uncensored model

Magnum V4 72B API

Magnum V4 72B 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.

Last updated: 2026-10-23

At a glance

Model ID
magnum-v4-72b
Maker
Anthracite
Tier
uncensored
Context
32.8K
Max output
Not listed
Tools
Not listed
Input modalities
text

Pricing

ItemUSD per 1M tokens
Uncached input$12
Cached input$12
Output$20

A request with 100,000 input tokens and 20,000 output tokens costs about $1.6000 at the current rates, before any cached-input discount. The pricing page has a calculator and the billing rules.

Call it

curl https://abliteratly.beer/v1/chat/completions \
  -H "Authorization: Bearer $ABLITERATLY_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "magnum-v4-72b",
    "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="magnum-v4-72b",
    messages=[{"role": "user", "content": "Hello"}]
)
print(r.choices[0].message.content)

Is it a good fit?

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.

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Compare the full uncensored catalog, check the quickstart, or read the abliterated models guide.

Questions

How much does Magnum V4 72B cost?

$12 per 1M input tokens and $20 per 1M output tokens. Cached input is $12 per 1M where the provider supports prompt caching.

Is Magnum V4 72B uncensored?

Yes. It is listed in the uncensored tier, which includes abliterated and uncensored models. Behaviour still varies by prompt and model.

Does Magnum V4 72B support tool calls?

Not according to the current catalog metadata. Use a model with tool support for agent workflows.

How do I use Magnum V4 72B with the OpenAI SDK?

Set base_url to https://abliteratly.beer/v1, use your API key, and set model to magnum-v4-72b. The endpoint is POST /v1/chat/completions.

Are prompts stored?

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.

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