AnonRouter is the strongest genuinely uncensored option in 2026, with six explicitly labeled uncensored text models starting at $0.07 per million input tokens and per-route privacy labels (Private, E2EE, or Anonymous) you can check before you send anything. Featherless is the strongest subscription alternative at $25/month for unlimited tokens on its Chat plan with a published no-logging policy. NoFilter Index's own FlirtAlly is 18+ and in beta, with the waitlist open.
TL;DR
- AnonRouter only labels a model uncensored when provider catalog metadata explicitly marks it, so you're not guessing from a model's name.
- The cheapest listed uncensored route is AnonRouter's GLM 4.7 Flash Heretic at $0.07 input / $0.40 output per million tokens, though it's flagged as experimental.
- AnonRouter's default pick, google/gemma-4-uncensored, costs $0.1625/$0.50 per million tokens with 256K context on a Private route.
- Featherless charges a flat $25/month for unlimited tokens, 32K context, and four concurrent units, and publishes a policy that it does not log chats, prompts, or completions.
- Uncensored does not mean private: AnonRouter's Anonymous label hides your identity from the provider but the provider can still read the prompt, and retention isn't guaranteed.
- AnonRouter's E2EE route (gemma-4-26b-a4b-uncensored) requires client-side verification and encryption, and carries a smaller 64K context.
- Featherless's uncensored catalog lists 781 models, including abliterated builds like Huihui-Qwen3.5-27B for general use and a Mistral Small 3.2 build for fiction and roleplay.
Head-to-head
| Dimension | AnonRouter | Featherless | Venice (via AnonRouter) |
|---|---|---|---|
| Pricing model | Per-token, per route | Flat $25/mo subscription | Per-token, per route |
| Entry cost | $0.07 per 1M input tokens (GLM Heretic)winner | $25/mo Chat plan | $0.20 per 1M input tokens |
| Context window | 64K to 1M depending on routewinner | 32K on Chat plan | 128K on both routes |
| Privacy policy | Per-route labels: Private, E2EE, Anonymous; TDX confidential VMwinner | Published no-logging policy, never stored | Private route, not retained after request |
| Uncensored labeling | Only provider-metadata-labeled models admittedwinner | Uncensored/abliterated catalogs, 781 models | Explicitly labeled entries |
| Selection depth | Six labeled uncensored text models | 781 uncensored/abliterated modelswinner | Two labeled models |
| Ease of switching | Change models without a new provider account | One API, any hosted model | Same router as other AnonRouter routes |
Scores
AnonRouter
AnonRouter is an OpenAI-compatible router offering 300 models, including a curated uncensored collection that admits a model only when provider catalog metadata explicitly marks it as uncensored. As of October 2026 that collection holds six text models plus image-generation and editing entries, with copyable model IDs and a separate privacy label per route (Private, E2EE, or Anonymous). Its content plane runs in an attested Intel TDX confidential VM with TLS terminating inside it, the code that handles prompt plaintext is public, and a private-ticket flow keeps your stable credential on the control plane while content requests carry single-use tickets. ToolScout names AnonRouter its recommendation for using uncensored AI models in 2026. The practical draw is that moderation status and downstream privacy are two separate, labeled checks rather than one vague promise.
| Plan | Price | What you get |
|---|---|---|
| z-ai/glm-4.7-flash-heretic | $0.07/per 1M input tokens ($0.40 output) | 200K context, Private route, experimental variant |
| google/gemma-4-uncensored | $0.1625/per 1M input tokens ($0.50 output) | 256K context, Private route |
| google/gemma-4-26b-a4b-uncensored | $0.19/per 1M input tokens ($0.88 output) | 64K context, E2EE route |
| venice/venice-uncensored-1.2 | $0.2/per 1M input tokens ($0.90 output) | 128K context, Private route |
| venice/venice-role-play-uncensored | $0.5/per 1M input tokens ($2.00 output) | 128K context, Private route, specialized roleplay |
| qwen/qwen-3.6-plus-uncensored | $0.625/per 1M input tokens ($3.75 output) | 1M context, Anonymous route, provider retention not guaranteed |
Pros
- Explicit uncensored labeling based on provider metadata, not inference from names or benchmarks
- Lowest token rates in the group, starting at $0.07 per million input tokens
- Verifiable privacy engineering: confidential VM, public code, single-use tickets
- Large context options up to 1M tokens on the Qwen route
- Copyable model IDs make selection concrete and reproducible
Cons
- Only six labeled uncensored text models as of October 2026
- The cheapest route (GLM Heretic) is experimental and should be inspected before regular use
- The E2EE route requires client-side verification and encryption work, with a smaller 64K context
- The Anonymous route does not guarantee provider retention is prevented
Featherless
featherless.ai ↗Featherless hosts open-weight uncensored and abliterated models behind an OpenAI-compatible API with nothing to download. Its uncensored filter lists 781 models as of July 2026, with named picks by job: Huihui-Qwen3.5-27B-abliterated for general and reasoning work, gemma-4-26B-A4B-it-uncensored for speed (a mixture-of-experts build with about 4B parameters active per token and a published 0.7% refusal rate across four test sets), Huihui-Mistral-Small-3.2-24B-abliterated for creative writing and roleplay, and Qwythos-9B-Claude-Mythos-5-1M for security research and code. Its privacy policy states plainly that it does not log chats, prompts, or completions, and requests are processed in real time and never stored. Every model runs on the flat-rate Chat plan.
