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Replicate vs Together AI

A side-by-side comparison of pricing, ratings, features, pros and cons.

Replicate
ReplicateReplicatePaid
Together AI
Together AITogetherPaid
DescriptionCloud API platform for running, fine-tuning, and deploying thousands of open-source machine learning models with pay-per-second pricing."AI native cloud" providing inference, GPU compute, and fine-tuning for open-source models at scale.
Category
DeveloperReplicateTogether
Verified Status
Last UpdatedSep 2026Sep 2026
Pricing ModelPaidPaid
Free PlanNoNo
Open SourceNoNo
API AccessYes
Features
Thousands of ready-to-run open-source models via a single API
Fine-tuning support for models like SDXL on custom data
Cog: open-source tool for packaging and deploying proprietary models
Pay-per-second billing with automatic scale-to-zero
Support for image, speech, music, video, and LLM model types
Serverless, batch, and dedicated inference options
On-demand GPU clusters (including NVIDIA B200)
Fine-tuning for open-source models
Together Kernel Collection for optimized training/inference
Managed storage and sandboxes
API access at api.together.ai
Tags
apimodelscloud
inferencellmapi
Platforms
API
Mobile AppsNo
Review Count00
Saves00
Views150132
Quality Score53/10053/100
Website StatusOnlineOnline
Websitereplicate.comtogether.ai
Social Links2 linked3 linked
ScreenshotsNoNo
Pros
Recommended by our editors
Recommended by our editors
Cons
No free tier available
No free tier available

Who Should Choose Each Tool?

Choose Replicate if:

  • Recommended by our editors

Choose Together AI if:

  • Recommended by our editors

Frequently Asked Questions

Both tools are closely matched on rating — the better fit depends on your specific needs. See the full feature and pricing comparison above.

You can compare up to 4 tools — use "Add Tool" in the table above.

Disclosure: AlverHub may earn a commission if you sign up for a tool through a link on this page, at no additional cost to you. This never affects which tools we list or how we describe them — our recommendations are based on real, documented data and our published scoring methodology.