# ModelScope vs Replicate AI

ModelScope는 월간 방문 3,085,423, 전월 대비 성장률 +5.1%, 무료 가격 모델을 기록합니다. Replicate AI는 월간 방문 904,038, 성장률 -8.4%, 유료 가격 모델을 기록합니다.

| 지표 | [ModelScope](https://openaitools.app/ko/tool/modelscope-community) | [Replicate AI](https://openaitools.app/ko/tool/replicate-ai) |
| :--- | :--- | :--- |
| 웹사이트 URL | https://www.modelscope.cn | https://replicate.com |
| 카테고리 | 오픈소스 AI 모델, AI 모델, AI 개발자 도구, Large Language Models (LLMs) | AI API, AI 모델, AI 개발자 도구, 오픈소스 AI 모델 |
| 가격 모델 | 무료 | 유료 |
| 월간 방문 수 | 3,085,423 | 904,038 |
| 전월 대비 성장률 | +5.1% | -8.4% |
| 주요 시장 | 중국 | 미국 |
| 직접 방문 | 2,108,104 | 577,501 |
| 리뷰 점수 | 4.5 | 4.6 |
| 저장 수 | 0 | 5 |
| 지원 플랫폼 | 웹사이트 | 웹사이트 |

## 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.

**가격 및 요금제:** 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.

**강점:** 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

**한계:** 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/ko/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.

**가격 및 요금제:** 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.

**강점:** 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

**한계:** 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/ko/tool/replicate-ai.md)

## 자주 묻는 질문

### ModelScope과(와) Replicate AI의 월간 트래픽은 어떻게 비교되나요?

ModelScope의 월간 방문 수는 3,085,423이고, Replicate AI는 904,038입니다. 트래픽 추정치는 제품 품질이 아니라 사용자 규모를 나타냅니다.

### 두 도구의 성장률은 어떻게 비교되나요?

ModelScope의 전월 대비 성장률은 +5.1%이며, Replicate AI는 -8.4%입니다.

### 가격은 어떻게 비교되나요?

ModelScope: 무료. 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: 유료. 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.

## 대안

| # | 도구 이름 | 월간 방문 수 | 전월 대비 성장률 | 가격 모델 | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Hugging Face](https://openaitools.app/ko/tool/hugging-face) | 31,232,542 | +0.1% | 무료+유료, 유료 | ModelScope보다 훨씬 방대한 모델 및 데이터셋 저장소를 제공하는 글로벌 표준 오픈소스 AI 허브입니다. | [.md](https://openaitools.app/ko/tool/hugging-face.md) |
| 2 | [OpenRouter](https://openaitools.app/ko/tool/openrouter-ai) | 19,941,437 | -6.2% | 유료 | 다양한 제공자에 걸쳐 텍스트 및 멀티모달 프롬프트를 라우팅하는 데 탁월하지만, Replicate의 전용 맞춤형 ML 배포 기능은 없습니다. | [.md](https://openaitools.app/ko/tool/openrouter-ai.md) |
| 3 | [Ollama](https://openaitools.app/ko/tool/ollama) | 9,421,973 | +4.3% | Free, Freemium, Paid | LLM 실행을 위한 간소화된 로컬 CLI 런타임이지만, ModelScope와 같은 웹 기반 모델 호스팅 및 데이터셋 탐색 기능은 부족합니다. | [.md](https://openaitools.app/ko/tool/ollama.md) |
| 4 | [Civitai](https://openaitools.app/ko/tool/civitai) | 6,963,136 | +12.8% | 무료+유료 | 이미지 및 미디어 생성 모델에 특화된 우수한 커뮤니티 허브이지만, ModelScope와 같은 폭넓은 NLP 및 코드 지원은 부족합니다. | [.md](https://openaitools.app/ko/tool/civitai.md) |
| 5 | [fal.ai](https://openaitools.app/ko/tool/fal-ai) | 3,093,684 | -3.7% | Paid, pay-as-you-go usage-based pricing | 이미지 및 비디오 모델을 위한 더 빠른 서버리스 실행을 제공하지만, Replicate에 비해 일반화된 커스텀 모델 배포 기능은 다소 적습니다. | [.md](https://openaitools.app/ko/tool/fal-ai.md) |
| 6 | [Together AI](https://openaitools.app/ko/tool/together-ai) | 1,645,930 | +64.9% | 무료+유료, 유료 | LLM 추론과 파인튜닝에 더 집중하지만, Replicate처럼 커뮤니티가 선별한 다양한 미디어 모델 카탈로그는 부족합니다. | [.md](https://openaitools.app/ko/tool/together-ai.md) |
| 7 | [Unsloth AI](https://openaitools.app/ko/tool/unsloth-ai) | 887,457 | -17.6% | 무료 | Specializes specifically in ultra-efficient model fine-tuning, rather than providing a general-purpose model hosting API. | [.md](https://openaitools.app/ko/tool/unsloth-ai.md) |
| 8 | [Open WebUI](https://openaitools.app/ko/tool/open-webui) | 804,534 | -2.8% | 무료+유료 | 로컬 모델을 위한 기능이 풍부한 자체 호스팅 채팅 인터페이스이지만, ModelScope와 같은 원시 모델 가중치 및 데이터셋의 종합적인 저장소는 부족합니다. | [.md](https://openaitools.app/ko/tool/open-webui.md) |
| 9 | [Atlas Cloud](https://openaitools.app/ko/tool/atlas-cloud) | 777,031 | -16.4% | 유료 | Offers a broad mix of generative media models via API, but lacks Replicate's massive community deployment ecosystem. | [.md](https://openaitools.app/ko/tool/atlas-cloud.md) |
| 10 | [Fireworks](https://openaitools.app/ko/tool/fireworks-ai) | 659,687 | +6% | 가격 문의 | 오픈 모델에 대해 뛰어나게 빠른 추론 속도를 제공하지만, Replicate보다 모델 선택 폭이 좁습니다. | [.md](https://openaitools.app/ko/tool/fireworks-ai.md) |

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출처: https://openaitools.app/ko/compare/modelscope-community-vs-replicate-ai

More Markdown: [카테고리](https://openaitools.app/ko/categories.md) · [트래픽 순위](https://openaitools.app/ko/rankings.md) · [llms.txt](https://openaitools.app/ko/llms.txt)