# mancer

OpenAITools.app のテレメトリ（2026-11-11 検証）によると、mancer（mancer.tech）は Large Language Models (LLMs) に分類される AI プラットフォームで、月間 1708 の訪問を生み出し、前月比のトラフィック増減は -7193（-80.8%）です。主要な地域市場はブラジル（トラフィックシェア 93.9%）で、フリーミアムの料金モデルで運営されています。月間ボリューム別の主な競合代替ツールには Abliteration.ai（月間 52.28万訪問）、OpenRouter（月間 1994.14万訪問）、Groq（月間 398.79万訪問）が含まれます。

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.

## 主なテレメトリと仕様

| 指標 | 値 |
| :--- | :--- |
| ツール名 | mancer |
| ハンドル | mancer-tech |
| Status | active |
| Origin | independent |
| Maintenance | active |
| 公式ドメイン | mancer.tech |
| ウェブサイト URL | https://mancer.tech |
| カテゴリ | Large Language Models (LLMs), AI API, AIモデル |
| 料金モデル | フリーミアム |
| 月間訪問数 | 1,708 |
| 前月比トラフィック変動 | -7,193 |
| 前月比成長率 | -80.8% |
| 主要市場 | ブラジル |
| 市場シェア | 93.9% |
| ダイレクト訪問 | 734 |
| オーガニック検索訪問 | — |
| ソーシャル訪問 | — |
| リファラル訪問 | 153 |
| メール訪問 | 47 |
| レビュースコア | 4.1 |
| 保存数 | 0 |
| 対応プラットフォーム | ウェブサイト |
| 請求プラットフォーム | stripe |
| 属性 | 機能: ウェブサイト; 料金: 有料 |
| タグ | LLM, 大規模言語モデル, 推論, API, 無検閲AI, AIサービス |

## 概要

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.

## 料金とプラン

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.

## 主な機能と特長

- **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.

## 主なユースケース

- **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.

## 強み

- 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

## 制約・デメリット

- 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

## よくある質問

### 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 の月間トラフィックと成長トレンドはどうですか？
mancer は現在、月間 1708 の訪問があり、前月比のトラフィック変動は -7193（成長率 -80.8%）です。主要な流入市場はブラジル（シェア 93.9%）で、月間 734 のダイレクト訪問と月間 — のオーガニック検索訪問を含みます。

### mancer は無料ですか？料金モデルは何ですか？
mancer はフリーミアムの料金モデルで運営されています。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. 対応する請求・チェックアウトプラットフォームには stripe が含まれます。

### 2026年における mancer の最適な代替ツールはどれですか？
OpenAITools.app のカテゴリ別トラフィックと機能の適合性に基づくと、mancer の代替ツールトップ5は次のとおりです: 1. Abliteration.ai（月間 52.28万訪問）; 2. OpenRouter（月間 1994.14万訪問）; 3. Groq（月間 398.79万訪問）; 4. OpenAI プラットフォーム（月間 2.35億訪問）; 5. OrcaRouter（月間 97.53万訪問）。

### mancer はどのプラットフォームと主要な AI 機能に対応していますか？
mancer は Large Language Models (LLMs), AI API, AIモデルに分類され、以下のプラットフォームに対応しています: ウェブサイト。中核機能のタグには LLM, 大規模言語モデル, 推論, API, 無検閲AI, AIサービスが含まれます。

## 代替ツール

| ツール名 | 月間訪問数 | 料金モデル | 比較 |
| :--- | :--- | :--- | :--- |
| [Abliteration.ai](https://openaitools.app/ja/tool/abliteration-ai) | 522,766 | フリーミアム、有料、料金は要問い合わせ | [比較](https://openaitools.app/ja/compare/abliteration-ai-vs-mancer-tech) |
| [OpenRouter](https://openaitools.app/ja/tool/openrouter-ai) | 19,941,437 | 有料 | [比較](https://openaitools.app/ja/compare/mancer-tech-vs-openrouter-ai) |
| [Groq](https://openaitools.app/ja/tool/groq) | 3,987,936 | 有料 | [比較](https://openaitools.app/ja/compare/groq-vs-mancer-tech) |
| [OpenAI プラットフォーム](https://openaitools.app/ja/tool/openai) | 234,678,639 | 有料 | [比較](https://openaitools.app/ja/compare/mancer-tech-vs-openai) |
| [OrcaRouter](https://openaitools.app/ja/tool/orcarouter) | 975,300 | フリーミアム | [比較](https://openaitools.app/ja/compare/mancer-tech-vs-orcarouter) |
| [RightNow Inference（RunInfra）](https://openaitools.app/ja/tool/runinfra) | 18,110 | 無料トライアル、有料、料金は要問い合わせ | [比較](https://openaitools.app/ja/compare/mancer-tech-vs-runinfra) |
| [DeepSeek](https://openaitools.app/ja/tool/deepseek) | 372,761,591 | フリーミアム | [比較](https://openaitools.app/ja/compare/deepseek-vs-mancer-tech) |
| [BigModel（智譜 GLM オープンプラットフォーム）](https://openaitools.app/ja/tool/bigmodel) | 5,700,686 | フリーミアム | [比較](https://openaitools.app/ja/compare/bigmodel-vs-mancer-tech) |
| [Atlas Cloud](https://openaitools.app/ja/tool/atlas-cloud) | 777,031 | 有料 | [比較](https://openaitools.app/ja/compare/atlas-cloud-vs-mancer-tech) |
| [DeepInfra](https://openaitools.app/ja/tool/deep-infra) | 457,810 | 有料 | [比較](https://openaitools.app/ja/compare/deep-infra-vs-mancer-tech) |
| [Chutes](https://openaitools.app/ja/tool/chutes) | 250,187 | 有料 | [比較](https://openaitools.app/ja/compare/chutes-vs-mancer-tech) |
| [Qwen 4 (Alibaba Qwen4)](https://openaitools.app/ja/tool/qwen-4) | 35,101,353 | フリーミアム | [比較](https://openaitools.app/ja/compare/mancer-tech-vs-qwen-4) |

## コミュニティ

mancerのフィルタリングなしLLM推論サービスとモデル活用についてのユーザーコミュニティです。

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

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出典: https://openaitools.app/ja/tool/mancer-tech