# mancer

2026-11-11에 검증된 OpenAITools.app 텔레메트리에 따르면, mancer(mancer.tech)은(는) Large Language Models (LLMs)에 색인된 AI 플랫폼으로 월 1.71천회 방문을 기록 중이며, 전월 대비 트래픽 변화량은 -7.19천(-80.8%)입니다. 주요 지리적 시장은 브라질(트래픽 점유율 93.9%)이며, 무료+유료 가격 모델로 운영됩니다. 월간 트래픽 기준 주요 경쟁 대안으로는 Abliteration.ai (월 52.28만회 방문), OpenRouter (월 1994.14만회 방문), Groq (월 398.79만회 방문) 등이 있습니다.

mancer is an independent large language model inference service that routes your prompts to unfiltered models with no content filtering or behavioural guidelines. It offers a free tier for its standard model and paid tiers for faster or more capable ones, and exposes an OpenAI-compatible API that drops into tools like SillyTavern.

## 주요 텔레메트리 및 사양

| 지표 | 값 |
| :--- | :--- |
| 도구 이름 | mancer |
| 핸들 | mancer-tech |
| Status | active |
| Origin | independent |
| Maintenance | active |
| 공식 도메인 | mancer.tech |
| 웹사이트 URL | https://mancer.tech |
| 카테고리 | Large Language Models (LLMs), AI API, AI 모델 |
| 가격 모델 | 무료+유료 |
| 월간 방문 수 | 1,708 |
| 전월 대비 트래픽 변화 | -7,193 |
| 전월 대비 성장률 | -80.8% |
| 주요 시장 | 브라질 |
| 시장 점유율 | 93.9% |
| 직접 방문 | 734 |
| 자연 검색 방문 | — |
| 소셜 방문 | — |
| 추천 방문 | 153 |
| 이메일 방문 | 47 |
| 리뷰 점수 | 4.1 |
| 저장 수 | 0 |
| 지원 플랫폼 | 웹사이트 |
| 결제 플랫폼 | stripe |
| 속성 | 기능: 웹사이트; 가격: 유료 |
| 태그 | LLM, 대규모 언어 모델, 추론, API, 무필터 AI, AI 서비스 |

## 개요

mancer is an independent large language model inference service that routes your prompts to unfiltered models with no content filtering or behavioural guidelines. It offers a free tier for its standard model and paid tiers for faster or more capable ones, and exposes an OpenAI-compatible API that drops into tools like SillyTavern.

## 가격 및 요금제

Free and paid. A free tier grants access to a standard model without charge; paid tiers unlock higher-capability, faster models. The live model line-up and current prices sit on mancer's models and prices pages — check there for up-to-date numbers.

## 주요 기능 및 역량

- **Unfiltered inference:** No content filtering and no behavioural guidelines are applied on the provider side. mancer runs the models and returns whatever they generate, leaving the choice of what to prompt to the user.
- **Free tier plus paid models:** Access a capable model at no cost for everyday use, and move to paid models when you need faster response times, larger parameter sizes or stronger general ability.
- **OpenAI-compatible API:** An OpenAI-compatible text-generation API means chat front-ends such as SillyTavern and other OpenAI-style clients can point straight at mancer without bespoke integration work.
- **Simple sign-up and model picks:** Sign-up, model selection and usage are a short, three-step flow designed so you can get a key and start prompting quickly rather than working through a heavy onboarding process.
- **One account, one endpoint:** A single account gives you one endpoint and one key for every model on offer, so switching between a free model and a paid one is a configuration change rather than a new integration.

## 주요 활용 사례

- **Run a chat client without local GPUs (Roleplay and chat front-end user):** Point SillyTavern or another OpenAI-style chat client at mancer's endpoint and use a free model without managing local hardware or GPU capacity.
- **Explore prompts that mainstream APIs decline (Writer or researcher):** Use the unfiltered models for prompts that a moderated commercial API would refuse, in contexts where you are comfortable taking responsibility for the output.
- **Prototype against an alternative provider (Developer or tinkerer):** Because the endpoint is OpenAI-compatible, you can swap it in as an alternative provider behind an existing abstraction layer, useful for testing how different models handle the same prompt set.
- **Build a small project on the free tier (Indie developer):** Community and hobby projects that need a low-cost or free inference endpoint for a standard model can build on the free tier and upgrade individual models only when throughput matters.

## 강점

- No content filtering, which is the explicit point of the service
- Genuinely usable free tier for a standard model
- OpenAI-compatible API means existing chat front-ends plug in quickly
- Fast sign-up with a three-step flow
- One account and endpoint across every model offered

## 한계

- Content policy places responsibility on the user, so outputs are not filtered for you
- Catalogue is smaller and more niche than the big commercial providers
- Uptime and rate limits depend on a small independent operator rather than a large cloud
- Documentation is deliberately casual, which some teams will find thin for production work

## 자주 묻는 질문

### What exactly does mancer provide?
mancer runs a range of large language models on its own high-end hardware and lets you send any prompt you like to them, with no output sanitisation layer. A free allowance covers a standard model, while a paid tier unlocks stronger, faster models. Because nothing is filtered on the service side, the responsibility for appropriate use sits with you as the user.

### Is there a free option?
Yes, there is a free tier that lets you use a capable model as much as you want. Paid access is aimed at users who need harder, faster or larger models. Exact model line-ups and prices are listed on mancer's own models and prices pages, which is the authoritative source as the catalogue changes over time.

