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Replicate API

Replicate API

Researched 1d agoMarketplaceTier 2

Replicate

CodingRAGAgentsLong contextVisionClassificationJSON / Tool useAIHighlight

Replicate API exposes 117 tracked models (104 with output token pricing in seed data). Task coverage across this catalog includes coding, rag, and agents; open any model detail page for benchmarks, batch tiers, and migration prompts.

Portfolio context: 7 decision-task tags, 117 catalog rows, latest research stamp 2026-05-17.

Use this portfolio page for

  • Teams comparing token and batch economics on this surface
  • Operators routing coding, rag, and agents workloads through this API

Do not stop here for

  • Final benchmark picks without opening the relevant model detail page

Catalog rows

117

Models linked to this provider in seed data

Priced output routes

104

Rows with token_out in seed data

Cheapest output

$0.100

Gemma 2 9B Instruct on this route

Batch-ready SKUs

0

No batch pricing tracked

Latest catalog ship

2026-03-15

64d since dated release field

Freshness

2026-05-17

Researched 1d ago

fresh

Catalog release signal

Latest ISO-dated model.release in this catalog is 2026-03-15 (64d ago).

Where this host wins

  • Coding: 35 tracked models with SWE-bench / HumanEval-style scores.
  • RAG: 27 tracked models with ruler / needle retrieval benchmarks.
  • Agentic: 26 tracked models with BFCL, tau-bench, and SWE-bench tool-use coverage.
  • Long-context: 35 tracked models with context-token or InfiniteBench-class signal.

Getting started

Official entry points from seed metadata — confirm quotas and regions in vendor docs.

Compliance notes (verbatim seed excerpts)

Not yet verified from seed copy — no SOC/ISO/HIPAA-class sentences detected to quote verbatim.

Platform Overview

Replicate offers a cloud-based AI platform that simplifies the deployment and integration of machine learning models. The platform provides an extensive library of open-source models that users can run with minimal coding, enabling easy access to advanced AI functionalities such as text generation, image creation, and video production. With automatic API generation, users can effortlessly deploy custom models on a large GPU cluster. The platform also supports the "Cog" tool, which packages models into production-ready containers, streamlining the management and scaling of AI applications. The platform's scalability is a key feature, automatically adjusting resources based on demand to ensure optimal performance during peak usage times. Users benefit from a cost-effective pricing model, paying only for the active time their code runs. Replicate fosters collaboration by allowing users to share their models publicly or keep them private, promoting innovation and knowledge sharing within the developer community. The platform's focus on accessibility and ease of use makes it an ideal solution for developers looking to integrate AI into their projects without the complexities typically associated with machine learning.

Available Models(117)

View all →

All models available as Serverless

ModelInput (per 1M)Output (per 1M)
Kimi K2.5$0.60$3.00
Gemini 3.1 Pro Preview$2$12
Gemini 3 Flash$0.5$3
Gemini 3 Pro$2$12
GPT-5.2$1.75$14
Claude Haiku 4.5$1$5
Claude Sonnet 4.5$3$15
DeepSeek V3.1$0.672$2.016
GPT-5$1.25$10
GPT-5 Mini$0.25$2
View full catalog →

Platform Details

TypeMarketplace
TierTier 2
Models117

Organization

Replicate
Founded2019
San Francisco, California, United States

Replicate is a cloud-based platform that enables users to run machine learning models easily and efficiently. The company specializes in providing a streamlined environment for deploying, scaling, and managing AI models, making advanced machine learning capabilities accessible to developers and researchers. Replicate's platform allows users to run a wide variety of pre-trained models or deploy their own custom models, facilitating rapid experimentation and development in AI projects. The service is designed to handle the complexities of infrastructure management, allowing users to focus on their core AI tasks rather than worrying about the underlying technical details of model deployment and scaling. By offering a user-friendly interface and robust cloud infrastructure, Replicate aims to democratize access to cutting-edge AI technologies, enabling both individuals and organizations to leverage powerful machine learning models without the need for extensive in-house resources or expertise.