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Replicate — AI for Software Development

Cloud API to run, fine-tune and deploy AI models with pay-as-you-go billing.

What is Replicate?

Replicate: Cloud API to run, fine-tune and deploy AI models with pay-as-you-go billing. Paid, from $0.09/hr for cpu-small, pay as you go. Zekai's independent review scores it 8.3 out of 10. Best for developers adding AI models to apps.

Facts checked 12 Nov 2026.

DifferentiatorRun public models by API and pay per second or per output
Proofflux-1.1-pro at $0.04 per output image
Explore Replicate
Pro from$0.09/hr for cpu-small, pay as you go
8.3 Zekai
Pay-as-you-go model API
AI for Software Development
Ease of Use
9.0
Accuracy
8.0
Value
8.0
Time Saving
8.0
Model APIFine-tuningCustom deployPay-as-you-goWebhooks
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Zekai Verdict

What is it?
Replicate lets you run AI models through a cloud API without managing infrastructure.
Best for
Developers who want to call image, video and language models without managing GPUs
Not ideal for
No fixed monthly plan; costs scale with usage
Price
$0.09/hr for cpu-small, pay as you go
Zekai Score
8.3/10
Hand-scored by Zekai

Top AI for Software Development picks

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⚡ Quick answer

Replicate is a cloud API for running, fine-tuning and deploying AI models. You pay as you go, mostly by the second of hardware time or per output.

CategoryModel hosting API
Best forDevelopers adding AI models to apps
Price from$0.09/hr for cpu-small, pay as you go
Free planno
DifferentiatorRun public models by API and pay per second or per output
Proofflux-1.1-pro at $0.04 per output image
Rating4
📖 About Replicate

Replicate lets you run AI models through a cloud API without managing infrastructure. You can run public models, fine-tune with your own data, or deploy custom models packaged with Cog.

How It Works

Your workflow, automated

1
Pick a model
Browse public or official models and read the estimated cost on the model page.
2
Call the API
Run the model from Node, Python or HTTP with your input.
3
Fine-tune or deploy
Train on your data or push a custom model and set up deployments and webhooks.
Ready to automate your workflow with Replicate?
Explore Replicate →
Real Impact

Before & After

❌ Before

Running AI models yourself means provisioning GPUs, packaging models and handling scaling.

Self-run GPUs
✅ After

You call a hosted model through an API and pay for the compute you use.

API call
AI Prompts

Prompts for Developers

Prompt 01 The SQL Query Generator with Schema Context
CREATE TABLE users ( id SERIAL PRIMARY KEY, name VARCHAR(100), email VARCHAR(100) UNIQUE, created_at TIMESTAMP WITH TIME ZONE DEFAULT NOW() ); CREATE TABLE orders ( id SERIAL PRIMARY KEY, user_id INTEGER REFERENCES users(id), amount…
Prompt 02 The MCP-Aware Database Migration Agent
(for interacting with the Prisma schema and CLI) *
Prompt 03 The Agentic E2E Test Runner
(for creating GitHub issues) Scenario: The "new user registration" feature has been deployed to the staging environment at
See all 16 AI prompts for Developers →
Social Proof

Trusted by professionals

Ease of Use
9.0
Accuracy
8.0
Value
8.0
Time Saving
8.0
Connects With

Replicate integrations

Node.js Python HTTP API
Setup complexity: Easy for developers
Replicate lets you run AI models through a cloud API without managing infrastructure. You can run public models, fine-tune with your own data, or deploy custom models packaged with Cog.
The decision

Is Replicate worth it?

Built for
Developers and product teams adding generative models to apps through an API.
Effort to adopt
Easy for developers
Who It's For

Why Software Development choose this tool

🎯
Built for
Developers who want to call image, video and language models without managing GPUs
In-Depth Overview
Replicate is a model-hosting API for developers who want to add image, video, speech, music or language models to an app without running GPUs. The homepage shows a few lines of Node, Python or HTTP code that call a model by name, and lists model categories such as image generation, speech, music, video and LLMs, including official models from several labs. Billing is pay-as-you-go. Most public models are billed by processing time on the hardware used, and some by input and output, for example $0.04 per output image for flux-1.1-pro or $3.75 per million input tokens for deepseek-r1. Setup and idle time on public models is free, but you may hit cold boots or scaling limits because you share a hardware pool. Private models run on dedicated hardware and you pay for setup, idle and active time, from $0.09/hr for a small CPU to $5.49/hr for an H100. Fast booting fine-tunes are billed only while active. You can push your own model with Cog, set up deployments and webhooks, and connect through an MCP server. The docs say select models run free, then you must set up billing, without stating a limit. Enterprise adds an account manager, higher GPU limits and volume discounts. If you need predictable monthly costs, per-second billing needs watching.

Key Use Cases

🧑‍💻
Add image generation
App developer
Call an image model from your backend with a few lines of code and pay per output image.
Per-image pricing
🎬
Prototype video features
Product team
Try hosted video models by the second before committing to a provider.
Per-second billing
🛠️
Ship a custom model
ML engineer
Package a model with Cog and deploy it to dedicated hardware that scales with traffic.
Autoscaling
✓ Pros
Few lines of code to call a model from Node, Python or HTTP
Setup and idle time on public models is free
Prices listed per image, token, second and hardware type
Private models run on dedicated hardware
Enterprise option with higher GPU limits and volume discounts
· Cons
No fixed monthly plan; costs scale with usage
Private models bill for setup and idle time
Public models share a hardware pool and can cold boot
Free usage limits are not stated
⚡ Editorial Verdict

A quick way to put hosted models behind an API, with clear per-output and per-second prices. The limitation is cost predictability: private models bill for idle time, public models can cold boot, and the free limits are not stated.

Questions & Answers

Frequently asked questions

How does Replicate pricing work?

+
Most public models are billed by the time they run, with a price per second set by the hardware. Some are billed per output or per token, such as $0.04 per output image for flux-1.1-pro.

Is Replicate free?

+
Select models can be run free, after which you are asked to set up billing. The docs do not state the limit.

Do I pay for idle time?

+
Not on public models, where setup and idle time are free. Private models on dedicated hardware bill for setup, idle and active time, except fast booting fine-tunes.

Can I deploy my own model?

+
Yes. You can package a custom model with the open-source Cog tool and deploy it on Replicate.

Last reviewed:

Plans & Pricing

Replicate pricing and plans

Prices and features are updated regularly but can change at any time — always confirm on the official website. Some links on this page are affiliate links.

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About Replicate

Full Description

Replicate lets you run AI models through a cloud API without managing infrastructure. You can run public models, fine-tune with your own data, or deploy custom models packaged with Cog.

Editorial Verdict

A quick way to put hosted models behind an API, with clear per-output and per-second prices. The limitation is cost predictability: private models bill for idle time, public models can cold boot, and the free limits are not stated.

Last reviewed:
Disclaimer
Zekai is an independent AI tools directory. We are not affiliated with, endorsed by, or officially connected to Replicate unless clearly stated. All product names, logos, and brands are the property of their respective owners and are used for identification purposes only. The information on this page — including pricing, features, and availability — is general information, may have changed since our last review, and is not professional advice. Zekai Scores and verdicts are our editorial opinion. Some outbound links are affiliate links that may earn us a commission at no extra cost to you. Spotted outdated or incorrect information? Request a correction →
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