemis-v0.3.1
- Context Size
- 262,144 tokens
- Janitor AI proxy URL
- https://api.uncensoredllm.ai/v1/chat/completions
- Key prefix
- sk-ullm-
Gemma 4 31B Mero Artemis v0.3.1 specs
- Kind
- Roleplay
- Developer
- Google (community tune)
- Base model
- Gemma 4 31B
- Context window
- 262,144 tokens
- Input
- text and image
- Wire formats
- openai
Get a key
- Create a key in the console. Credit is prepaid from $10, with no subscription.
- Set OPENAI_BASE_URL to https://api.uncensoredllm.ai/v1 and send your sk-ullm- key as the bearer token.
- Send gemma-4-31b-mero-artemis-v0.3.1 as the model. The same key calls every model on UncensoredLLM.
What Gemma 4 31B Mero Artemis v0.3.1 is
- Developer
- Google (community tune)
- Weights
- not published for this build
- Context window here
- 262,144 tokens
- Input
- text and image
From the SDK
from openai import OpenAI client = OpenAI(base_url="https://api.uncensoredllm.ai/v1", api_key="sk-ullm-live-…") completion = client.chat.completions.create( model="gemma-4-31b-mero-artemis-v0.3.1", messages=[{"role": "user", "content": "Hello"}],)print(completion.choices[0].message.content)import OpenAI from 'openai'; const client = new OpenAI({ baseURL: 'https://api.uncensoredllm.ai/v1', apiKey: 'sk-ullm-live-…' }); const completion = await client.chat.completions.create({ model: 'gemma-4-31b-mero-artemis-v0.3.1', messages: [{ role: 'user', content: 'Hello' }],});console.log(completion.choices[0].message.content);What Gemma 4 31B Mero Artemis v0.3.1 is built to write
Gemma 4 31B Mero Artemis v0.3.1 is a fiction fine-tune: trained on long-form stories and character dialogue, it holds a character's voice, follows a scenario and writes at length without the stock refusal layer.
Every request is routed to the build’s live route and settled to the token at the prices above. The daily real-model check sends a fixed prompt to every model and records whether the answer still matches; this model’s verdict today is “Not checked yet”.
Use it from the OpenAI SDK, from SillyTavern or Janitor, or from a coding agent. Keys and top-ups live in the console.
More from Google (community tune)
What Gemma 4 31B Mero Artemis v0.3.1 costs, worked
A chat turn of 2,000 input and 500 output tokens at $1.12 input and $1.12 output per million tokens is $0.0028; 1,000 turns are $2.80. A long chat session of 100 replies of 300 tokens costs $0.4816 at 4,000 tokens of context and $1.8256 at 16,000: every message resends the context, so size it to what the chat needs. All from prepaid credit, no subscription.
| Roleplay builds | Context | In / out per 1M | 1,000 chat turns |
|---|---|---|---|
| Manta Flash 1.0 | 16K | $0.07 / $0.56 | $0.42 |
| Manta Mini 1.0 | 8K | $0.07 / $0.56 | $0.42 |
| Gemma 4 12B Starry Ocean | 131K | $0.175 / $0.875 | $0.79 |
| Gemma 4 12B StationKeeper | 131K | $0.175 / $0.875 | $0.79 |
| Magidonia 24B v4.3 | 33K | $0.3535 / $0.4235 | $0.92 |
| MythoMax L2 13B | 4K | $0.404 / $0.404 | $1.01 |
| Cydonia 24B v2 | 33K | $0.4012 / $0.4828 | $1.04 |
| Gemma 4 31B Split-Untied | 262K | $0.35 / $1.05 | $1.23 |
| Cydonia 24B v4.3 | 131K | $0.484 / $0.60 | $1.27 |
| Manta Pro 1.0 | 66K | $0.21 / $1.75 | $1.30 |
| Artemis v1.1 | 262K | $0.35 / $1.575 | $1.49 |
| Gemma 4 31B Gembrain | 262K | $0.35 / $1.575 | $1.49 |
| Gemma 4 31B Isometry | 262K | $0.35 / $1.575 | $1.49 |
| Anubis 70B v1.1 | 32K | $1.085 / $1.085 | $2.71 |
| Gemma 4 31B Mero Artemis v0.3.1 | 262K | $1.12 / $1.12 | $2.80 |
| Gemma 4 31B Dark Gemistry | 262K | $1.224 / $1.224 | $3.06 |
Gemma 4 31B Mero Artemis v0.3.1 in SillyTavern and Janitor AI: what to set
The three fields are the base URL, the key and the model id, as in the settings above. What differs by build is the reply length, the reasoning switch and the context size, and those decide both whether a reply arrives whole and what each message costs.
