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Baseten vs Luma AI: Token Pricing, Speed & Intelligence

Full comparison of Baseten and Luma AI — live token pricing, latency, throughput, context window, strengths, weaknesses, and best use cases. Rates sourced from public APIs — verify before use.

Baseten

Production ML infrastructure — deploy any model with custom serving, autoscaling, and GPU selection

Baseten is a production ML infrastructure platform for deploying custom and open-weight models with full control over serving configuration, GPU selection, autoscaling, and cold-start behavior. Unlike managed inference APIs, Baseten lets you bring your own model weights, custom preprocessing, and serving logic. It supports Truss (Baseten's open-source model packaging format), vLLM, TensorRT-LLM, and custom Python serving code. Ideal for teams that need more control than a managed API but less overhead than raw Kubernetes.

Custom model deploymentFine-tuned modelsML infrastructureProduction servingOpen-weight models
Open-weight hostHosts open weights

Luma AI

Dream Machine — high-quality video generation from text and image prompts

Luma AI develops Dream Machine, a video generation model accessible via API. Dream Machine v1.6 generates high-quality video clips from text or image prompts. The 4K variant produces higher-resolution output. Pricing is per second of generated video rather than per token.

Video generationCreative contentMarketing assetsPrototyping video concepts
Proprietary models

Key metric comparison

Cheapest input ($/1M)

—

$0.00

Cheapest output ($/1M)

—

$0.00

Peak throughput

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0 tok/s

Best latency (TTFT)

—

90.0s

Intelligence score

—

0/100

Context window

—

0K

Live token pricing

Basetenlive pricing

No live pricing data available.

Luma AIlive pricing

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ModelInputOutput
dream-machine-v1.6$0.00No current price available$0.00
dream-machine-v1.6-4k$0.00No current price available$0.00

Strengths and weaknesses

Baseten

Full control over model serving: custom preprocessing, postprocessing, and business logic
Bring your own weights — deploy any HuggingFace model or custom fine-tune
GPU selection: H100, A100, A10G, T4 with per-second billing
Autoscaling including scale-to-zero for cost efficiency
Truss open-source packaging format for reproducible model deployments
More setup required than managed APIs — not a drop-in OpenAI replacement
Cold starts on scale-to-zero deployments (configurable warm pool available)
Pricing is higher than shared inference APIs for low-volume workloads

Luma AI

Dream Machine v1.6 produces high-quality, temporally consistent video clips
Supports both text-to-video and image-to-video generation
4K variant available for higher-resolution output
Simple per-second pricing model
Video generation only — no text, image, or audio models
Per-second pricing can be expensive for long clips
Generation latency is higher than text inference
Maximum clip length limited compared to some competitors

Key differentiators

Baseten

The production ML platform that gives you managed-API convenience with custom-serving flexibility — deploy any model with your own preprocessing logic, GPU selection, and autoscaling without managing Kubernetes.

Luma AI

Dream Machine v1.6 delivers high-quality text-to-video and image-to-video generation via a simple per-second API — with a 4K variant for production-quality output.

Frequently asked questions

Baseten FAQs

What is Baseten?

Baseten is a production ML infrastructure platform for deploying AI models with custom serving logic, GPU selection, and autoscaling. It supports any open-weight model or custom fine-tune via the Truss packaging format.

How does Baseten differ from Together AI or Replicate?

Baseten gives you full control over the serving stack — custom preprocessing, postprocessing, GPU selection, and autoscaling behavior. Together AI and Replicate are managed APIs with fixed serving; Baseten is for teams that need custom model serving logic.

What GPUs does Baseten support?

Baseten supports H100 SXM, H100 PCIe, A100 80GB, A10G, and T4 GPUs with per-second billing. You select the GPU type per deployment based on your model's memory and throughput requirements.

Luma AI FAQs

How is Luma AI priced?

Luma AI charges per second of generated video. Dream Machine v1.6 is $0.190/second and the 4K variant is $0.750/second. See lumalabs.ai/dream-machine/api/pricing for current rates.

What is Dream Machine?

Dream Machine is Luma AI's video generation model. v1.6 generates high-quality video clips from text or image prompts, with strong temporal consistency and motion quality.

Does Luma AI support image-to-video?

Yes. Dream Machine supports both text-to-video and image-to-video generation, allowing you to animate a still image or generate video from a text description.

Provider resources

Key strengths compared

Baseten

  • Full control over model serving: custom preprocessing, postprocessing, and business logic
  • Bring your own weights — deploy any HuggingFace model or custom fine-tune
  • GPU selection: H100, A100, A10G, T4 with per-second billing
  • More setup required than managed APIs — not a drop-in OpenAI replacement
  • Cold starts on scale-to-zero deployments (configurable warm pool available)

Luma AI

  • Dream Machine v1.6 produces high-quality, temporally consistent video clips
  • Supports both text-to-video and image-to-video generation
  • 4K variant available for higher-resolution output
  • Video generation only — no text, image, or audio models
  • Per-second pricing can be expensive for long clips

Key weaknesses compared

Baseten

  • More setup required than managed APIs — not a drop-in OpenAI replacement
  • Cold starts on scale-to-zero deployments (configurable warm pool available)
  • Pricing is higher than shared inference APIs for low-volume workloads

Luma AI

  • Video generation only — no text, image, or audio models
  • Per-second pricing can be expensive for long clips
  • Generation latency is higher than text inference
  • Maximum clip length limited compared to some competitors

Provider category context

Baseten is a inference api, founded in 2019. Luma AI is a frontier lab, founded in 2021. Baseten as an inference API provider hosts open-weight models — typically offering lower prices for equivalent capability tiers. Luma AI as a frontier lab trains and serves proprietary models with capabilities not available elsewhere.

How to choose between them

Choose Baseten if you need full control over model serving: custom preprocessing, postprocessing, and business logic. Choose Luma AI if you need Video generation. For high-volume production workloads, run a cost comparison using the token pricing table above with your actual prompt/completion token ratio — the cheapest provider depends heavily on your input-to-output token ratio.