# Replicate AI vs Runware

Replicate AI ghi nhận 904.038 lượt truy cập hàng tháng với mức tăng trưởng so với tháng trước là -8,4% và giá Trả phí. Runware ghi nhận 402.862 lượt truy cập hàng tháng với mức tăng trưởng +27,1% và giá Trả phí.

| Chỉ số | [Replicate AI](https://openaitools.app/vi/tool/replicate-ai) | [Runware](https://openaitools.app/vi/tool/runware) |
| :--- | :--- | :--- |
| URL trang web | https://replicate.com | https://runware.ai |
| Danh mục | AI API, Mô hình AI, Công cụ cho lập trình viên AI, Mô hình AI mã nguồn mở | AI API, AI tạo hình ảnh, Text to Image, Mô hình AI |
| Mô hình giá | Trả phí | Trả phí |
| Lượt truy cập hàng tháng | 904.038 | 402.862 |
| Tốc độ tăng trưởng theo tháng | -8,4% | +27,1% |
| Thị trường chính | Hoa Kỳ | Hoa Kỳ |
| Truy cập trực tiếp | 577.501 | 189.796 |
| Điểm đánh giá | 4,6 | 4,5 |
| Số lượt lưu | 5 | 0 |
| Nền tảng được hỗ trợ | Trang web | Trang web |

## 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.

**Giá & các gói:** 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.

**Điểm mạnh:** 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

**Hạn chế:** 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/vi/tool/replicate-ai.md)

## Runware

Runware is an AI inference platform that exposes an enormous model catalog — images, video, audio, LLMs and 3D — through a single API endpoint, alongside serverless GPU compute and reserved capacity running on modular data centers the company designs and operates itself. It is aimed at developers and product teams who want to ship generative features without managing infrastructure.

**Giá & các gói:** Pay-as-you-go with no subscription required. Managed inference is billed per generation, per second of video, per character of audio, or per 1M tokens for LLMs; published rates include examples such as FLUX 3 Image Klein from about $0.003 per image and GLM-5.3-Flash at $0.15 per 1M input tokens. Serverless GPU compute is metered by the second (RTX PRO 6000 listed around $1.99 per GPU-hour) and scales to zero; reserved capacity is advertised as low as $0.63 per GPU-hour on term commitments, with dedicated bare-metal clusters available from 72 GPUs. Failed or rate-limited requests are not charged, new users signing up with a business email receive $2 in free credits, and volume discounts are available via sales.

- **One API for every modality:** Image, video, audio, LLM and 3D tasks all POST to a single endpoint as an array, so mixed-modality batches can travel in one request with shared auth and billing.
- **400K+ model catalog:** Browse hosted, partner and community models through one addressing scheme, control parameters such as stacked LoRAs and swapped VAEs on open models, and add your own uploads.
- **Serverless and reserved GPU compute:** Bring your own container and weights to serverless GPUs billed by the second that scale to zero when idle, or commit to reserved capacity and bare-metal clusters for a lower per-hour rate.
- **Sonic Pods and the Sonic Inference Engine:** Purpose-built modular data centers plus an orchestration layer that keeps weights preloaded across regions and routes requests to pods that already hold the model in memory.
- **Developer tooling and agent integrations:** A hosted MCP server, CLI, skill files, playground, model schemas and llms.txt let you wire Runware into Claude Code, Cursor, Codex or any MCP-capable client with minimal setup.
- **Enterprise-grade trust and compliance:** SOC 2, ISO 27001 and GDPR compliance, EU and US data residency, SSO/SAML, configurable MFA, a strict no-training-on-customer-data policy and optional Zero Data Retention.

**Điểm mạnh:** Unusually broad catalog — hundreds of thousands of models behind one consistent endpoint and API key; Aggressive published pricing, with claims of up to 10x lower cost per generation than market rates; Both managed inference and raw compute in one platform, so you can migrate from API calls to your own containers without changing vendors; Real infrastructure differentiation through self-designed modular data centers rather than reselling someone else's capacity

**Hạn chế:** The breadth of the catalog and the mix of hosted, partner and community models can be overwhelming when choosing a model; Only a subset of models (currently around 300+) has published pricing on the rate sheet, so some community models require checking the playground for cost; LLM billing splits input, output and cache-read token dimensions, adding complexity to cost forecasting; Bare-metal and high-volume reserved capacity are sales-gated rather than self-serve

[Profile (Markdown)](https://openaitools.app/vi/tool/runware.md)

## Câu hỏi thường gặp

### Replicate AI và Runware so sánh thế nào về lưu lượng hàng tháng?

Replicate AI có 904.038 lượt truy cập hàng tháng, trong khi Runware có 402.862. Ước tính lưu lượng phản ánh quy mô khán giả chứ không phải chất lượng sản phẩm.

### Tốc độ tăng trưởng của họ so sánh thế nào?

Replicate AI có tốc độ tăng trưởng so với tháng trước là -8,4%; Runware là +27,1%.

