# Replicate AI vs TopicMojo

Replicate AI는 월간 방문 904,038, 전월 대비 성장률 -8.4%, 유료 가격 모델을 기록합니다. TopicMojo는 월간 방문 4,837, 성장률 -13.9%, 무료+유료, 유료 가격 모델을 기록합니다.

| 지표 | [Replicate AI](https://openaitools.app/ko/tool/replicate-ai) | [TopicMojo](https://openaitools.app/ko/tool/topicmojo) |
| :--- | :--- | :--- |
| 웹사이트 URL | https://replicate.com | https://topicmojo.com |
| 카테고리 | AI API, AI 모델, AI 개발자 도구, 오픈소스 AI 모델 | AI 리서치 도구, AI SEO 도구, AI 질문 생성기, Humanizer AI |
| 가격 모델 | 유료 | 무료+유료, 유료 |
| 월간 방문 수 | 904,038 | 4,837 |
| 전월 대비 성장률 | -8.4% | -13.9% |
| 주요 시장 | 미국 | 미국 |
| 직접 방문 | 577,501 | 1,900 |
| 리뷰 점수 | 4.6 | 4 |
| 저장 수 | 5 | 1 |
| 지원 플랫폼 | 웹사이트 | 웹사이트 |

## 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)

## TopicMojo

TopicMojo is a topic and question research tool that doubles as a search listener. It aggregates data from 50+ sources to help you discover topics, questions and intent around a query, then supports content creation with outline, AI content and hashtag tools — all at an affordable monthly price.

**가격 및 요금제:** Freemium / paid: a free trial is available, and paid plans start at around $10 per month with monthly or yearly billing, a limited-time 50% discount, a 7-day money-back guarantee, and an optional SEO add-on.

- **Topic Model:** Build a topic model that pulls data from across the web for any subject, with saved lists, workspaces, custom domains, exports and shareable reports.
- **Question Finder:** Gather the questions people actually ask around your topic across the web so you can understand real intent and answer it.
- **Search Listener:** Be first to cover new and unique searches around a query with the Search Listener tool.
- **Social model:** Build a social model across Reddit, Twitter, Pinterest, TikTok, Instagram and 10+ platforms to see what people are talking about.
- **AI content & hashtag tools:** Blog post idea and outline generators, an AI content tool and Instagram/TikTok hashtag generators to move from research to publishing.
- **SEO data add-on:** An SEO add-on provides search volume, trends similarity, sentiment, hype, CPC and PPC difficulty to help you rank higher on Google.

**강점:** Aggregates 50+ data sources and 10+ social platforms in one dashboard; Question Finder and Search Listener surface real intent and emerging searches; Supports 35+ languages and 215+ countries; Includes AI content, outline and hashtag generators for content production

**한계:** The 50% off promotion is a limited-time teaser, so standard pricing applies after it ends; Some SEO data such as search volume and PPC difficulty is an add-on rather than core; Rich reporting features and saved lists are most valuable on paid plans; As a research and idea tool it does not publish or host finished content for you

[Profile (Markdown)](https://openaitools.app/ko/tool/topicmojo.md)

## 자주 묻는 질문

### Replicate AI과(와) TopicMojo의 월간 트래픽은 어떻게 비교되나요?

Replicate AI의 월간 방문 수는 904,038이고, TopicMojo는 4,837입니다. 트래픽 추정치는 제품 품질이 아니라 사용자 규모를 나타냅니다.

### 두 도구의 성장률은 어떻게 비교되나요?

Replicate AI의 전월 대비 성장률은 -8.4%이며, TopicMojo는 -13.9%입니다.

### 가격은 어떻게 비교되나요?

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. TopicMojo: 무료+유료, 유료. Freemium / paid: a free trial is available, and paid plans start at around $10 per month with monthly or yearly billing, a limited-time 50% discount, a 7-day money-back guarantee, and an optional SEO add-on.

## 대안

| # | 도구 이름 | 월간 방문 수 | 전월 대비 성장률 | 가격 모델 | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [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) |
| 2 | [vidIQ](https://openaitools.app/ko/tool/vidiq) | 7,775,182 | +13.2% | 무료+유료, 무료 체험 | vidIQ is a YouTube growth platform that layers AI coaching, keyword research, daily content ideas, thumbnail tools and real-time analytics on top of a browser extension. It scores your videos for SEO, finds low-competiti | [.md](https://openaitools.app/ko/tool/vidiq.md) |
| 3 | [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) |
| 4 | [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) |
| 5 | [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) |
| 6 | [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) |
| 7 | [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) |
| 8 | [DeepInfra](https://openaitools.app/ko/tool/deep-infra) | 457,810 | -8.9% | 유료 | 오픈 웨이트 모델 실행 비용이 훨씬 저렴하지만, 고급 맞춤 학습 및 배포 기능은 Replicate에 비해 적습니다. | [.md](https://openaitools.app/ko/tool/deep-infra.md) |
| 9 | [Pollinations](https://openaitools.app/ko/tool/pollinations) | 316,875 | +22.8% | 무료 | 생성 AI 개발자를 위한 개방형 인프라와 단일 API | [.md](https://openaitools.app/ko/tool/pollinations.md) |
| 10 | [Novita AI](https://openaitools.app/ko/tool/novita-ai) | 271,371 | -10.4% | 유료 | 합리적인 가격의 서버리스 GPU 실행과 다양한 모델 API를 제공하지만, 개발자 생태계는 조금 덜 다듬어져 있습니다. | [.md](https://openaitools.app/ko/tool/novita-ai.md) |

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

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)