GLM 5.3 Flash with its refusals removed from the weights, on a private, OpenAI-compatible API. Text only, at under half the price, with a brief think before every answer.
Everything the model sees
{
"model": "glm-5.3-flash-uncensored",
"messages": [{
"role": "user",
"content": "Play the rival. Don’t go easy on me."
}]
}What comes back
Easy? You came to my city wearing my colours, and you want easy? Sit down. You’re going to lose slowly.
glm-5.3-flash-uncensored · 1 credit · prompt and reply not kept
For less
Under half the price, for text. It thinks briefly before every answer.
glm-5.3-flash-uncensoredPaid with nokeep credits: 1,000 are $1, from $5. Billed by the token and rounded up to one credit. Failed and refused calls cost nothing. A plan’s included chat doesn’t cover the API.
stream = client.chat.completions.create(
model="glm-5.3-flash-uncensored",
messages=[{"role": "user", "content": "Play the rival."}],
reasoning_effort="high", # "low" is the default
stream=True,
)
for chunk in stream:
if chunk.choices:
print(chunk.choices[0].delta.content or "", end="")Stream
data: {"choices":[{"delta":{"content":"Easy?"}}]}
data: {"choices":[{"delta":{"content":" You came"}}]}
…
data: [DONE]The same weights, with the refusal direction removed. It answers like the original on everyday work and stops declining what it’s asked.
No, it reads text only. Send pictures to DeepSeek V4.1 Flash Uncensored on the same key.
Always, briefly. reasoning_effort takes "low" (the default) or "high". Thinking counts as output tokens.
Not on this model. Sampling settings are dropped and named in the x-nokeep-ignored header, never guessed at. DeepSeek takes them.
$0.20 per million tokens in and $0.65 out, paid with nokeep credits (1,000 credits are $1). Every call is rounded up to one credit.
We add nothing to your prompt, cut nothing from the reply and keep only token counts for the bill. The model’s host deletes each prompt within ten minutes of the reply, and its GPUs belong to independent operators. When nothing at all may be kept, use DeepSeek.
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