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Replicate's changelog

Agent skills for Replicate – Replicate changelog Fallback model for Nano Banana Pro – Replicate changelog MCP server auto-discovery – Replicate changelog Filter predictions by source – Replicate changelog The little things, week ending December 19, 2025 – Replicate changelog The little things, week ending December 5, 2025 – Replicate changelog The little things, week ending November 21, 2025 – Replicate changelog Code mode for Replicate's MCP server – Replicate changelog The little things, week ending November 7, 2025 – Replicate changelog Deployment setup monitoring – Replicate changelog The little things, week ending October 24, 2025 – Replicate changelog Set deadlines for predictions – Replicate changelog The little things, week ending October 10, 2025 – Replicate changelog Download invoices from billing settings – Replicate changelog Sort models by creation date via API – Replicate changelog Update model metadata via API – Replicate changelog The little things, week ending September 26, 2025 – Replicate changelog New search API, now in beta – Replicate changelog The little things, week ending September 12, 2025 – Replicate changelog Torch compile caching – Replicate changelog The little things, week ending August 29, 2025 – Replicate changelog The little things, week ending August 14, 2025 – Replicate changelog The little things, week ending August 1, 2025 – Replicate changelog Purchase prepaid credit – Replicate changelog Introducing a new Cog runtime – Replicate changelog The little things, week ending July 18, 2025 – Replicate changelog The little things, week ending July 4, 2025 – Replicate changelog Set a monthly spend limit deprecated – Replicate changelog See up to 24 hours of data on deployment metric graphs – Replicate changelog The little things, week ending June 20, 2025 – Replicate changelog
Run all models with the same API endpoint – Replicate cha...
2025-08-05 · via Replicate's changelog

You can now use the POST /v1/predictions HTTP API endpoint to run any model on Replicate, whether it’s an official model or a community model. This removes the confusion about which endpoint to use for different types of models.

What changed?

The POST /v1/predictions endpoint now accepts official model identifiers in the owner/name format, in addition to the existing {owner}/{name}:{version_id} and {version_id} formats.

The existing POST /v1/models/{model_owner}/{model_name}/predictions endpoint will still be supported for running official models. If you’re already using that endpoint, you don’t need to change anything.

This change is backward compatible. Existing code will continue to work without any modifications.

Supported version identifiers

When using the POST /v1/predictions endpoint, you can specify models in these formats:

  • {owner}/{name} - For official models (e.g., black-forest-labs/flux-schnell)
  • {owner}/{name}:{version_id} - For community models with full version ID (e.g., replicate/hello-world:9dcd6d78e7c6560c340d916fe32e9f24aabfa331e5cce95fe31f77fb03121426)
  • {version_id} - Just the 64-character version ID (e.g., 9dcd6d78e7c6560c340d916fe32e9f24aabfa331e5cce95fe31f77fb03121426)

Example

Here’s an example of how to run an official model (in this case, black-forest-labs/flux-schnell) using the POST /v1/predictions operation: