each::labs

What is each::labs?

each::labs is a platform that puts more than 600 AI models for image, video, audio and text behind one API, so developers can run predictions without wiring up each provider separately. You create a prediction with a model, version and inputs, then poll for the result or receive it by webhook. On top of the API sit a Router that fails over to a healthy model when a provider is slow or down, an Enhancer aimed at reducing failed generations, and Workflows that chain several models into one versioned pipeline. Every request is traced with cost and latency, which helps teams see which calls are expensive. Pricing is pay as you go: you pay each model's published per-call cost with no markup, billed monthly, with no seats, minimum spend or subscription. Larger teams can ask about committed-volume discounts, VPC or on-prem deployment and dedicated SLAs.

Use cases

• Call many AI models through one API
• Fail over automatically when a provider is down
• Chain image, video and voice models into one pipeline
• Version and roll back multi-model workflows
• Track cost and latency for every model call
• A/B test whole AI pipelines
• Ship AI media features in a consumer app

Who it's for

• Developers
• Engineering leaders
• App studios
• AI product teams

Why use each::labs

• One integration replaces separate accounts and SDKs for each model provider.
• Automatic failover means one provider outage does not take your feature offline.
• Pay-per-call pricing with no seats or minimum spend keeps small projects cheap to start.
• Versioned workflows let you test a new pipeline on part of your traffic and roll back quickly.
• Per-call traces make it easier to explain where AI spend goes.

each::labs features

• 600+ models behind a single API
• Router with automatic model fallback
• Enhancer to reduce failed generations
• Workflows that chain models into one typed, versioned graph
• Pin versions, diff them and roll back without a redeploy
• each::sense agent that builds workflows from natural language
• Per-call traces with cost, latency and custom attributes
• Webhooks and polling for prediction results
• File storage for generated assets, billed at the cloud rate
• Execution records and cost listing through the API

How to get started with each::labs

1. Browse the model catalog and open a model to see the inputs it needs.
2. Create an API key and send a prediction request with the model, version and input parameters.
3. Poll for the result, or register a webhook to be notified when the run finishes.
4. Combine models into a workflow or add the Router so calls fail over to a healthy provider.
5. Review traces and execution costs, and pin or roll back workflow versions as needed.

each::labs limitations

• Cost depends on the model and inputs, so the pricing page shows estimates only
• Specific SLA terms are set in the Enterprise contract
• API calls other than the model catalog need an API key

each::labs pricing

each::labs has no free plan.

each::labs plans

• Pay as you go

  Per-call model cost

  Billed monthly, no markup, no minimum spend

  • No seats or per-user pricing
  • No subscription required
  • Storage billed at the underlying cloud rate
  • Workflows free on every plan

• Enterprise

  Custom

  • Committed-volume discounts
  • On-prem or VPC deployment
  • Dedicated SLAs
  • 24/7 engineering support

Plans as listed on the official pricing page on 24 Oct 2026. Prices can change and may vary by country or exclude tax. Check the official pricing page.

each::labs alternatives

The main each::labs alternatives listed on Debuly are Replicate, fal.ai, OpenRouter, Together AI, OmniRoute and Oxen.ai. The table compares pricing and platforms; order is A–Z.

1. 

   fal.ai

   Pay-per-output API for image, video, audio and 3D generation models, plus serverless GPUs and an AI media agent.

   Developer platformsImage generationVideoAudio and voice
   PaidVisit fal.ai (official site)
2. 

   OmniRoute

   Free open-source AI gateway that puts 352 providers behind one OpenAI-compatible endpoint with automatic fallback.

   Developer platformsCodingAutomation and agents
   Open sourceVisit OmniRoute (official site)
3. 

   OpenRouter

   Unified OpenAI-compatible API for 500+ AI models with provider fallbacks, pay-as-you-go credits and a free tier

   Developer platformsChat assistantsAutomation and agents
   FreemiumVisit OpenRouter (official site)
4. OA

   Oxen.ai

   One API for 200+ AI models plus versioned data repositories, fine-tuning and dedicated GPUs for building on your own data.

   Developer platformsImage generationVideoAudio and voice
   PaidVisit Oxen.ai (official site)
5. 

   Replicate

   Cloud API for running, fine-tuning and deploying open-source and proprietary AI models, billed by compute time or by output.

   Developer platformsImage generationVideo
   PaidVisit Replicate (official site)
6. 

   Together AI

   AI cloud for running open-source models through serverless and batch inference, dedicated endpoints, GPU clusters and fine-tuning.

   Developer platformsCoding
   PaidVisit Together AI (official site)

each::labs FAQ

Sources & verification

Facts on this page come from the official sources below, each with the date we read it. Written by Debuly; the vendor did not review this page.

Image credits

• Logo: from eachlabs.ai · fetched 24 Oct 2026 · Vendor trademark, used only to identify the product; removed on request
• Cover: none collected yet, so a generated tile is shown.

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