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
Inference infrastructure for production ML — GLM, DeepSeek V4, Kimi K3, Nemotron, Muse
Baseten is a production ML inference platform offering dedicated and serverless GPU deployments for open-weight models. The catalog includes GLM-5.3, GLM-5.2, DeepSeek V4.1 Flash, DeepSeek V4 Pro 0813, Kimi K3, Nemotron 3.5 Super VL, NVIDIA Nemotron 3 Ultra, GPT OSS 120B, and Muse Spark Open. Baseten is designed for teams that need reliable, low-latency inference with custom deployment options. Pricing is published at baseten.co/pricing.
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.
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Live token pricing
Strengths and weaknesses
Baseten
Luma AI
Key differentiators
Production ML inference infrastructure with dedicated GPU deployments — GLM-5.3, DeepSeek V4.1, Kimi K3, and Nemotron with Fast variants for throughput-optimised workloads.
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 inference platform offering dedicated and serverless GPU deployments for open-weight models including GLM-5.3, DeepSeek V4.1 Flash, Kimi K3, Nemotron, and Muse Spark Open. See baseten.co/pricing for current rates.
What models does Baseten offer?
Baseten's catalog includes GLM-5.3, GLM-5.3 Fast, GLM-5.3-Flash, GLM-5.2, GLM-5.2 Fast, DeepSeek V4.1 Flash, DeepSeek V4.1 Flash Fast, DeepSeek V4 Pro 0813, Kimi K3, Nemotron 3.5 Super VL, NVIDIA Nemotron 3 Ultra, GPT OSS 120B, and Muse Spark Open. See baseten.co/pricing for current rates.
How much does Baseten cost?
As of October 2026: GLM-5.3 $1.40/$4.40, GLM-5.3 Fast $2.10/$6.60, GLM-5.3-Flash $0.15/$0.50, DeepSeek V4.1 Flash $0.30/$1.20, DeepSeek V4 Pro 0813 $1.32/$3.96, Kimi K3 $3.00/$15.00, Nemotron 3.5 Super VL $0.20/$0.50, GPT OSS 120B $0.10/$0.50. See baseten.co/pricing for current rates.
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
Baseten — Inference infrastructure for production ML — GLM, DeepSeek V4, Kimi K3, Nemotron, Muse
Baseten is a production ML inference platform offering dedicated and serverless GPU deployments for open-weight models. The catalog includes GLM-5.3, GLM-5.2, DeepSeek V4.1 Flash, DeepSeek V4 Pro 0813, Kimi K3, Nemotron 3.5 Super VL, NVIDIA Nemotron 3 Ultra, GPT OSS 120B, and Muse Spark Open. Baseten is designed for teams that need reliable, low-latency inference with custom deployment options. Pricing is published at baseten.co/pricing.
Production ML inference infrastructure with dedicated GPU deployments — GLM-5.3, DeepSeek V4.1, Kimi K3, and Nemotron with Fast variants for throughput-optimised workloads.
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.
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.
Key strengths compared
Baseten
- Dedicated GPU deployments for production reliability and consistent latency
- GLM-5.3, GLM-5.2, DeepSeek V4.1 Flash/Pro, Kimi K3, Nemotron, Muse Spark Open
- Fast and Fast variants for throughput-optimised inference
- Smaller catalog than Together AI or Fireworks
- Less documentation for new users than major providers
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
- Smaller catalog than Together AI or Fireworks
- Less documentation for new users than major providers
- Dedicated deployments require more setup than pure serverless
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 dedicated gpu deployments for production reliability and consistent latency. 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.