# Replicate AI vs Skillry

Replicate AI records 904,038 monthly visits with -8.4% month-over-month growth and Paid pricing. Skillry records 535,817 monthly visits with +1,762.1% growth and Freemium pricing.

| Metric | [Replicate AI](https://openaitools.app/tool/replicate-ai) | [Skillry](https://openaitools.app/tool/skillry) |
| :--- | :--- | :--- |
| Website URL | https://replicate.com | https://skillry.dev |
| Categories | AI API, AI Models, AI Developer Tools, Open Source AI Models | AI Code Assistant, AI Design Assistant, AI Website Builder, AI Presentation Generator |
| Pricing Model | Paid | Freemium |
| Monthly Visits | 904,038 | 535,817 |
| MoM Growth Rate | -8.4% | +1,762.1% |
| Primary Market | United States | United States |
| Direct Visits | 577,501 | 242,881 |
| Review Score | 4.6 | 4.5 |
| Saved Count | 5 | 0 |
| Supported Platforms | Website | Website |

## Replicate AI

Replicate's core pitch is a uniform interface over thousands of models. Models range from image generators such as FLUX, GPT Image, Nano Banana, Seedream, and Recraft, to video models from MiniMax, ByteDance, xAI, and Alibaba, plus speech, music, captioning, image restoration, and large language models. Each model page exposes concrete inputs, versioned releases, and cost estimates, and you call them the same way regardless of the underlying framework. The catalog blends community-contributed open-source models with officially maintained proprietary ones, and the company positions every listed model as actually working with a production-ready API rather than a demo.

Beyond running hosted models, Replicate is a deployment and training layer. Cog, the project's open-source packaging tool, converts a model into a container with a generated HTTP API, so your own weights can be served from the same interface. Public models run on shared infrastructure and you pay only for processing time, while private models run on dedicated hardware and are billed for the full time instances are online — setup, idle, and active — with an exception for fast-booting fine-tunes that only bill when processing. Automatic scaling handles traffic spikes without manual capacity planning.

Pricing is strictly consumption-based. Public models are usually billed per second of runtime according to the hardware selected, with some billed per input and output instead; published examples include Flux 1.1 Pro at $0.04 per output image and DeepSeek R1 at $3.75 per million input tokens. Hardware rates are public too, from a T4 at roughly $0.81 per hour up to eight H100s at about $43.92 per hour. You can start free, and enterprise contracts unlock additional multi-GPU A100, H100, and H200 capacity.

**Pricing & Plans:** 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.

**Strengths:** 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

**Limitations:** 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/tool/replicate-ai.md)

## Skillry

Skillry is a curated library of Agent Skills — reusable packages of instructions, templates and scripts that AI coding agents can install and run. The concept is straightforward: give an agent a well-designed workflow, and it can produce a complete, presentable artifact rather than a rough draft. Skillry focuses on deliverables you would actually show, spanning web pages and landing pages, slide decks, images such as OG graphics, and short videos.

The key differentiator is that Skillry designs the output first. Its team art-directs a finished piece — a page, a deck, a film — then writes the original instructions, templates and scripts that let your agent reproduce that style. Each Skill page displays a real result it made, so you can see the visual point of view before installing. Skills are maintained by the same team as agents and models evolve.

Installation is agent-first. You can browse the catalog on the web, connect via MCP so your agent can search and inspect Skills, or install from the CLI. Free Skills require only a sign-in, while Premium Skills come with a Pro subscription or a one-time lifetime purchase. Model, API and rendering costs are handled by your own environment, not by Skillry.

**Pricing & Plans:** Free Skills are available with a sign-in. Pro is $9.99/month (regularly $19.90) or $79/year (regularly $158), and a Founding Lifetime plan costs $169 one-time. All paid plans include Premium Skills, MCP/CLI/web install and ongoing updates; model and rendering costs are extra.

- **Original in-house Skills:** Every Skill is designed, written and tested by the Skillry team, with templates and scripts built from a finished piece of work.
- **Multiple output types:** Skills cover web pages, slide decks, images, video and reports, so your agent can produce a range of assets.
- **Broad agent support:** Install and run Skills inside Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI and more.
- **Preview before install:** Each Skill page shows a real result it generated, so you can judge the visual style before adding it.
- **Flexible installation:** Add Skills from the web, through an MCP connection or from your CLI, with browser-based authorization.

