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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 Run all models with the same API endpoint – 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
Official models – Replicate changelog
2025-01-29 · via Replicate's changelog

Official models are always on and have predictable pricing. We maintain them in collaboration with the authors of the model to make sure they’re high quality.

A number of models have worked this way for a while, but we’re now giving it a name to make clear which ones work like this.

API

The way you call these models is a little different. If you’re using a client library, you don’t need to specify a version. For black-forest-labs/flux-1.1-pro in Node.js, for example:

const output = await replicate.run(
	"black-forest-labs/flux-1.1-pro",
	{ prompt: "A t-rex on a skateboard looking cool" }
);

If you’re using the HTTP API, you use the POST /models/<owner>/<name>/predictions endpoint and you don’t need to specify a version. For example:

curl https://api.replicate.com/v1/models/black-forest-labs/flux-1.1-pro/predictions \
	--request POST \
	--header "Authorization: Bearer $REPLICATE_API_TOKEN" \
	--header "Content-Type: application/json" \
	--header "Prefer: wait" \
	--data @- <<'EOM'
{
	"input": {
      "prompt": "A t-rex on a skateboard looking cool"
	}
}
EOM

Nothing has changed about how you run other models. The best way to find out how to run a model is the API documentation on a model.

Pricing

Instead of being charged by the amount of time a model runs, you’re charged by output. For example, black-forest-labs/flux-1.1-pro is charged for each image it generates, but for other models this might be things like the number of tokens or the length of a video.

You can find out about each model’s pricing on the pricing section of the model.

Models

Here are some of the models that are now official:

Take a look at the official models collection for the full list.