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Replicate Get Model
ai-modelsopen-sourceimage-generationinferenceaimedia
Replicate Get Model is a paid API for AI agents from Replicate at replicate.mpp.paywithlocus.com, paid per call via MPP, $0.004/call, status healthy (last checked 2026-10-12, last successful call 2026-09-14).
Retrieves metadata and details about a specific AI model hosted on Replicate, including description, run count, versioning, and licensing information.
Price / call$0.004
Success100%
StatusHealthy
How this service works
Retrieve metadata for a public Replicate model: description, hardware, latest version, run count, and links.
Output
Returns a JSON object with the model's full metadata including its name, owner, description, visibility (public/private), run count, creation date, latest version ID and cog version, GitHub URL, paper URL, weights URL, license URL, and whether it is an official model.
Example use cases
Compare AI model capabilities before deployment
“I'm deciding between a few image generation models on Replicate. Can you pull up the metadata for both the flux-schnell and stable-diffusion-v3 models so I can see their descriptions, run counts, and which one is more heavily used?”
Verify model licensing for commercial use
“We're building a product that uses the openai/whisper model from Replicate. Before we ship, can you check what license that model is under and confirm whether it's official?”
Track model version updates for automation
“Our app currently uses a specific version of the llama-2-70b model. Can you look up what the latest version ID is and let me know if there's a newer one available that we should migrate to?”
Technical details
Endpoint
POSThttps://replicate.mpp.paywithlocus.com/replicate/get-model?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need structured metadata about a specific Replicate-hosted model before running it, comparing models, displaying model info to users, or checking the latest version ID prior to making a prediction. Prefer this over List Models when you already know the exact owner and name of the model you care about.
Side effects
- Model not found — returns 404 if model_owner or model_name is incorrect or the model does not exist
- Missing required fields — returns 400 if model_owner or model_name is omitted
- Private model access denied — returns 403 if the model is private and the caller lacks permissions
- Network timeout — if Replicate's API is slow or unavailable
Input
{
"model_name": "flux-schnell",
"model_owner": "black-forest-labs"
}Schema · Request body
| Field | Type | Description |
|---|---|---|
| model_namerequired | string | Model name (e.g. 'flux-schnell') |
| model_ownerrequired | string | Model owner / namespace (e.g. 'black-forest-labs') |
Output
{
"data": {
"url": "https://replicate.com/black-forest-labs/flux-schnell",
"name": "flux-schnell",
"owner": "black-forest-labs",
"paper_url": null,
"run_count": 669216596,
"created_at": "2024-07-30T00:32:11.473557Z",
"github_url": "https://github.com/replicate/cog-flux",
"visibility": "public",
"description": "The fastest image generation model tailored for local development and personal use",
"is_official": true,
"license_url": "https://github.com/black-forest-labs/flux/blob/main/model_licenses/LICENSE-FLUX1-schnell",
"weights_url": "https://huggingface.co/black-forest-labs/FLUX.1-schnell",
"latest_version": {
"id": "c846a69991daf4c0e5d016514849d14ee5b2e6846ce6b9d6f21369e564cfe51e",
"created_at": "2025-06-25T20:02:06.203810Z",
"cog_version": "0.15.8",
"openapi_schema": {
"info": {
"title": "Cog",
"version": "0.1.0"
},
"paths": {},
"openapi": "3.0.2",
"components": {
"schemas": {
"Input": {
"type": "object",
"title": "Input",
"required": [
"prompt"
],
"properties": {
"seed": {
"type": "integer",
"title": "Seed",
"x-order": 4,
"description": "Random seed. Set for reproducible generation"
},
"prompt": {
"type": "string",
"title": "Prompt",
"x-order": 0,
"description": "Prompt for generated image"
},
"go_fast": {
"type": "boolean",
"title": "Go Fast",
"default": true,
"x-order": 8,
"description": "Run faster predictions with model optimized for speed (currently fp8 quantized); disable to run in original bf16. Note that outputs will not be deterministic when this is enabled, even if you set a seed."
},
"megapixels": {
"allOf": [
{
"$ref": "#/components/schemas/megapixels"
}
],
"default": "1",
"x-order": 9,
"description": "Approximate number of megapixels for generated image"
},
"num_outputs": {
"type": "integer",
"title": "Num Outputs",
"default": 1,
"maximum": 4,
"minimum": 1,
"x-order": 2,
"description": "Number of outputs to generate"
},
"aspect_ratio": {
"allOf": [
{
"$ref": "#/components/schemas/aspect_ratio"
}
],
"default": "1:1",
"x-order": 1,
"description": "Aspect ratio for the generated image"
},
"output_format": {
"allOf": [
{
"$ref": "#/components/schemas/output_format"
}
],
"default": "webp",
"x-order": 5,
"description": "Format of the output images"
},
"output_quality": {
"type": "integer",
"title": "Output Quality",
"default": 80,
"maximum": 100,
"minimum": 0,
"x-order": 6,
"description": "Quality when saving the output images, from 0 to 100. 100 is best quality, 0 is lowest quality. Not relevant for .png outputs"
},
"num_inference_steps": {
"type": "integer",
"title": "Num Inference Steps",
"default": 4,
"maximum": 4,
"minimum": 1,
"x-order": 3,
"description": "Number of denoising steps. 4 is recommended, and lower number of steps produce lower quality outputs, faster."
},
"disable_safety_checker": {
"type": "boolean",
"title": "Disable Safety Checker",
"default": false,
"x-order": 7,
"description": "Disable safety checker for generated images."
