Kimi 3.1P Uncensored, via API.

Kimi 3.1P Uncensored API: the connection settings

Kimi 3.1P is the short name used by Uncensured AI for its Kimi K3.1 Pro Uncensored edition. The documented API model ID is kimi-k3.1-pro-uncensored. Use the ID in requests; use the display name when finding the model in chat. The release records supplied for this coverage show both interfaces enabled.

The attraction is practical: you can try a demanding model without provisioning a machine, loading weights or paying for idle GPU capacity. Your application still needs to handle authentication, output limits and service errors. The no-GPU integration guide covers the surrounding setup.

What the frontier comparison supports

Moonshot describes K3.1 Pro as a 3T-class model with a one-million-token context window. Its model card reports SWE Marathon v1.1 results of 51.7 for Kimi versus 46.3 for Opus 5.5. On Program Bench the order reverses: 31.5 versus 65.0. That makes Kimi a serious candidate for engineering work, with a workload-dependent result.

For GPT-6.1 Sol, keep the comparison separate. The Artificial Analysis profiles checked on 6 November show rounded composite scores of 46 for Kimi, 55 for Sol at max effort and 59 for Opus at max effort with default fallback. These are index points. They do not show a universal Kimi lead, and none of these scores measures the hosted Uncensored edition.

Pick the model using the task that earns its keep in your application. A repository repair can be checked with tests. A document workflow can be checked against expected fields. A writing workflow needs an editorial rubric. Keep the same inputs and count the work you would accept.

What “90% fewer refusals” means in an application

The service team reports up to 90% fewer refusals for Kimi 3.1P Uncensored. This is a supplied relative-reduction claim. The paired counts, baseline configuration and prompt set were not provided, so Deepweight has not independently reproduced it.

If a hypothetical baseline refused 30 out of 100 valid requests and another endpoint refused three, the relative reduction would be 90%. That example is arithmetic, not a Kimi measurement. Track accepted answers as well: fewer declines help when the additional answers are useful and correct.

A timeout, empty stream or HTTP 429 is a service outcome. It should not enter your refusal numerator. The service’s Uncensored and Abliterated comparison says refusals can remain in Uncensored editions. Build your workflow around observed behavior rather than assuming unconditional completion.

Make one small request first

The documented base URL is https://uncensuredai.com/v1, using the Chat Completions request format. Obtain a key from your own account and supply it as a local environment variable. The following example contains no real credential and has not been executed as an editorial benchmark.

curl https://uncensuredai.com/v1/chat/completions \
  -H "Authorization: Bearer $UNCENSURED_AI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "kimi-k3.1-pro-uncensored",
    "messages": [{"role": "user", "content": "Explain a small caching bug and propose a test."}],
    "max_tokens": 1024,
    "stream": false
  }'

Start with an output budget that is easy to inspect. Confirm a normal response, then test streaming and your error path. Before connecting an agent, test tool calls and structured output on this exact edition; the original model’s feature list does not establish what every hosted route exposes. See the current API documentation for supported parameters.

Use Kimi with an OpenAI-compatible Python client

With the OpenAI Python SDK available, set your key in your own environment and configure the custom base URL. Keep the exact hosted model ID. This is a connection example; no request was executed for this article.

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["UNCENSURED_AI_API_KEY"],
    base_url="https://uncensuredai.com/v1",
)
response = client.chat.completions.create(
    model="kimi-k3.1-pro-uncensored",
    messages=[{"role": "user", "content": "Find the edge cases in a small cache implementation."}],
    max_tokens=1024,
)
print(response.choices[0].message.content)

Download the Kimi API Python example. If your client rejects a parameter, check the service’s current documentation rather than assuming every OpenAI feature is implemented.

Budget for the result you keep

Check the current Uncensured AI price list before committing traffic. Record input, cached input, output and any separate charges. The surrounding application can change the token mix through retries, long histories and tool results.

Calculate cost per accepted task as total spend divided by accepted completions. Keep a second column for editing time. An endpoint that produces a usable first draft more often may be valuable even when another has a lower token price. Conversely, a long explanation that fails the requested format can consume the budget without completing the task. Use the traffic calculator for a scenario, then replace its assumptions with observed usage.

Kimi filterless API, no-filter or abliterated?

A Kimi filterless API or Kimi no-filter API usually describes the wish to complete more open-ended work with fewer refusals. An abliterated Kimi API would make a more specific claim about how refusal behavior was changed. This endpoint is cataloged as Uncensored; use that classification in your integration.

If you are evaluating a Kimi 3.1 abliterated API, compare the exact model ID, useful answers and supported client features. The label alone cannot tell you whether a tool call or format constraint will work. Our uncensored and abliterated API guide gives the selection criteria.

Kimi 3.1P and Kimi K3.1 Pro identify the display name and upstream family covered here. Uncensured AI, sometimes written UncensuredAI, is the service at uncensuredai.com. A request for “Kimi 3.1 uncensured API” can refer to that service; its exact API identifier remains kimi-k3.1-pro-uncensored.

A small migration trial you can review

Choose five everyday tasks, three formatting edge cases and two requests that previously produced unhelpful refusals. Keep the prompts and scoring rules fixed. Save each full response with its model ID, time, token usage and outcome. Repeat the important cases before making a decision.

Label refusal, partial answer, wrong answer and service error separately. Then ask whether the hosted edition gives you more accepted work within your budget. The evaluation kit provides original prompts and a blank results sheet. It contains no provider scores; your trial supplies the evidence.

For a quick first look, open Kimi in the browser chat. Use the API when you are ready to keep inputs and outcomes reproducible. That makes the move from a promising model announcement to an integration you can assess.

Kimi Uncensored API: quick answers

How do I use Kimi 3.1 Pro Uncensored through an API?

Set the base URL to https://uncensuredai.com/v1, supply your own API key, and send a Chat Completions request with model kimi-k3.1-pro-uncensored.

Can I use an OpenAI-compatible client for Kimi 3.1P?

Yes, the documented integration uses a custom base URL and model ID. Check optional tools, streaming and structured-output behavior on the exact endpoint before migrating an agent.

Where is a filterless or no-filter Kimi API available?

Uncensured AI offers the Uncensored edition covered here. Filterless and no-filter are informal descriptions; some requests can still be refused.

Is this the same as a Kimi 3.1 abliterated API?

The catalog labels this edition Uncensored. A lower refusal rate does not by itself establish a documented weight-level abliteration method.

What is the difference between Kimi uncensured and uncensored?

Uncensured AI is the provider brand, while Uncensored is the edition label. The API ID is kimi-k3.1-pro-uncensored.