### Giá cả so sánh thế nào?

Replicate AI: Trả phí. 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. Runware: Trả phí. Pay-as-you-go with no subscription required. Managed inference is billed per generation, per second of video, per character of audio, or per 1M tokens for LLMs; published rates include examples such as FLUX 3 Image Klein from about $0.003 per image and GLM-5.3-Flash at $0.15 per 1M input tokens. Serverless GPU compute is metered by the second (RTX PRO 6000 listed around $1.99 per GPU-hour) and scales to zero; reserved capacity is advertised as low as $0.63 per GPU-hour on term commitments, with dedicated bare-metal clusters available from 72 GPUs. Failed or rate-limited requests are not charged, new users signing up with a business email receive $2 in free credits, and volume discounts are available via sales.

## Lựa chọn thay thế

| # | Tên công cụ | Lượt truy cập hàng tháng | Tốc độ tăng trưởng theo tháng | Mô hình giá | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [OpenRouter](https://openaitools.app/vi/tool/openrouter-ai) | 19.941.437 | -6,2% | Trả phí | Một API key cho hàng trăm mô hình AI từ mọi nhà cung cấp | [.md](https://openaitools.app/vi/tool/openrouter-ai.md) |
| 2 | [RunningHub](https://openaitools.app/vi/tool/runninghub) | 3.105.554 | -28,5% | Freemium | RunningHub is a cloud platform for running ComfyUI workflows online, building AI apps, and generating images and videos with hosted models and APIs. | [.md](https://openaitools.app/vi/tool/runninghub.md) |
| 3 | [fal.ai](https://openaitools.app/vi/tool/fal-ai) | 3.093.684 | -3,7% | Paid, pay-as-you-go usage-based pricing | Cung cấp một đám mây hướng đến nhà phát triển tương tự để suy luận media tạo sinh cực nhanh, nhưng với các cấp giá khác nhau. | [.md](https://openaitools.app/vi/tool/fal-ai.md) |
| 4 | [Together AI](https://openaitools.app/vi/tool/together-ai) | 1.645.930 | +64,9% | Freemium, Trả phí | Tập trung mạnh hơn vào việc lưu trữ LLM mã nguồn mở và các cụm chuyên dụng, nhưng ít phù hợp hơn cho việc tạo hình ảnh tức, thì. | [.md](https://openaitools.app/vi/tool/together-ai.md) |
| 5 | [Unsloth AI](https://openaitools.app/vi/tool/unsloth-ai) | 887.457 | -17,6% | Miễn phí | Specializes specifically in ultra-efficient model fine-tuning, rather than providing a general-purpose model hosting API. | [.md](https://openaitools.app/vi/tool/unsloth-ai.md) |
| 6 | [Atlas Cloud](https://openaitools.app/vi/tool/atlas-cloud) | 777.031 | -16,4% | Trả phí | Cung cấp quyền truy cập thống nhất vào các mô hình truyền thông tạo sinh, nhưng thiếu sự tập trung chuyên biệt của Runware vào tốc độ suy luận thô. | [.md](https://openaitools.app/vi/tool/atlas-cloud.md) |
| 7 | [Fireworks](https://openaitools.app/vi/tool/fireworks-ai) | 659.687 | +6% | Liên hệ để biết giá | Mang lại tốc độ suy luận cực kỳ nhanh cho các mô hình mở, nhưng có lựa chọn mô hình hạn chế hơn so với Replicate. | [.md](https://openaitools.app/vi/tool/fireworks-ai.md) |
| 8 | [DeepInfra](https://openaitools.app/vi/tool/deep-infra) | 457.810 | -8,9% | Trả phí | Xuất sắc trong việc suy luận mô hình open-weight chi phí thấp, nhưng cung cấp ít công cụ chuyên specialized hơn cho các pipeline tạo hình ảnh phức tạp. | [.md](https://openaitools.app/vi/tool/deep-infra.md) |
| 9 | [Pollinations](https://openaitools.app/vi/tool/pollinations) | 316.875 | +22,8% | Miễn phí | Hạ tầng mở và một API cho nhà phát triển AI tạo sinh | [.md](https://openaitools.app/vi/tool/pollinations.md) |
| 10 | [Novita AI](https://openaitools.app/vi/tool/novita-ai) | 271.371 | -10,4% | Trả phí | Tập trung mạnh vào tạo ảnh và API Stable Diffusion, nhưng cung cấp giá GPU serverless có phần khác biệt. | [.md](https://openaitools.app/vi/tool/novita-ai.md) |

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Nguồn: https://openaitools.app/vi/compare/replicate-ai-vs-runware

More Markdown: [Danh mục](https://openaitools.app/vi/categories.md) · [Bảng xếp hạng lưu lượng](https://openaitools.app/vi/rankings.md) · [llms.txt](https://openaitools.app/vi/llms.txt)