ReMM SLERP 13B is available through the abliteratly chat-completions endpoint. Use the model ID below, keep your OpenAI-compatible client, and pay per token from a prepaid crypto balance.
| Item | USD per 1M tokens |
|---|---|
| Uncached input | $1.8 |
| Cached input | $1.8 |
| Output | $2.6 |
A request with 100,000 input tokens and 20,000 output tokens costs about $0.2320 at the current rates, before any cached-input discount. The pricing page has a calculator and the billing rules.
curl https://abliteratly.beer/v1/chat/completions \ -H "Authorization: Bearer $ABLITERATLY_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "model": "remm-slerp-l2-13b", "messages": [{"role": "user", "content": "Hello"}] }'
Python:
from openai import OpenAI
client = OpenAI(base_url="https://abliteratly.beer/v1", api_key="sk-ub-...")
r = client.chat.completions.create(
model="remm-slerp-l2-13b",
messages=[{"role": "user", "content": "Hello"}]
)
print(r.choices[0].message.content)
This model is in the uncensored tier. It is a better fit for creative writing, roleplay, open-ended research and workflows where a policy refusal would interrupt the task. That does not make it accurate or appropriate for every use; test it on your own prompts and follow the acceptable use policy.
| Model | Type | Context | Input | Output |
|---|---|---|---|---|
| Magnum V4 72B magnum-v4-72b | uncensored | 32.8K | $12 | $20 |
| DeepSeek V4.1 Flash 1017 Uncensored deepseek-v4.1-flash-uncensored | uncensored | 1.05M | $0.6 | $2.4 |
| Weaver (Alpha) weaver | uncensored | 8.0K | $2 | $3 |
| Cydonia 24B V4.1 cydonia-24b-v4.1 | uncensored | 131.1K | $1.2 | $2 |
Compare the full uncensored catalog, check the quickstart, or read the abliterated models guide.
$1.8 per 1M input tokens and $2.6 per 1M output tokens. Cached input is $1.8 per 1M where the provider supports prompt caching.
Yes. It is listed in the uncensored tier, which includes abliterated and uncensored models. Behaviour still varies by prompt and model.
Not according to the current catalog metadata. Use a model with tool support for agent workflows.
Set base_url to https://abliteratly.beer/v1, use your API key, and set model to remm-slerp-l2-13b. The endpoint is POST /v1/chat/completions.
Prompt and response bodies are not written to our database. We store request metadata such as model, token counts, cost and status. The upstream provider's retention policy applies to the request itself.