- Context Size up to 262,144 tokens, the window the catalog lists for gemma-4-31b-mero-artemis-v0.3.1. Every message resends the context, so set it to what the chat needs rather than the maximum.
- A fiction tune answers at once, with no reasoning step: a Max Response Length of 300 to 600 tokens fits a chat reply.
A request that fails before the model answers is not billed. A refusal written as ordinary text is billed like any answer, which is the reason to send this build rather than a stock model with a preamble.
What Gemma 4 31B Mero Artemis v0.3.1 costs by client
| Session | What is sent | At the live price |
|---|---|---|
| SillyTavern or Janitor AI, one evening | 100 replies of 300 tokens on 4,000 tokens of context | $0.4816 |
| The same evening on a long chat | 100 replies of 300 tokens on 16,000 tokens of context | $1.8256 |
| A month of short turns | 1,000 turns of 2,000 input and 500 output tokens | $2.80 |
| One long document, summarised once | 100,000 input and 1,000 output tokens in one request | $0.1131 |
Gemma 4 31B Mero Artemis v0.3.1 questions
Gemma 4 31B Mero Artemis v0.3.1 is a roleplay build of Gemma 4 31B from Google (community tune), with a 262,144-token context window, taking text and image input. On UncensoredLLM it answers as gemma-4-31b-mero-artemis-v0.3.1.
No. Credit is prepaid from $10 and billed per token: input $1.12 and output $1.12 per million tokens.
About $0.0017 for 1,000 tokens in and 500 tokens out, at $1.12 in and $1.12 out per million tokens.
Up to 262,144 tokens, the context window the catalog lists for Gemma 4 31B Mero Artemis v0.3.1.
Yes. Send gemma-4-31b-mero-artemis-v0.3.1 as the model through the OpenAI SDK, or any client that takes a custom OpenAI base URL, with base URL https://api.uncensoredllm.ai/v1.
In SillyTavern, set API to Chat Completion, Source to Custom (OpenAI-compatible) and the custom endpoint to https://api.uncensoredllm.ai/v1, paste your key, then pick gemma-4-31b-mero-artemis-v0.3.1 from the list it loads. In Janitor AI, choose Proxy, set the URL to https://api.uncensoredllm.ai/v1/chat/completions, paste your key and type gemma-4-31b-mero-artemis-v0.3.1 as the model. See the docs.
Gemma 4 31B Mero Artemis v0.3.1 is named for Gemma 4 31B, from Google (community tune). No weights, parameter count or training notes are published for this build. The catalog lists a 262,144-token context window.
$0.28 for 100 chat turns of 2,000 input and 500 output tokens each, at $1.12 input and $1.12 output per million tokens, from prepaid credit with no subscription.
Yes, with the settings above: Chat Completion with a Custom (OpenAI-compatible) source and https://api.uncensoredllm.ai/v1 as the endpoint in SillyTavern; the proxy URL https://api.uncensoredllm.ai/v1/chat/completions and gemma-4-31b-mero-artemis-v0.3.1 as the model in Janitor AI. See the SillyTavern guide.