Call Venice Abliterated through one API. 128K-token context, streaming and pay-per-token pricing. Try free in the Muapi playground. Venice Abliterated is a general-purpose chat model with a 128K-token context window that is tuned to refuse less often than mainstream assistants.
Venice Abliterated is a general-purpose chat model with a 128K-token context window that is tuned to refuse less often than mainstream assistants.
About this model
Venice Abliterated is a general-purpose chat model with a 128K-token context window that is tuned to refuse less often than mainstream assistants. Muapi exposes it through a single REST endpoint with async polling and Server-Sent Events streaming, so you can drop it into chat apps, agents and workflows without hosting GPUs. It is best suited to general chat and drafting with fewer refusals. Pricing is pay-per-token at $0.8/M input tokens and $3.6/M output tokens, with no subscription. See also Hermes 4 405B. Browse the full lineup on the Low-Refusal LLM API page or the Abliterated LLM API hub and the Character Chat LLM API hub. It is tuned to refuse less often than mainstream assistants, but it does not guarantee unrestricted output, and you remain responsible for complying with applicable laws and the Muapi terms of use.
Cost analysis
| Provider | Cost | Notes |
|---|---|---|
| muapiapp | $0.8/M input tokens and $3.6/M output tokens | Pay-per-token, billed on actual usage with a small minimum reserved up front. |
| Fal.ai | Not available | Venice Abliterated is not offered as a hosted endpoint. |
| Replicate | Not available | Venice Abliterated is not offered as a hosted endpoint. |
Pay-per-token, billed on actual usage with a small minimum reserved up front.
Venice Abliterated is not offered as a hosted endpoint.
Venice Abliterated is not offered as a hosted endpoint.
** Competitor pricing is estimated based on similar model architectures and usage tiers.
Configuration schema
| Parameter | Type | Description | Default |
|---|---|---|---|
| Prompt | string | The user message or instruction for the model. | Summarize the trade-offs between a monolith and microservices in five bullet points. |
| System Prompt | string | Optional system-level instruction to guide model behavior. | You are a concise, direct assistant. |
| Max Tokens | integer | Optional maximum number of tokens to generate. | 8192 |
The user message or instruction for the model.
Summarize the trade-offs between a monolith and microservices in five bullet points.Optional system-level instruction to guide model behavior.
You are a concise, direct assistant.Optional maximum number of tokens to generate.
8192Developer documentation
Get an API key: Create a key in your Muapi dashboard.
Send a prompt: POST prompt (plus optional system_prompt and max_tokens, up to 32768) to /api/v1/venice-abliterated.
curl -X POST https://api.muapi.ai/api/v1/venice-abliterated \
-H "x-api-key: $MUAPI_KEY" \
-H "Content-Type: application/json" \
-d '{"prompt": "Explain how attention works in transformers."}'
GET /api/v1/predictions/{request_id}/result until status is completed, or stream tokens live from /api/v1/venice-abliterated/stream.curl -X POST https://api.muapi.ai/api/v1/venice-abliterated/stream \
-H "x-api-key: $MUAPI_KEY" \
-H "Content-Type: application/json" \
-d '{"prompt": "Explain how attention works in transformers."}'
outputs. Usage is billed on actual token counts.Frequently asked
Venice Abliterated is a general-purpose chat model with a 128K-token context window that is tuned to refuse less often than mainstream assistants.
Venice Abliterated is tuned to refuse less often than mainstream assistants, but it does not guarantee unrestricted output and can still decline some requests.
Billing is per token: $0.8/M input tokens and $3.6/M output tokens. A small minimum is reserved when the request starts and reconciled to actual usage.
Yes. Stream tokens live from `/api/v1/venice-abliterated/stream` using Server-Sent Events, or poll the async endpoint.
The context window is about 128K tokens. Prompt and output together must fit inside it; `max_tokens` is capped at 32768. The endpoint accepts text input only.
No. Behavior varies by prompt, and you remain responsible for complying with applicable laws and Muapi's acceptable-use policy.