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AI · head to head

Black Forest Labs vs Amazon Redshift ML

Black Forest Labs logo

Black Forest Labs

AI

Frontier AI lab behind the FLUX family of image, video, and audio generation models

From
$0.17/month
Free plan
No
Full reviewWebsite
Amazon Redshift ML logo

Amazon Redshift ML

Machine Learning

SQL statements in Redshift that train models on SageMaker and return them as functions

From
Free
Free plan
Yes
Full reviewWebsite

The short version

  • Only Amazon Redshift ML has a free tier, so it costs nothing to try first.
  • Each has a real cost: Black Forest Labs open weights licensing tiers (Builder, Platform, Professional) do not list public prices, requiring sales contact for most volumes.; Amazon Redshift ML training is billed by SageMaker separately from Redshift, so a feature that looks like a free SQL statement produces a second line item on a different part of the bill that the analyst who ran it usually cannot see.
  • They diverge on capability: Black Forest Labs covers FLUX 3 image generation, Amazon Redshift ML covers CREATE MODEL in SQL.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Black Forest Labs and Amazon Redshift ML actually diverge.

Attributes where Black Forest Labs and Amazon Redshift ML differ
AttributeBlack Forest LabsAmazon Redshift ML
Starting price$0.17/monthFree
Free tierNoYes
Platformsweb, apiWeb
CategoryAIMachine Learning
FoundedUnknown2006

Identical on both: pricing model (usage-based), user rating (Not yet rated).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Black Forest Labs

  • FLUX 3 image generation
  • Video generation
  • Synchronized audio generation
  • Open weights
  • Action-prediction
  • Fine-tuning and LoRA rights
  • Pricing calculator

Only in Amazon Redshift ML

  • CREATE MODEL in SQL
  • Automatic model selection
  • Local inference
  • Bring your own model
  • Algorithm selection
  • Cost ceiling controls
  • Existing warehouse security
  • Batch and interactive scoring

What people use each for

The jobs each tool is most often brought in to do.

Black Forest Labs

  • Generating high-fidelity images via API for production appsnot Amazon Redshift ML
  • Self-hosting open-weight FLUX models on private infrastructurenot Amazon Redshift ML
  • Producing short branded video clips with synchronized audionot Amazon Redshift ML
  • Robotics research using action-prediction modelsnot Amazon Redshift ML

Amazon Redshift ML

  • Adding a churn or propensity score to an existing dashboard where the data is already in Redshift and nobody needs a bespoke modelnot Black Forest Labs
  • Letting an analytics team test whether a predictive column has any business value before asking for data science headcountnot Black Forest Labs
  • Scoring rows inside a SQL pipeline where moving data out to a separate service would add fragility for little benefitnot Black Forest Labs
  • Organisations committed to AWS whose main constraint is a data science backlog rather than modelling sophisticationnot Black Forest Labs

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Black Forest Labs

  • Open weights licensing tiers (Builder, Platform, Professional) do not list public prices, requiring sales contact for most volumes.
  • Video generation pricing per second can become costly for longer or higher-resolution outputs compared to subscription-based competitors.
  • No consumer subscription plan; pricing is oriented toward developers and enterprises rather than casual creators.

Amazon Redshift ML

  • Training is billed by SageMaker separately from Redshift, so a feature that looks like a free SQL statement produces a second line item on a different part of the bill that the analyst who ran it usually cannot see.
  • Autopilot searches many candidate models by default and the duration and cost of CREATE MODEL scale with the data size and the MAX_CELLS setting, so an unconstrained statement against a large table is an expensive accident rather than an experiment.
  • Local inference runs on the Redshift cluster itself, so scoring millions of rows competes for the resources the warehouse exists to provide, and the remote inference alternative adds a per-batch network call plus an hourly SageMaker endpoint charge that persists whether or not anyone queries it.
  • The supported problem types are limited to what the exposed algorithms cover, so anything involving text, images, sequences, a custom loss function or a bespoke evaluation metric is out of scope and has to be built conventionally.
  • There is no retraining schedule, drift detection or model registry, so a model created by a statement stays exactly as trained until somebody remembers to recreate it, and nothing in the warehouse will report that its accuracy has decayed.

