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General low-refusalVenice Abliterated
Venice Abliterated, a general-purpose chat model with reduced refusals and a 128K-token context window.
Text in
$0.80/M in · $3.60/M out
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Low-Refusal LLM API — General Chat Models with Reduced Refusals
The Low-Refusal LLM API gives you programmatic access to 2 models through one Muapi API key and one request shape: prompt, optional system_prompt, max_tokens.These are general-purpose chat models with reduced refusals or trained for high steerability. That lowers how often they decline a request; it does not guarantee unrestricted output or change Muapi's acceptable-use policy. You remain responsible for how you use the output.
General low-refusal
General low-refusal models2 modelsTry Model
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General low-refusalHermes 4 405B
Hermes 4 405B from Nous Research, a large open-weights model trained for steerability and low refusal rates, with a 128K-token context window.
Text in
$0.60/M in · $2.40/M out
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What is the Low-Refusal LLM API?
The Low-Refusal LLM API is Muapi's catalog of 2 low-refusal chat LLMs, from lightweight 8B chat models to 1M-token-context reasoning models, behind one consistent REST interface so you can compare them by changing a single model name.
Submit a prompt, optionally with a system_prompt to set persona and tone, and poll for the generated text. Typical uses include open-ended chat, writing and brainstorming, research assistants that follow a detailed system prompt, and comparison against more restrictive models. These are general-purpose chat models with reduced refusals or trained for high steerability. That lowers how often they decline a request; it does not guarantee unrestricted output or change Muapi's acceptable-use policy. You remain responsible for how you use the output.
Key Capabilities
2 Models, One API
Every endpoint accepts the same request body and returns text through the shared result endpoint, so switching models is a one-line change.
Reduced Refusals
These models decline fewer requests than typical assistant models. Behavior varies by model and prompt, and is not a guarantee.
System Prompt Control
Set a system_prompt to steer persona, tone, and output format for creative, analytical, or evaluation work.
Pay Per Token
Billing follows the token counts each call returns. There is no subscription and no model hosting to manage.
Long-Form Text Generation
Use these models for chat, drafting, and step-by-step reasoning.
Acceptable-Use Policy Applies
Reduced refusals do not mean no rules. Muapi's acceptable-use policy and applicable law still apply to what you generate.
Pricing
| Endpoint | Input | Output | Price | Best For |
|---|---|---|---|---|
| venice-abliterated | Prompt + system_prompt, max_tokens | Complete text response (poll for result) | $0.80/M in · $3.60/M out | General chat and writing with reduced refusals |
| hermes-4-405b | Prompt + system_prompt, max_tokens | Complete text response (poll for result) | $0.60/M in · $2.40/M out | Large-model chat and reasoning that follows your system prompt closely |
Billed per token from the usage each call returns; prices are per million input and output tokens.
How to Call the Low-Refusal LLM API
Submit a JSON request with your Muapi API key, save the request ID, and poll the shared result endpoint.
1. Submit a prompt to Venice Abliterated
curl -X POST https://api.muapi.ai/api/v1/venice-abliterated \
-H "x-api-key: YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"prompt": "Give me a candid pros-and-cons list for quitting my job to freelance.", "system_prompt": "You are a candid, detail-oriented assistant.", "max_tokens": 1024}'
# Response: {"request_id":"REQUEST_ID"}Call venice-abliterated with a prompt and optional system_prompt.
2. Submit a prompt to Hermes 4 405B
curl -X POST https://api.muapi.ai/api/v1/hermes-4-405b \
-H "x-api-key: YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"prompt": "Follow this system prompt exactly and critique my draft essay.", "system_prompt": "You are a candid, detail-oriented assistant.", "max_tokens": 1024}'
# Response: {"request_id":"REQUEST_ID"}Call hermes-4-405b with a prompt and optional system_prompt.
3. Poll the result
curl https://api.muapi.ai/api/v1/predictions/REQUEST_ID/result \ -H "x-api-key: YOUR_API_KEY" # Poll until status is completed, then read the generated text from outputs.
Poll the shared result endpoint until the task is completed, then read the generated text from outputs.
Frequently Asked Questions
What is a low-refusal LLM?
A low-refusal LLM is a chat model with reduced refusals or one trained for high steerability, so it declines fewer requests than a typical assistant. It is a description of typical behavior, not a guarantee, and results vary by model and prompt.
Which models does the Low-Refusal LLM API include?
Venice Abliterated and Hermes 4 405B. Each is a separate endpoint with its own model name in the URL.
How much does it cost?
Billing is per token, deducted after each call from the counts the model returns. Rates start at $0.60 per million input tokens; see the pricing table for every model.
Will these models answer anything I ask?
No. Reduced refusals do not mean unrestricted output, and each model's knowledge and quality still bound the answer. You are responsible for how you use the output, and requests that violate Muapi's acceptable-use policy or the law are not permitted.
Can I send images to these models?
No. Every model on this page is text in, text out.
How do I get the result?
POST to /api/v1/<model-name> returns a request_id. Poll /api/v1/predictions/{request_id}/result until the status is completed, then read the text from outputs.
See the Abliterated LLM API →20 models on the Abliterated LLM API.See the Character Chat LLM API →12 models on the Character Chat LLM API.Browse every LLM on Muapi →Compare these models against GPT, Claude, Gemini, DeepSeek and every other language model in the catalog.
Ready to build with the Low-Refusal LLM API?
Create one Muapi API key and call every model on this page with a plain REST request.