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November 12, 2026 · new models · inkling · uncensored models

Inkling 2 Small Uncensored: our own uncensored build of Thinking Machines' new model, by API

We removed the refusals from Thinking Machines' Inkling 2 Small (594B, 17B active, text and images), published the weights on Hugging Face, and serve it on an OpenAI compatible API with no account. What changed, what we measured, price and setup.

Thinking Machines released Inkling 2 Small on November 12: an open weights model (Apache 2.0) that reads text and images, with 594 billion parameters of which 17 billion are active per token. Like every new frontier model, it refuses a lot of ordinary requests. We removed the refusals ourselves, published the weights, and serve it on our own GPUs.

Model id inkling-2-small-uncensored. Weights: OpenUncensored/Inkling-2-Small-Uncensored.

What we changed

  • The original: Inkling 2 Small from Thinking Machines, a mixture of experts model (384 experts, 8 used per token) with text and image input. We started from their MXFP8 checkpoint.
  • The uncensoring: we found the small set of directions in the model's activations that carry its refusals and removed them from the attention and expert outputs, then saved the weights back in the same MXFP8 format. Nothing was fine tuned, so the model's knowledge and style are its own.
  • What we measured: 0 refusals out of 32 harmful test requests, with thinking on and off. MMLU 90.35% against 90.44% for the original, so the edit costs almost nothing in intelligence.

Call it

Same OpenAI compatible API and key as every other model here. Price: $0.600 per million input tokens and $2.40 per million output tokens. Up to 262,144 tokens of context.

curl https://api.openuncensored.com/v1/chat/completions \
  -H "Authorization: Bearer $OU_API_KEY" -H "Content-Type: application/json" \
  -d '{"model": "inkling-2-small-uncensored", "messages": [{"role": "user", "content": "Hello"}]}'

from openai import OpenAI
client = OpenAI(base_url="https://api.openuncensored.com/v1", api_key="ou-...")
r = client.chat.completions.create(model="inkling-2-small-uncensored", messages=[{"role": "user", "content": "Hello"}])
print(r.choices[0].message.content)
  • Images: send image_url parts as with any OpenAI vision model.
  • Thinking: it reasons before it answers, and the reasoning comes back separately in reasoning. Set reasoning_effort to "none" for direct answers, or "low" up to "max" for more thought. Leave room in max_tokens when thinking is on.
  • Tools: function calling works, so it drops into agents and coding tools.

Or try it in the browser in the playground.

Thanks

Credit for the model goes to Thinking Machines, for releasing it with open weights under Apache 2.0.

Try any of them in a minute

No account and no sign up. Buy a prepaid key at openuncensored.com/credits, or hand your agent openuncensored.com/agents.md and let it get one for you. Then:

curl https://api.openuncensored.com/v1/chat/completions \
  -H "Authorization: Bearer $OU_API_KEY" -H "Content-Type: application/json" \
  -d '{"model": "deepseek-v4.1-flash-1017-uncensored", "messages": [{"role": "user", "content": "Hello"}]}'

The full, always current table is on the rankings page.