# ModelScope vs Replicate AI

ModelScope は月間 3,085,423 訪問、前月比成長率 +5.1%、料金体系無料を記録しています。Replicate AI は月間 904,038 訪問、成長率 -8.4%、料金体系有料を記録しています。

| 指標 | [ModelScope](https://openaitools.app/ja/tool/modelscope-community) | [Replicate AI](https://openaitools.app/ja/tool/replicate-ai) |
| :--- | :--- | :--- |
| ウェブサイト URL | https://www.modelscope.cn | https://replicate.com |
| カテゴリ | オープンソース AI モデル, AIモデル, AI開発者ツール, Large Language Models (LLMs) | AI API, AIモデル, AI開発者ツール, オープンソース AI モデル |
| 料金モデル | 無料 | 有料 |
| 月間訪問数 | 3,085,423 | 904,038 |
| 前月比成長率 | +5.1% | -8.4% |
| 主要市場 | 中国 | アメリカ合衆国 |
| ダイレクト訪問 | 2,108,104 | 577,501 |
| レビュースコア | 4.5 | 4.6 |
| 保存数 | 0 | 5 |
| 対応プラットフォーム | ウェブサイト | ウェブサイト |

## ModelScope

ModelScope (魔搭社区) is an open-source AI community and model service platform that hosts thousands of pretrained models, datasets, and ready-to-run demos, backed by Alibaba Cloud infrastructure.

**料金とプラン:** Free to use. Browsing, downloading models and datasets, and running online demos are free; free GPU/CPU notebook credits and hosted inference are available, with additional cloud resources tied to Alibaba Cloud services.

- **Model & Dataset Hub:** Browse and download thousands of pretrained models and datasets across NLP, vision, audio, and multimodal tasks.
- **One-click Online Demos:** Try models directly in the browser through hosted inference demos without local setup.
- **Free Notebook Compute:** Run training and fine-tuning in cloud notebooks with complimentary GPU and CPU resources.
- **Python Library & SDK:** Integrate ModelScope models into your own pipelines using the official Python package and APIs.
- **Community & Benchmarks:** Join competitions, publish model cards, and compare results through community benchmarks and leaderboards.

**強み:** Huge, free catalog of models and datasets; Built-in online demos require no installation; Complimentary GPU/CPU notebook compute; Strong integration with Alibaba Cloud for scaling

**制約・デメリット:** Much of the documentation is Chinese-first; Hosted features may require an account and regional access; Interface can feel dense for newcomers

[Profile (Markdown)](https://openaitools.app/ja/tool/modelscope-community.md)

## Replicate AI

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.

- **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.

**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

**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

[Profile (Markdown)](https://openaitools.app/ja/tool/replicate-ai.md)

## よくある質問

### ModelScope と Replicate AI の月間トラフィックはどのように比較されますか？

ModelScope の月間訪問数は 3,085,423、Replicate AI は 904,038 です。トラフィックの推定値はオーディエンスの規模を示すものであり、製品の品質を示すものではありません。

### 成長率はどのように比較されますか？

ModelScope の前月比成長率は +5.1%、Replicate AI は -8.4% です。

### 料金はどのように比較されますか？

ModelScope: 無料。Free to use. Browsing, downloading models and datasets, and running online demos are free; free GPU/CPU notebook credits and hosted inference are available, with additional cloud resources tied to Alibaba Cloud services. Replicate AI: 有料。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.

## 代替ツール

| # | ツール名 | 月間訪問数 | 前月比成長率 | 料金モデル | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Hugging Face](https://openaitools.app/ja/tool/hugging-face) | 31,232,542 | +0.1% | フリーミアム、有料 | ModelScopeよりもは遥かに大規模なモデルおよびデータセットのレポジトリを提供する、グローバル標準のオープンソースAIハブです。 | [.md](https://openaitools.app/ja/tool/hugging-face.md) |
| 2 | [OpenRouter](https://openaitools.app/ja/tool/openrouter-ai) | 19,941,437 | -6.2% | 有料 | 多様なプロバイダー間でのテキストやマルチモーダルプロンプトのルーティングに優れていますが、Replicateのような専用のカスタムMLデプロイ機能はありません。 | [.md](https://openaitools.app/ja/tool/openrouter-ai.md) |
| 3 | [Ollama](https://openaitools.app/ja/tool/ollama) | 9,421,973 | +4.3% | Free, Freemium, Paid | LLMを実行するための効率的なローカルCLIランタイムですが、ModelScopeのようなWebベースのモデルホスティングやデータセットの探索機能はありません。 | [.md](https://openaitools.app/ja/tool/ollama.md) |
| 4 | [Civitai](https://openaitools.app/ja/tool/civitai) | 6,963,136 | +12.8% | フリーミアム | 画像やメディア生成モデルに特化した優れたコミュニティハブですが、ModelScopeのような幅広いNLPやコードのサポートはありません。 | [.md](https://openaitools.app/ja/tool/civitai.md) |
| 5 | [fal.ai](https://openaitools.app/ja/tool/fal-ai) | 3,093,684 | -3.7% | Paid, pay-as-you-go usage-based pricing | 画像や動画モデルのサーバーレス実行が高速ですが、Replicateよりも汎用的なカスタムモデルのデプロイは少なくなります。 | [.md](https://openaitools.app/ja/tool/fal-ai.md) |
| 6 | [Together AI](https://openaitools.app/ja/tool/together-ai) | 1,645,930 | +64.9% | フリーミアム、有料 | LLMの推論とファインチューニングに強みを持っていますが、Replicateのようなコミュニティキュレーションによる多様なメディアモデルカタログはありません。 | [.md](https://openaitools.app/ja/tool/together-ai.md) |
| 7 | [Unsloth AI](https://openaitools.app/ja/tool/unsloth-ai) | 887,457 | -17.6% | 無料 | Specializes specifically in ultra-efficient model fine-tuning, rather than providing a general-purpose model hosting API. | [.md](https://openaitools.app/ja/tool/unsloth-ai.md) |
| 8 | [Open WebUI](https://openaitools.app/ja/tool/open-webui) | 804,534 | -2.8% | フリーミアム | ローカルモデル向けの機能豊富なセルフホスト型チャットインターフェースですが、ModelScopeのような生モデルの重みやデータセットの包括的なリポジトリはありません。 | [.md](https://openaitools.app/ja/tool/open-webui.md) |
| 9 | [Atlas Cloud](https://openaitools.app/ja/tool/atlas-cloud) | 777,031 | -16.4% | 有料 | Offers a broad mix of generative media models via API, but lacks Replicate's massive community deployment ecosystem. | [.md](https://openaitools.app/ja/tool/atlas-cloud.md) |
| 10 | [Fireworks](https://openaitools.app/ja/tool/fireworks-ai) | 659,687 | +6% | 料金は要問い合わせ | オープンモデル向けに抜群に高速な推論速度を実現しますが、Replicateよりもモデルの選択肢は狭いです。 | [.md](https://openaitools.app/ja/tool/fireworks-ai.md) |

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出典: https://openaitools.app/ja/compare/modelscope-community-vs-replicate-ai

More Markdown: [カテゴリ](https://openaitools.app/ja/categories.md) · [トラフィックランキング](https://openaitools.app/ja/rankings.md) · [llms.txt](https://openaitools.app/ja/llms.txt)