### Can I use mancer with my existing chat client?
It exposes an OpenAI-style text-generation API, so any front-end or client that supports OpenAI-style text generation can point at mancer. It is commonly used with SillyTavern and similar chat front-ends, and the provider notes that tools built around text-generation-webui compatibility generally work too.

### Does mancer filter or moderate outputs?
Yes. The service is explicitly positioned as unfiltered: it applies no content filters and no behavioural guidelines. mancer states that output sanitisation is not its role and asks users to prompt responsibly, so you should treat it as suitable only for accounts and contexts where unfiltered model output is acceptable.

### What should I keep in mind before relying on it?
It is a small independent service rather than a major cloud provider, so the practical considerations are throughput, rate limits and availability. Capacity on the free tier in particular can be shared, and the paid tier exists mainly to get better models and faster responses. For anything business-critical it is worth testing reliability against your own requirements.

### mancer의 월간 트래픽과 성장 추세는 어떠한가요?
mancer은(는) 현재 월 1.71천회 방문을 기록 중이며, 전월 대비 트래픽 변화량은 -7.19천(성장률 -80.8%)입니다. 주요 유입 시장은 브라질(점유율 93.9%)이며, 여기에는 월 직접 방문 734회와 월 자연 검색 방문 —회가 포함됩니다.

### mancer은(는) 무료인가요? 가격 모델은 무엇인가요?
mancer은(는) 무료+유료 가격 모델로 운영됩니다. Free and paid. A free tier grants access to a standard model without charge; paid tiers unlock higher-capability, faster models. The live model line-up and current prices sit on mancer's models and prices pages — check there for up-to-date numbers. 지원되는 결제 및 체크아웃 플랫폼에는 stripe 등이 있습니다.

### 2026년 최고의 mancer 대안은 무엇인가요?
OpenAITools.app의 카테고리 트래픽과 기능 적합도를 기준으로 할 때 mancer의 상위 5개 대안은 다음과 같습니다: 1. Abliteration.ai (월 52.28만회 방문); 2. OpenRouter (월 1994.14만회 방문); 3. Groq (월 398.79만회 방문); 4. OpenAI 플랫폼 (월 2.35억회 방문); 5. OrcaRouter (월 97.53만회 방문).

### mancer은(는) 어떤 플랫폼과 핵심 AI 역량을 지원하나요?
mancer은(는) Large Language Models (LLMs), AI API, AI 모델으로 분류되며 다음 플랫폼을 지원합니다: 웹사이트. 핵심 역량 태그에는 LLM, 대규모 언어 모델, 추론, API, 무필터 AI, AI 서비스 등이 있습니다.

## 대안

| 도구 이름 | 월간 방문 수 | 가격 모델 | 비교 |
| :--- | :--- | :--- | :--- |
| [Abliteration.ai](https://openaitools.app/ko/tool/abliteration-ai) | 522,766 | 무료+유료, 유료, 가격 문의 | [비교](https://openaitools.app/ko/compare/abliteration-ai-vs-mancer-tech) |
| [OpenRouter](https://openaitools.app/ko/tool/openrouter-ai) | 19,941,437 | 유료 | [비교](https://openaitools.app/ko/compare/mancer-tech-vs-openrouter-ai) |
| [Groq](https://openaitools.app/ko/tool/groq) | 3,987,936 | 유료 | [비교](https://openaitools.app/ko/compare/groq-vs-mancer-tech) |
| [OpenAI 플랫폼](https://openaitools.app/ko/tool/openai) | 234,678,639 | 유료 | [비교](https://openaitools.app/ko/compare/mancer-tech-vs-openai) |
| [OrcaRouter](https://openaitools.app/ko/tool/orcarouter) | 975,300 | 무료+유료 | [비교](https://openaitools.app/ko/compare/mancer-tech-vs-orcarouter) |
| [RightNow Inference(RunInfra)](https://openaitools.app/ko/tool/runinfra) | 18,110 | 무료 체험, 유료, 가격 문의 | [비교](https://openaitools.app/ko/compare/mancer-tech-vs-runinfra) |
| [DeepSeek](https://openaitools.app/ko/tool/deepseek) | 372,761,591 | 무료+유료 | [비교](https://openaitools.app/ko/compare/deepseek-vs-mancer-tech) |
| [BigModel(즈푸 AI GLM 플랫폼)](https://openaitools.app/ko/tool/bigmodel) | 5,700,686 | 무료+유료 | [비교](https://openaitools.app/ko/compare/bigmodel-vs-mancer-tech) |
| [Atlas Cloud](https://openaitools.app/ko/tool/atlas-cloud) | 777,031 | 유료 | [비교](https://openaitools.app/ko/compare/atlas-cloud-vs-mancer-tech) |
| [DeepInfra](https://openaitools.app/ko/tool/deep-infra) | 457,810 | 유료 | [비교](https://openaitools.app/ko/compare/deep-infra-vs-mancer-tech) |
| [Chutes](https://openaitools.app/ko/tool/chutes) | 250,187 | 유료 | [비교](https://openaitools.app/ko/compare/chutes-vs-mancer-tech) |
| [Qwen 4 (알리바바 Qwen4)](https://openaitools.app/ko/tool/qwen-4) | 35,101,353 | 무료+유료 | [비교](https://openaitools.app/ko/compare/mancer-tech-vs-qwen-4) |

## 커뮤니티

mancer의 필터 없는 LLM 추론 서비스와 모델 활용에 대해 이야기하는 사용자 커뮤니티입니다.

[mancer](https://discord.gg/6DZaU9Gv9F)

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출처: https://openaitools.app/ko/tool/mancer-tech