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Abliteration: Abliterated Model Large

abliterated-model-large

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Abliteration.ai's unrestricted large text reasoning model is derived from GLM-5.2 and weight-modified to reduce refusals compared with the base model. It supports native tool calling, structured output, automatic prompt caching, and a one-million-token context window.

Modalities

Text → Text

Input / output price

$3.90 / $6.50 per 1M

Context

1M · max output 1000K

Capabilities

UncensoredReasoningTool callingLong context

Pricing

Billed per token actually used and deducted from your credits.

ItemUSD per 1M tokens
Input$3.90
Output$6.50
Cached input$0.390

Calculator

Drag the sliders to estimate what this model will cost.

Per request
$0.0169
Per day
$8.45
Per month (30 days)
$253.50

Abliterated Model Large: input $3.9/M · output $6.5/M · cached input $0.39/M

Request with these settings
curl https://api.geniusrelaygpt.com/v1/chat/completions \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "abliterated-model-large", "max_tokens": 800,
       "messages": [{"role": "user", "content": "…"}]}'

Code samples

OpenAI-compatible. Set the base URL to https://api.geniusrelaygpt.com/v1 and the model to abliterated-model-large.

curl https://api.geniusrelaygpt.com/v1/chat/completions \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "abliterated-model-large",
    "stream": true,
    "messages": [{"role": "user", "content": "Hello"}]
  }'

Use it in a client: Cursor · Cline · SillyTavern · Codex

Parameters

Common OpenAI parameters can be passed as-is.

temperaturetop_pmax_tokensstreamstoppresence_penaltyfrequency_penaltyseed

FAQ

How is Abliterated Model Large billed?
Input is $3.90 and output is $6.50 per million tokens; cached input is $0.390. The charge for every request is listed in Usage Logs in the console.
How long is the context window?
1M tokens. In a long conversation every turn is billed for the full input, so keep the history under control.
Does it support streaming?
Yes. Add "stream": true to the request to receive server-sent events in the OpenAI format.