# Replicate AI

OpenAITools.app のテレメトリ（2026-11-11 検証）によると、Replicate AI（replicate.com）は AI API に分類される AI プラットフォームで、月間 90.4万の訪問を生み出し、前月比のトラフィック増減は -8.26万（-8.4%）です。主要な地域市場はアメリカ合衆国（トラフィックシェア 16.3%）で、有料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 Claude（月間 12.53億訪問）、DeepSeek（月間 3.73億訪問）、OpenAI プラットフォーム（月間 2.35億訪問）が含まれます。

Replicate is a cloud API for running, fine-tuning, and deploying machine learning models. Spin up open-source and hosted models — from image, video, and audio generation to speech synthesis, captioning, and LLM inference — with one line of code, or package your own model with Cog and put it behind a production-ready API.

## 主なテレメトリと仕様

| 指標 | 値 |
| :--- | :--- |
| ツール名 | Replicate AI |
| ハンドル | replicate-ai |
| Status | active |
| Origin | independent |
| Maintenance | active |
| 公式ドメイン | replicate.com |
| ウェブサイト URL | https://replicate.com |
| カテゴリ | AI API, AIモデル, AI開発者ツール, オープンソース AI モデル, AI画像生成, AI テキスト生成, AI Video Generator, AI 音楽生成, AI テキスト読み上げ, AI写真修復, AI 画像説明文ジェネレーター, AI 背景除去ツール, AIロゴ生成ツール, AI インペインティング |
| 料金モデル | 有料 |
| 月間訪問数 | 904,038 |
| 前月比トラフィック変動 | -82,592 |
| 前月比成長率 | -8.4% |
| 主要市場 | アメリカ合衆国 |
| 市場シェア | 16.3% |
| ダイレクト訪問 | 577,501 |
| オーガニック検索訪問 | — |
| ソーシャル訪問 | — |
| リファラル訪問 | 32,491 |
| メール訪問 | 11,205 |
| レビュースコア | 4.6 |
| 保存数 | 5 |
| 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 |  |
| 属性 | 機能: ウェブサイト; 料金: 有料 |
| タグ | 機械学習API, クラウドコンピューティング, AI デプロイ, モデルのファインチューニング, 画像生成, 動画生成, テキスト生成, オープンソースモデル |

## 概要

Replicate is a cloud API for running, fine-tuning, and deploying machine learning models. Spin up open-source and hosted models — from image, video, and audio generation to speech synthesis, captioning, and LLM inference — with one line of code, or package your own model with Cog and put it behind a production-ready API.

## 料金とプラン

Paid, usage-based — you only pay for what you use. Most public models are billed by runtime at per-second hardware rates; some models are billed per input and output (for example, $0.04 per output image on Flux 1.1 Pro, $3.75 per million input tokens on DeepSeek R1). Published GPU hardware ranges from about $0.81/hr for a T4 up to roughly $43.92/hr for 8x H100. Private deployments bill for setup, idle, and active time on dedicated hardware, and you can start for free. Enterprise and volume discounts available.

## 主な機能と特長

- **Thousands of models behind one API:** Run image, video, audio, speech, and language models through a uniform API surface, with official models for FLUX, Nano Banana, Seedream, Grok Imagine, MiniMax, Wan, Seedance, and more.
- **One-line-of-code inference:** Set up a model in minutes and make an API call in Python, Node, or plain HTTP after authenticating with an API token.
- **Cog packaging and custom deployments:** Package your own model with Cog, an open-source tool for packaging machine learning models, and deploy it on dedicated hardware that scales up and down with demand.
- **Model fine-tuning:** Fine-tune models on your own data, including fast-booting fine-tunes that are billed only while actively processing requests rather than for idle time.
- **Published hardware and inference rates:** Transparent per-second hardware rates across CPU, T4, L40S, A100, H100, and H200 configurations, with committed-spend options for multi-GPU capacity.

## 主なユースケース

- **Add generative AI features to a product (Application developer):** Wire image, video, speech, and LLM models into an application through one consistent API instead of maintaining separate provider integrations for each capability.
- **Deploy a custom model behind an API (ML engineer):** Package proprietary or custom-trained weights with Cog and serve them on dedicated hardware that scales automatically, keeping the same calling convention as public models.
- **Generate images and video at scale (Creative technologist):** Run FLUX, Seedream, Ideogram, and video models such as Wan or Seedance for batch asset generation, using each model page's cost estimate to control spend.
- **Fine-tune models on custom data (Data team):** Fine-tune models on domain-specific data using fast-booting fine-tunes, paying only while the model actively processes requests.

## 強み

- Very broad model catalog spanning image, video, audio, speech, and LLMs behind one consistent API
- Usage-based billing with openly published per-second hardware and per-output model rates
- Cog makes it straightforward to package and deploy your own private models
- Automatic scaling handles traffic spikes without manual capacity planning
- Fast-booting fine-tunes avoid paying for idle time
- Start for free before committing to spend

## 制約・デメリット

- Costs are consumption-based and can rise quickly with heavy traffic or always-on private deployments
- Private models bill for idle and setup time, not just request processing, unless they are fast-booting fine-tunes
- Long-running GPU models can queue on shared public capacity during peak periods
- It is an infrastructure layer, so you still need your own prompts, pipelines, and application code

## よくある質問

### How does Replicate pricing work?
You only pay for what you use. Most public models are billed by the time they take to run, at a per-second rate set by the hardware in use. Some models are billed by input and output instead — for example Flux 1.1 Pro at $0.04 per output image or DeepSeek R1 at $3.75 per million input tokens. You can get started for free.