}
}
},
"Output": {
"type": "array",
"items": {
"type": "string",
"format": "uri"
},
"title": "Output"
},
"Status": {
"enum": [
"starting",
"processing",
"succeeded",
"canceled",
"failed"
],
"type": "string",
"title": "Status",
"description": "An enumeration."
},
"megapixels": {
"enum": [
"1",
"0.25"
],
"type": "string",
"title": "megapixels",
"description": "An enumeration."
},
"WebhookEvent": {
"enum": [
"start",
"output",
"logs",
"completed"
],
"type": "string",
"title": "WebhookEvent",
"description": "An enumeration."
},
"aspect_ratio": {
"enum": [
"1:1",
"16:9",
"21:9",
"3:2",
"2:3",
"4:5",
"5:4",
"3:4",
"4:3",
"9:16",
"9:21"
],
"type": "string",
"title": "aspect_ratio",
"description": "An enumeration."
},
"output_format": {
"enum": [
"webp",
"jpg",
"png"
],
"type": "string",
"title": "output_format",
"description": "An enumeration."
},
"ValidationError": {
"type": "object",
"title": "ValidationError",
"required": [
"loc",
"msg",
"type"
],
"properties": {
"loc": {
"type": "array",
"items": {
"anyOf": [
{
"type": "string"
},
{
"type": "integer"
}
]
},
"title": "Location"
},
"msg": {
"type": "string",
"title": "Message"
},
"type": {
"type": "string",
"title": "Error Type"
}
}
},
"PredictionRequest": {
"type": "object",
"title": "PredictionRequest",
"properties": {
"id": {
"type": "string",
"title": "Id",
"nullable": true
},
"input": {
"$ref": "#/components/schemas/Input",
"nullable": true
},
"context": {
"type": "object",
"title": "Context",
"nullable": true,
"additionalProperties": {
"type": "string"
}
},
"webhook": {
"type": "string",
"title": "Webhook",
"format": "uri",
"nullable": true,
"maxLength": 65536,
"minLength": 1
},
"created_at": {
"type": "string",
"title": "Created At",
"format": "date-time",
"nullable": true
},
"output_file_prefix": {
"type": "string",
"title": "Output File Prefix",
"nullable": true
},
"webhook_events_filter": {
"type": "array",
"items": {
"$ref": "#/components/schemas/WebhookEvent"
},
"default": [
"start",
"output",
"logs",
"completed"
],
"nullable": true
}
}
},
"PredictionResponse": {
"type": "object",
"title": "PredictionResponse",
"properties": {
"id": {
"type": "string",
"title": "Id",
"nullable": true
},
"logs": {
"type": "string",
"title": "Logs",
"default": ""
},
"error": {
"type": "string",
"title": "Error",
"nullable": true
},
"input": {
"$ref": "#/components/schemas/Input",
"nullable": true
},
"output": {
"$ref": "#/components/schemas/Output"
},
"status": {
"$ref": "#/components/schemas/Status",
"nullable": true
},
"metrics": {
"type": "object",
"title": "Metrics",
"nullable": true,
"additionalProperties": true
},
"version": {
"type": "string",
"title": "Version",
"nullable": true
},
"created_at": {
"type": "string",
"title": "Created At",
"format": "date-time",
"nullable": true
},
"started_at": {
"type": "string",
"title": "Started At",
"format": "date-time",
"nullable": true
},
"completed_at": {
"type": "string",
"title": "Completed At",
"format": "date-time",
"nullable": true
}
}
},
"HTTPValidationError": {
"type": "object",
"title": "HTTPValidationError",
"properties": {
"detail": {
"type": "array",
"items": {
"$ref": "#/components/schemas/ValidationError"
},
"title": "Detail"
}
}
}
}
}
}
},
"cover_image_url": "https://tjzk.replicate.delivery/models_models_featured_image/67c990ba-bb67-4355-822f-2bd8c42b2f0d/flux-schnell.webp",
"default_example": {
"id": "jd96x0dyqsrm00cj1jp90zeye0",
"logs": "running quantized prediction\ngenerating\nUsing seed: 68235\n 0%| | 0/4 [00:00<?, ?it/s]\n 50%|█████ | 2/4 [00:00<00:00, 18.61it/s]\n100%|██████████| 4/4 [00:00<00:00, 13.49it/s]\n100%|██████████| 4/4 [00:00<00:00, 14.07it/s]\nTotal safe images: 1 out of 1",
"urls": {
"get": "https://api.replicate.com/v1/predictions/jd96x0dyqsrm00cj1jp90zeye0",
"cancel": "https://api.replicate.com/v1/predictions/jd96x0dyqsrm00cj1jp90zeye0/cancel"
},
"error": null,
"input": {
"prompt": "black forest gateau cake spelling out the words \"FLUX SCHNELL\", tasty, food photography, dynamic shot",
"go_fast": true,
"num_outputs": 1,
"aspect_ratio": "1:1",
"output_format": "webp",
"output_quality": 80
},
"model": "black-forest-labs/flux-schnell",
"output": [
"https://replicate.delivery/yhqm/hcDDSNf633zeDUz9sWkKfaftcfJLWIvuhn9vfCFWmufxelmemA/out-0.webp"
],
"source": "web",
"status": "succeeded",
"metrics": {
"total_time": 0.840202,
"image_count": 1,
"predict_time": 0.829263399
},
"version": "hidden",
"created_at": "2024-09-19T23:45:00.606000Z",
"started_at": "2024-09-19T23:45:00.616939Z",
"completed_at": "2024-09-19T23:45:01.446202Z",
"data_removed": false,
"is_free_trial_prediction": false
}
},
"success": true
}Tags
ai-modelsopen-sourceimage-generationinferenceaimedia
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