Pricing, plan by plan

Black Forest Labs

$0.17/month
  • API (video)$0.17/month
    • $0.17 per second of generated video
  • Builder$undefined/mo
    • FLUX.2 [klein] models
    • 10K images/month
    • 1 domain, 10 licensed users
  • Platform$undefined/mo
    • FLUX.2 [klein] 9B + FLUX.2 [dev]
    • 100K images/month
    • 1 domain, 10 licensed users
  • Professional$undefined/mo
    • FLUX.2 [dev] open weights license
    • 100K images/month
    • Up to 3 domains, 10 licensed users

Amazon Redshift ML

Free
  • Free TrialFree
    • 2-month trial
    • 750 DC2.Large hours
  • On-Demand$0.25/hour
    • Per-node pricing
    • SageMaker training

Which should you pick?

Choose Black Forest Labs if

  • You need flux 3 image generation.
  • You work on web, api.
  • You also want video generation.
Black Forest Labs review

Choose Amazon Redshift ML if

  • You need create model in sql.
  • You want to start without paying.
  • You also want automatic model selection.
Amazon Redshift ML review

Questions people ask

Is Black Forest Labs or Amazon Redshift ML better?
Neither clearly leads. Black Forest Labs starts at $0.17/month and Amazon Redshift ML at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Black Forest Labs or Amazon Redshift ML?
Amazon Redshift ML has a free tier; the other does not. Paid plans start at $0.17/month for Black Forest Labs and Free for Amazon Redshift ML.
Does Black Forest Labs or Amazon Redshift ML run on more platforms?
Black Forest Labs runs on web, api. Amazon Redshift ML runs on Web.
Can I use Amazon Redshift ML for free?
Yes. Amazon Redshift ML has a free tier, so you can try it without paying. Black Forest Labs starts at $0.17/month.
What is Black Forest Labs best used for?
Black Forest Labs is most often used for generating high-fidelity images via api for production apps, self-hosting open-weight flux models on private infrastructure, producing short branded video clips with synchronized audio, robotics research using action-prediction models. Of those, generating high-fidelity images via api for production apps and self-hosting open-weight flux models on private infrastructure are not what Amazon Redshift ML is typically brought in for.
What can Black Forest Labs do that Amazon Redshift ML cannot?
Black Forest Labs covers FLUX 3 image generation, Video generation, Synchronized audio generation, Open weights. Amazon Redshift ML covers CREATE MODEL in SQL, Automatic model selection, Local inference, Bring your own model.

Answered from the vendors’ own pages

Black Forest Labs: How much does Black Forest Labs' API cost?

The API is pay-as-you-go with no subscription required; video generation costs $0.17 per second, so a 5-second HD clip costs about $0.85.

Source
Amazon Redshift ML: Does it require SageMaker?

Yes. Redshift ML is an interface; the training happens in SageMaker and needs an IAM role and an S3 bucket for the intermediate data.

Black Forest Labs: Is there a free plan?

No free tier is offered; the pricing page lists only pay-as-you-go API usage and paid open-weights licensing tiers starting with Builder.

Source
Amazon Redshift ML: Is there an extra charge?

The SQL interface is part of Redshift, but the training runs as a SageMaker job charged at SageMaker rates, and a remote inference endpoint is billed for as long as it exists.

Black Forest Labs: What do the open-weights licensing tiers include?

Builder includes FLUX.2 [klein] models with 10K images/month for one domain; Platform and Professional raise the cap to 100K images/month and add FLUX.2 [dev] access and fine-tuning rights.

Source
Amazon Redshift ML: What kinds of model can it build?

Regression, binary and multiclass classification through the automatic path, plus direct use of XGBoost, linear learner, multilayer perceptron and K-means. Anything beyond structured tabular prediction is out of scope.

Black Forest Labs: Can I self-host FLUX models?

Yes, open weights licenses let teams download and self-host FLUX.2 [klein] and FLUX.2 [dev] models on their own infrastructure under the Builder, Platform, and Professional tiers.

Source
Amazon Redshift ML: Can I use a model I trained myself?

Yes, through the bring-your-own-model path, either compiled into the cluster for local inference or called as a remote SageMaker endpoint.

Black Forest Labs: How do I get enterprise or high-volume pricing?

Enterprise plans covering custom volume, all model releases, and SLA guarantees are not published and require contacting Black Forest Labs' sales team directly.

Source
Amazon Redshift ML: Does it retrain automatically?

No. Retraining means running CREATE MODEL again, on a schedule you build yourself, and nothing in the product monitors whether it is needed.

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