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Z.ai: Apex Flash 1 Abliterated

glm-5.3-flash-abliterated

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Apex Flash 1 Abliterated is an experimental derivative of Cantina Security and Yeta's Apex Flash 1 with modified refusal behavior.

Modalities

Text + Image → Text

Input / output price

$0.195 / $0.650 per 1M

Context

1M · max output 33K

Capabilities

UncensoredReasoningVisionTool callingLong contextOpen weightsChinese-tuned

Pricing

Billed per token actually used and deducted from your credits.

ItemUSD per 1M tokens
Input$0.195
Output$0.650
Cached input$0.0975

Calculator

Drag the sliders to estimate what this model will cost.

Per request
$0.00111
Per day
$0.5525
Per month (30 days)
$16.57

Apex Flash 1 Abliterated: input $0.195/M · output $0.65/M · cached input $0.0975/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": "glm-5.3-flash-abliterated", "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 glm-5.3-flash-abliterated.

curl https://api.geniusrelaygpt.com/v1/chat/completions \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "glm-5.3-flash-abliterated",
    "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 Apex Flash 1 Abliterated billed?
Input is $0.195 and output is $0.650 per million tokens; cached input is $0.0975. 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.