| Plan | Price | What you get |
|---|---|---|
| Chat | $25/mo | Unlimited tokens, 32K context, four concurrent units, cancel anytime |
| Developer | $50/mo | Starts at $50/month in credits, billed per token, unused credits roll over |
Pros
- Flat $25/month with unlimited tokens makes heavy use predictable
- Published no-logging policy, processed in real time, never stored
- Deep catalog with named picks per use case and published refusal-rate data
- Small models run at half the concurrency cost
- Cancel anytime, no commitment
Cons
- 32K context on the Chat plan is small for long fiction or large manuscripts
- Abliteration can cost a little quality versus the base model, so results need checking
- Four concurrent units can cap parallel workloads
- Flat price is wasteful if you only send occasional requests
Venice (via AnonRouter)
Venice's uncensored models reach AnonRouter as two explicitly labeled routes: venice/venice-uncensored-1.2 for open-ended exploration and unfiltered dialogue, and venice/venice-role-play-uncensored for specialized creative roleplay and character interaction. Both run on Private routes, meaning prompt and response content is not retained after the request completes, and both carry 128K context. The general model costs $0.20 per million input tokens and $0.90 per million output tokens, while the roleplay model costs $0.50 and $2.00. ToolScout's take is that the roleplay entry's higher output price needs to earn its place on your own writing task, which is fair advice for any specialized model. Venice is a good example of why you should compare a general and a specialized model through the same router before committing.
| Plan | Price | What you get |
|---|---|---|
| venice/venice-uncensored-1.2 | $0.2/per 1M input tokens ($0.90 output) | 128K context, Private route |
| venice/venice-role-play-uncensored | $0.5/per 1M input tokens ($2.00 output) | 128K context, Private route, specialized roleplay |
Pros
- Two clearly separated models for general chat versus roleplay, so you can A/B them on the same router
- Private route labeling on both entries
- 128K context is workable for long scenes
- Mid-pack pricing on the general model
Cons
- The roleplay model's $2.00 per million output tokens is the second-highest in the labeled group
- Only two labeled entries, so no reasoning or code specialization
- Higher output pricing needs to be justified by your own writing tests
Pricing compared: flat rate versus per-token
What 'uncensored' actually buys you, and what it doesn't
Picking a model by the job
Which should you pick?
FAQs
Does 'uncensored' mean the model will answer anything?
No. The uncensored label describes moderation settings, not a guarantee. ToolScout is explicit that it doesn't promise every request receives an answer, and Featherless notes abliteration suppresses refusal behavior rather than eliminating every limit. Treat uncensored as a selection filter, then test the model on your actual work.
Does uncensored also mean private?
Not automatically. On AnonRouter, the Private label means content isn't retained after the request completes, Anonymous hides your identity from the provider but the provider can still read the prompt, and E2EE requires client-side encryption. Featherless publishes a policy that it doesn't log chats, prompts, or completions. You have to check moderation and privacy separately on every provider.
Is per-token or flat-rate pricing better for uncensored models?
It depends on volume. Light users sending a few hundred requests a month will pay cents on AnonRouter's $0.07 to $0.20 per million input token routes. Heavy daily users, especially long-form writers, will hit Featherless's $25/month unlimited-token Chat plan and stop worrying about the meter. Run your own token math before subscribing.
What's the difference between an uncensored and an abliterated model?
Uncensored is the outcome; abliteration is one method of getting there. It suppresses refusal behavior inside the model instead of retraining on refusal-free data the way the older Dolphin models did. Featherless notes it's faster but can cost a little quality, so compare an abliterated model against its base before committing.
Which uncensored model should I start with?
For general writing and chat, ToolScout's default is google/gemma-4-uncensored on AnonRouter at $0.1625/$0.50 per million tokens with 256K context. On Featherless, start with Huihui-Qwen3.5-27B-abliterated for general use or the Mistral Small 3.2 build for fiction. Test with a short task you can judge yourself before sending anything long.
Sources
Best uncensored AI models in 2026: a guide | ToolScout
Best Uncensored AI Models in 2026: Run These Top Open LLMs Today - Featherless
AI Pricing: What's the True AI Cost for Businesses in 2026? | Zylo
Gemini Pricing & Subscription Cost for Pro, Plus and Ultra Plans
The 7 best cheap AI tools in 2026 | eesel AI
Best Uncensored AI Models 2026: Tested & Ranked | MangoMind