# mancer

根据 OpenAITools.app 于 2026-11-11 核对的流量数据，mancer（mancer.tech）是一个收录在 Large Language Models (LLMs) 下的 AI 平台，月访问量为 1708，月度环比流量变化为 -7193（-80.8%）。其主要地理市场为巴西（93.9% 流量份额），采用免费增值定价模式。按月流量计算的主要竞争替代方案包括 Abliteration.ai（52.28万次访问/月），OpenRouter（1994.14万次访问/月），Groq（398.79万次访问/月）。

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.

## 关键遥测与规格

| 指标 | 数值 |
| :--- | :--- |
| 工具名称 | mancer |
| 标识 | mancer-tech |
| Status | active |
| Origin | independent |
| Maintenance | active |
| 官方域名 | mancer.tech |
| 官网地址 | https://mancer.tech |
| 分类 | Large Language Models (LLMs), AI API, AI Models |
| 定价模式 | 免费增值 |
| 月访问量 | 1,708 |
| 月度环比流量变化 | -7,193 |
| 月度环比增长率 | -80.8% |
| 主要市场 | 巴西 |
| 市场份额 | 93.9% |
| 直接访问量 | 734 |
| 自然搜索访问 | — |
| 社交访问 | — |
| 推荐访问 | 153 |
| 邮件访问 | 47 |
| 评价得分 | 4.1 |
| 收藏数 | 0 |
| 支持平台 | 网站 |
| 计费平台 | stripe |
| 属性 | 功能: 网站; 定价: 付费 |
| 标签 | LLM, 大语言模型, 推理, API, 无过滤 AI, AI 服务 |

## 概览

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.

## 定价与套餐

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.

## 关键功能与能力

- **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.

## 主要用例

- **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.

## 优势

- 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

## 局限

- 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

## 常见问题

### 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.

### mancer 的月流量和增长趋势如何？
mancer 目前每月获得 1708 访问量，月度环比流量变化为 -7193（增长率 -80.8%）。其主要来源市场是巴西（93.9% 份额），包括每月 734 次直接访问和每月 — 次自然搜索访问。

### mancer 免费吗？它的定价模式是什么？
mancer 采用免费增值定价模式。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. 支持的计费和结账平台包括：stripe。

### 2026 年 mancer 的最佳替代方案有哪些？
基于 OpenAITools.app 的分类流量和功能契合度，mancer 的前五个替代方案是：1. Abliteration.ai（52.28万次访问/月）; 2. OpenRouter（1994.14万次访问/月）; 3. Groq（398.79万次访问/月）; 4. OpenAI 平台（2.35亿次访问/月）; 5. OrcaRouter（97.53万次访问/月）。

### mancer 支持哪些平台和核心 AI 能力？
mancer 被归类在 Large Language Models (LLMs), AI API, AI Models 下，支持以下平台：网站，其核心能力标签包括：LLM, 大语言模型, 推理, API, 无过滤 AI, AI 服务。

## 替代工具

| 工具名称 | 月访问量 | 定价模式 | 对比 |
| :--- | :--- | :--- | :--- |
| [Abliteration.ai](https://openaitools.app/zh/tool/abliteration-ai) | 522,766 | 免费增值，付费，定价请咨询 | [对比](https://openaitools.app/zh/compare/abliteration-ai-vs-mancer-tech) |
| [OpenRouter](https://openaitools.app/zh/tool/openrouter-ai) | 19,941,437 | 付费 | [对比](https://openaitools.app/zh/compare/mancer-tech-vs-openrouter-ai) |
| [Groq](https://openaitools.app/zh/tool/groq) | 3,987,936 | 付费 | [对比](https://openaitools.app/zh/compare/groq-vs-mancer-tech) |
| [OpenAI 平台](https://openaitools.app/zh/tool/openai) | 234,678,639 | 付费 | [对比](https://openaitools.app/zh/compare/mancer-tech-vs-openai) |
| [OrcaRouter](https://openaitools.app/zh/tool/orcarouter) | 975,300 | 免费增值 | [对比](https://openaitools.app/zh/compare/mancer-tech-vs-orcarouter) |
| [RightNow Inference（RunInfra）](https://openaitools.app/zh/tool/runinfra) | 18,110 | 免费试用，付费，定价请咨询 | [对比](https://openaitools.app/zh/compare/mancer-tech-vs-runinfra) |
| [DeepSeek](https://openaitools.app/zh/tool/deepseek) | 372,761,591 | 免费增值 | [对比](https://openaitools.app/zh/compare/deepseek-vs-mancer-tech) |
| [BigModel（智谱大模型开放平台）](https://openaitools.app/zh/tool/bigmodel) | 5,700,686 | 免费增值 | [对比](https://openaitools.app/zh/compare/bigmodel-vs-mancer-tech) |
| [Atlas Cloud](https://openaitools.app/zh/tool/atlas-cloud) | 777,031 | 付费 | [对比](https://openaitools.app/zh/compare/atlas-cloud-vs-mancer-tech) |
| [DeepInfra](https://openaitools.app/zh/tool/deep-infra) | 457,810 | 付费 | [对比](https://openaitools.app/zh/compare/deep-infra-vs-mancer-tech) |
| [Chutes](https://openaitools.app/zh/tool/chutes) | 250,187 | 付费 | [对比](https://openaitools.app/zh/compare/chutes-vs-mancer-tech) |
| [Qwen 4 (通义千问 4)](https://openaitools.app/zh/tool/qwen-4) | 35,101,353 | 免费增值 | [对比](https://openaitools.app/zh/compare/mancer-tech-vs-qwen-4) |

## 社区

围绕 mancer 无限制 LLM 推理服务与模型使用的用户社区。

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

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来源：https://openaitools.app/zh/tool/mancer-tech