---
title: DeepSeek Uncensored & Abliterated Models: API Guide
description: Compare DeepSeek model variants, exact API IDs, token rates, instruction behavior and compatible coding tools.
canonical: https://routerhub.si/guides/deepseek-uncensored
---

Model guide
# DeepSeek Uncensored & Abliterated Models: API Guide
DeepSeek uncensored and abliterated models offer reduced-refusal generation for coding assistance, structured text and creative writing. Compare Flash, Pro and tuned variants by API ID, context and token price.
By RouterHub · Updated 3 November 2026

## DeepSeek uncensored and abliterated models
DeepSeek uncensored and abliterated models offer reduced-refusal generation for coding assistance, structured text and creative writing. Compare Flash, Pro and tuned variants by API ID, context and token price.

## Compare DeepSeek API IDs and prices

  RouterHub token prices, USD per 1 million tokens
  | Model / exact API ID | Input / 1M | Cached / 1M | Output / 1M | Context | Actions |

  | DeepSeek V4 Pro deepseek-v4-pro | $0.30 $0.15 −50% | $0.0016 | $0.60 $0.30 | 1M | Chat |
| DeepSeek V4 Pro Uncensored Uncensored deepseek-v4-pro-uncensored | $0.20 −00% | $0.0016 | $0.40 | 1M | Chat |
| DeepSeek V4.1 Flash deepseek-v4.1-flash | $0.30 $0.10 −66% | $0.0027 | $1.20 $0.40 | 1M | Chat |
| DeepSeek V4.1 Flash Uncensored Uncensored deepseek-v4.1-flash-uncensored | $0.30 $0.15 −50% | $0.0027 | $1.20 $0.60 | 1M | Chat |
| DeepSeek V4.1 Flash Abliterated Abliterated deepseek-v4.1-flash-abliterated | $0.30 −00% | $0.055 | $1.25 | 1M | Chat |
| DeepSeek V4 Pro Abliterated Abliterated deepseek-v4-pro-abliterated | $0.40 −00% | $0.040 | $1.60 | 1M | Chat |
| DeepSeek V4.1 Flash 1017 Abliterated Abliterated deepseek-v4.1-flash-1017-abliterated | $0.30 −00% | $0.055 | $1.25 | 1M | Chat |

## Standard, uncensored or abliterated?
Uncensored models are reduced-refusal language model variants for open-ended generation, coding and creative work. Uncensored variants use prompting, fine-tuning, weight changes, or a combination of these techniques.
Abliteration reduces refusal-related behavior by modifying model weights. RouterHub serves uncensored and abliterated variants under separate API IDs, with their own token prices and context limits.
RouterHub’s prompt-profile uncensored variants use a server-managed instruction profile. Customer system/developer instructions can be replaced by that profile; put task-specific requirements in the user message.

## Connect DeepSeek to your application
For a model that lists `chat`, use `https://routerhub.si/v1/chat/completions` with an OpenAI-compatible SDK. OpenCode, Continue and compatible Cline configurations support Chat Completions; Claude Code uses Messages-compatible models.

- [Uncensored API quickstart Connect with Python or cURL.](https://routerhub.si/guides/uncensored-ai-api)
- [Choose a compatible coding tool Choose a coding tool and configure your model.](https://routerhub.si/agents)
- [DeepSeek provider API setup Continue with the full setup guide.](https://routerhub.si/guides/deepseek)

## How to choose between DeepSeek variants

- Fix the task. Use the same inputs, output format, reasoning setting and output budget for each exact model ID.
- Separate refusal from failure. Record an explicit refusal separately from a timeout, empty response, invalid JSON, wrong answer or truncated generation.
- Keep every attempt. Repeat your tests and retain unsuccessful outputs, not just the best answer.
- Measure useful work. Compare task acceptance, instruction following, tool-call validity and cost per successful task, not token price alone.
- Re-test changes. A hosted alias or model update can change behavior even when your client configuration stays the same.
For ordinary uncached text usage, estimate cost as `input tokens × input price / 1,000,000 + output tokens × output price / 1,000,000`. Reported cache reads and writes use their own published rates. The final Usage record, not time spent waiting or a headline token limit, is the billing reference.
Example: at $0.20 per million input tokens and $0.60 per million output tokens, 10,000 uncached input tokens and 2,000 output tokens cost an estimated $0.0032. This is an illustrative calculation, not a quoted price for a particular model.
For model selection, divide the total cost of all measured attempts by the number of acceptable results. A lower token rate is not automatically a lower cost per completed task.

## Evidence and further reading

- [DeepSeek community reference on GitHub Read the source, examples and project notes on GitHub.](https://github.com/routerhubSI/uncensored-models)
- [Variant comparisons on GitHub Read the source, examples and project notes on GitHub.](https://github.com/routerhubSI/uncensored-vs-abliterated-ai)
- [Uncensored vs abliterated: full explanation Compare the techniques and model variants.](https://routerhub.si/guides/uncensored-vs-abliterated)