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Luma AI vs TensorX: Token Pricing, Speed & Intelligence

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

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

TensorX

EU inference — Dublin, Helsinki, Paris — GLM-5.3, Kimi K3, zero data retention

TensorX is an EU inference provider with nodes in Dublin, Helsinki, and Paris. It offers GLM-5.3, Kimi K3, and GLM-5.3 Flash with zero data retention and prepaid credits. USD pricing. Suited for EU workloads that need geographic diversity within Europe and a zero-retention policy.

EU inferencePrivacy-sensitive workloadsGeographic diversity
Open-weight hostHosts open weights

Key metric comparison

Cheapest input ($/1M)

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Cheapest output ($/1M)

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Peak throughput

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Best latency (TTFT)

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Intelligence score

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Context window

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Live token pricing

Strengths and weaknesses

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

TensorX

EU nodes in Dublin, Helsinki, and Paris — geographic diversity
Zero data retention policy
Prompt caching on GLM-5.3 (cached $0.44/1M vs $1.75/1M standard)
USD pricing — no currency conversion for international customers
Small model catalog
Prepaid credits only — no post-pay billing
Newer provider — limited third-party benchmark transparency

Key differentiators

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.

TensorX

EU inference with nodes in Dublin, Helsinki, and Paris, zero data retention, and prompt caching on GLM-5.3.

Frequently asked questions

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.

TensorX FAQs

What is TensorX?

TensorX is an EU inference provider with nodes in Dublin, Helsinki, and Paris. It offers GLM-5.3, Kimi K3, and GLM-5.3 Flash with zero data retention and prepaid credits. See tensorx.ai/pricing for current rates.

Does TensorX retain my data?

No. TensorX operates a zero data retention policy.

Provider resources

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.

TensorX — EU inference — Dublin, Helsinki, Paris — GLM-5.3, Kimi K3, zero data retention

TensorX is an EU inference provider with nodes in Dublin, Helsinki, and Paris. It offers GLM-5.3, Kimi K3, and GLM-5.3 Flash with zero data retention and prepaid credits. USD pricing. Suited for EU workloads that need geographic diversity within Europe and a zero-retention policy.

EU inference with nodes in Dublin, Helsinki, and Paris, zero data retention, and prompt caching on GLM-5.3.

Key strengths compared

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

TensorX

  • EU nodes in Dublin, Helsinki, and Paris — geographic diversity
  • Zero data retention policy
  • Prompt caching on GLM-5.3 (cached $0.44/1M vs $1.75/1M standard)
  • Small model catalog
  • Prepaid credits only — no post-pay billing

Key weaknesses compared

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

TensorX

  • Small model catalog
  • Prepaid credits only — no post-pay billing
  • Newer provider — limited third-party benchmark transparency

Provider category context

Luma AI is a frontier lab, founded in 2021. TensorX is a inference api, founded in 2024. Luma AI as a frontier lab trains and serves its own proprietary models. TensorX as an inference API provider hosts open-weight models — typically offering lower prices for equivalent capability tiers but without access to proprietary frontier models.

How to choose between them

Choose Luma AI if you need Video generation. Choose TensorX if you need EU inference. 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.