Abliteration: Abliterated Large Flash
abliterated-model-large-flash
Abliterated Large Flash is an uncensored reasoning model based on DeepSeek V4.1-Flash-1017. It accepts text and images and returns text, with tool calling, JSON mode, JSON Schema output, and automatic prompt caching. Its shared input/output context is 1,048,576 tokens, with up to 262,144 output tokens when space permits. Reasoning defaults to high and can be turned off or set to low, high, or max. Supports up to four images across the request history.
Modalities
Text + Image → Text
Input / output price
$1.30 / $2.60 per 1M
Context
1.05M · max output 262K
Capabilities
Pricing
Billed per token actually used and deducted from your credits.
| Item | USD per 1M tokens |
|---|---|
| Input | $1.30 |
| Output | $2.60 |
| Cached input | $0.130 |
Calculator
Drag the sliders to estimate what this model will cost.
- Per request
- $0.00598
- Per day
- $2.99
- Per month (30 days)
- $89.70
Abliterated Large Flash: input $1.3/M · output $2.6/M · cached input $0.13/M
curl https://api.geniusrelaygpt.com/v1/chat/completions \
-H "Authorization: Bearer $API_KEY" \
-H "Content-Type: application/json" \
-d '{"model": "abliterated-model-large-flash", "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-flash.
curl https://api.geniusrelaygpt.com/v1/chat/completions \
-H "Authorization: Bearer $API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "abliterated-model-large-flash",
"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_penaltyseedFAQ
- How is Abliterated Large Flash billed?
- Input is $1.30 and output is $2.60 per million tokens; cached input is $0.130. The charge for every request is listed in Usage Logs in the console.
- How long is the context window?
- 1.05M 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": trueto the request to receive server-sent events in the OpenAI format.