### Can I run my own private models?
Yes. You can deploy your own custom models using Cog, Replicate's open-source tool for packaging machine learning models. Unlike public models, most private models run on dedicated hardware, so you are billed for all the time instances are online.

### Does Replicate host open-source models or only my own?
They are hosted on the platform. It hosts thousands of community-contributed open-source models and a wide variety of proprietary models, all with working production APIs rather than demos.

### What happens if I get a lot of traffic?
Replicate scales automatically to handle your traffic. If you expect very high volume, enterprise and volume discounts are available, and multi-GPU A100, H100, and H200 capacity is offered through committed-spend contracts.

### What language tooling is available?
There are official integrations for Python, Node, and HTTP. You authenticate with an API token, choose a model by name, pass an input object, and run it, then read the output.

### Replicate AI の月間トラフィックと成長トレンドはどうですか？
Replicate AI は現在、月間 90.4万の訪問があり、前月比のトラフィック変動は -8.26万（成長率 -8.4%）です。主要な流入市場はアメリカ合衆国（シェア 16.3%）で、月間 57.75万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。

### Replicate AI は無料ですか？料金モデルは何ですか？
Replicate AI は有料の料金モデルで運営されています。Paid, usage-based — you only pay for what you use. Most public models are billed by runtime at per-second hardware rates; some models are billed per input and output (for example, $0.04 per output image on Flux 1.1 Pro, $3.75 per million input tokens on DeepSeek R1). Published GPU hardware ranges from about $0.81/hr for a T4 up to roughly $43.92/hr for 8x H100. Private deployments bill for setup, idle, and active time on dedicated hardware, and you can start for free. Enterprise and volume discounts available. 対応する請求・チェックアウトプラットフォームには未掲載が含まれます。

### 2026年における Replicate AI 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、Replicate AI の代替ツールトップ5は次のとおりです: 1. Claude（月間 12.53億訪問）; 2. DeepSeek（月間 3.73億訪問）; 3. OpenAI プラットフォーム（月間 2.35億訪問）; 4. Google AI Studio（月間 1.13億訪問）; 5. DeepL（月間 9511.09万訪問）。

### Replicate AI 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？
Replicate AI は AI API, AIモデル, AI開発者ツール, オープンソース 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機械学習API, クラウドコンピューティング, AI デプロイ, モデルのファインチューニング, 画像生成, 動画生成が含まれます。

## 代替ツール

| ツール名 | 月間訪問数 | 料金モデル | 比較 |
| :--- | :--- | :--- | :--- |
| [Claude](https://openaitools.app/ja/tool/claude-2) | 1,253,439,413 | フリーミアム | [比較](https://openaitools.app/ja/compare/claude-2-vs-replicate-ai) |
| [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-replicate-ai) |
| [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/openai-vs-replicate-ai) |
| [Google AI Studio](https://openaitools.app/ja/tool/google-ai-studio) | 112,620,020 | フリーミアム | [比較](https://openaitools.app/ja/compare/google-ai-studio-vs-replicate-ai) |
| [DeepL](https://openaitools.app/ja/tool/deepl) | 95,110,871 | フリーミアム | [比較](https://openaitools.app/ja/compare/deepl-vs-replicate-ai) |
| [ElevenLabs](https://openaitools.app/ja/tool/elevenlabs-io) | 42,396,771 | フリーミアム、有料、料金は要問い合わせ | [比較](https://openaitools.app/ja/compare/elevenlabs-io-vs-replicate-ai) |
| [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/qwen-4-vs-replicate-ai) |
| [ZeroGPT](https://openaitools.app/ja/tool/zerogpt) | 32,864,541 | フリーミアム、有料 | [比較](https://openaitools.app/ja/compare/replicate-ai-vs-zerogpt) |
| [Tripo AI](https://openaitools.app/ja/tool/tripo-ai) | 25,209,679 | フリーミアム | [比較](https://openaitools.app/ja/compare/replicate-ai-vs-tripo-ai) |
| [GPTZero](https://openaitools.app/ja/tool/gptzero-me) | 23,246,989 | フリーミアム、有料 | [比較](https://openaitools.app/ja/compare/gptzero-me-vs-replicate-ai) |
| [OpenRouter](https://openaitools.app/ja/tool/openrouter-ai) | 19,941,437 | 有料 | [比較](https://openaitools.app/ja/compare/openrouter-ai-vs-replicate-ai) |
| [Claude](https://openaitools.app/ja/tool/claude-3) | 18,695,610 | フリーミアム、料金は要問い合わせ | [比較](https://openaitools.app/ja/compare/claude-3-vs-replicate-ai) |

## コミュニティ

APIでAIを動かす。カスタムモデルを大規模にデプロイ。

[Replicate AI](https://discord.gg/replicate)

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出典: https://openaitools.app/ja/tool/replicate-ai