
Uncensored Kimi K3.1 will be a cheap API call the day the weights drop
deepseek-v4.1-flash-1017-uncensoredInput$0.60
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CybersecRed teamTrust & Safety
Coming soon
Kimi K3.1
kimi-k3.1-uncensoredInput$2.00
Cached$0.20
Output$10.00
1M context
New
DeepSeek V4.1 Flash 1017
deepseek-v4.1-flash-1017-uncensoredInput$0.60
Cached$0.06
Output$2.40
1M context
New
GLM-5.3 Flash
glm-5.3-flash-uncensoredInput$0.30
Cached$0.12
Output$1.00
1M context
Prices per 1M tokens. Compare models
Built for the work other LLMs refuse.
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Claude Code, Codex, OpenCode, or any OpenAI or Anthropic client.
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Keep your SDK, your coding agent, and your prompts. Point them at Silk Compute and switch the model to Kimi K3.1.
PythonJavaScriptcURLClaude CodeCodex
client = OpenAI( base_url="https://api.openai.com/v1https://api.silkcompute.com", api_key=os.environ["SILK_API_KEY"],)
OpenAI Python SDK. Pass model="kimi-k3.1-uncensored".Full setup
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The models are abliterated: their refusal behavior is removed. We serve them without added safety layers, content filters, or moderation.
Anything that speaks the OpenAI Chat Completions, OpenAI Responses, or Anthropic Messages API. That includes Claude Code, Codex, OpenCode, DeepSeek Harness, Kilo Code, Cline, the official OpenAI and Anthropic SDKs, and any app that lets you set a custom OpenAI base URL.
Keep your SDK. Set the base URL to https://api.silkcompute.com, use your Silk Compute API key, and change the model name to kimi-k3.1-uncensored.
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Every model accepts up to 1M tokens (1,048,576) of context. The docs list each model’s output limit.
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