**Strengths:** Original Skills designed and maintained in-house; Covers websites, slides, images and video in one library; Works across Claude Code, Codex, Cursor and many other agents; Each Skill previews a real result before you install

**Limitations:** Full access to Premium Skills requires a paid plan; Model, API and rendering costs are separate from the subscription; The catalog is newest to market, so coverage keeps evolving

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

## Frequently Asked Questions

### How do Replicate AI and Skillry compare in monthly traffic?

Replicate AI has 904,038 monthly visits, while Skillry has 535,817. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Replicate AI has a month-over-month growth rate of -8.4%; Skillry has +1,762.1%.

### How does pricing compare?

Replicate AI: Paid. 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. Skillry: Freemium. Free Skills are available with a sign-in. Pro is $9.99/month (regularly $19.90) or $79/year (regularly $158), and a Founding Lifetime plan costs $169 one-time. All paid plans include Premium Skills, MCP/CLI/web install and ongoing updates; model and rendering costs are extra.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [OpenRouter](https://openaitools.app/tool/openrouter-ai) | 19,941,437 | -6.2% | Paid | Excels at routing text and multimodal prompts across various providers, but lacks Replicate's dedicated custom ML deployment. | [.md](https://openaitools.app/tool/openrouter-ai.md) |
| 2 | [fal.ai](https://openaitools.app/tool/fal-ai) | 3,093,684 | -3.7% | Paid, pay-as-you-go usage-based pricing | Faster serverless execution for image and video models, but less generalized custom model deployment than Replicate. | [.md](https://openaitools.app/tool/fal-ai.md) |
| 3 | [Together AI](https://openaitools.app/tool/together-ai) | 1,645,930 | +64.9% | Freemium, Paid | Stronger focus on LLM inference and fine-tuning, but lacks Replicate's diverse community-curated media model catalog. | [.md](https://openaitools.app/tool/together-ai.md) |
| 4 | [MotionSites](https://openaitools.app/tool/motionsites) | 1,088,363 | -8.7% | Freemium, Paid | Supplies landing page design inspiration and prompts, focusing more on visual website layouts than code-ready agent skills. | [.md](https://openaitools.app/tool/motionsites.md) |
| 5 | [Impeccable](https://openaitools.app/tool/impeccable) | 1,038,637 | +8.2% | Free | Installs directly as a design skill pack to enforce UI rules, whereas Skillry acts as a broader discovery library. | [.md](https://openaitools.app/tool/impeccable.md) |
| 6 | [Unsloth AI](https://openaitools.app/tool/unsloth-ai) | 887,457 | -17.6% | Free | Specializes specifically in ultra-efficient model fine-tuning, rather than providing a general-purpose model hosting API. | [.md](https://openaitools.app/tool/unsloth-ai.md) |
| 7 | [Atlas Cloud](https://openaitools.app/tool/atlas-cloud) | 777,031 | -16.4% | Paid | Offers a broad mix of generative media models via API, but lacks Replicate's massive community deployment ecosystem. | [.md](https://openaitools.app/tool/atlas-cloud.md) |
| 8 | [Fireworks](https://openaitools.app/tool/fireworks-ai) | 659,687 | +6% | Contact for Pricing | Delivers exceptionally fast inference speeds for open models, but has a narrower model selection than Replicate. | [.md](https://openaitools.app/tool/fireworks-ai.md) |
| 9 | [SkillsMP — Agent Skills Marketplace](https://openaitools.app/tool/agent-skills-marketplace) | 470,744 | -3.7% | Free | Broader community catalog of open-source agent SKILL.md files, but less focused specifically on design system templates. | [.md](https://openaitools.app/tool/agent-skills-marketplace.md) |
| 10 | [DeepInfra](https://openaitools.app/tool/deep-infra) | 457,810 | -8.9% | Paid | Significantly cheaper pricing for running open-weight models, but offers fewer advanced custom training and deployment features. | [.md](https://openaitools.app/tool/deep-infra.md) |

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Source: https://openaitools.app/compare/replicate-ai-vs-skillry

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