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Fireworks AI vs Luma AI: Token Pricing, Speed & Intelligence

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

Fireworks AI

H100/H200/B200/B300/GB300 on-demand — Serverless Training API, Forge 2026 conference

Fireworks AI provides optimised inference for open-weight models with a focus on production reliability and low latency. On-demand GPU compute (H100, H200, B200, B300, GB300) is available alongside serverless inference. The Serverless Training API enables fine-tuning for GLM 5.3, Qwen 3.8 27B, Kimi K3, DeepSeek V4 Flash, and Muse Glimmer 30B without managing GPU infrastructure. Fireworks hosted its inaugural Forge 2026 conference.

ProductionReasoningSpeedOpen-sourceFine-tuning
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)

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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

Fireworks AI

320+ tokens/sec on Llama 3.3 70B — fast GPU inference
H100/H200/B200/B300/GB300 on-demand GPU access
Serverless Training API for fine-tuning without infrastructure
Production-grade reliability with SLAs
OpenAI-compatible API
Slightly higher pricing than budget alternatives
Smaller model catalog than Together AI
Serverless Training is newer and less battle-tested

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

Fireworks AI

Production-grade reliability with the latest GPU hardware (B300/GB300) and a Serverless Training API — the most complete platform for open-weight model inference and fine-tuning.

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

Fireworks AI FAQs

What GPU hardware does Fireworks AI offer?

Fireworks AI offers on-demand H100, H200, B200, B300, and GB300 GPU instances for dedicated deployments, alongside their serverless inference API for pay-per-token access.

What is the Fireworks Serverless Training API?

Fireworks AI's Serverless Training API lets you fine-tune open-weight models without managing GPU infrastructure. Upload your training data, run fine-tuning jobs, and deploy the resulting model via their inference API.

What models does Fireworks AI offer?

Fireworks AI hosts Llama 3.3 70B, DeepSeek R1, Mixtral, and other popular open-weight models. They focus on production-ready models with optimised inference rather than the broadest possible catalog.

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

Fireworks AI — H100/H200/B200/B300/GB300 on-demand — Serverless Training API, Forge 2026 conference

Fireworks AI provides optimised inference for open-weight models with a focus on production reliability and low latency. On-demand GPU compute (H100, H200, B200, B300, GB300) is available alongside serverless inference. The Serverless Training API enables fine-tuning for GLM 5.3, Qwen 3.8 27B, Kimi K3, DeepSeek V4 Flash, and Muse Glimmer 30B without managing GPU infrastructure. Fireworks hosted its inaugural Forge 2026 conference.

Production-grade reliability with the latest GPU hardware (B300/GB300) and a Serverless Training API — the most complete platform for open-weight model inference and fine-tuning.

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

Fireworks AI

  • 320+ tokens/sec on Llama 3.3 70B — fast GPU inference
  • H100/H200/B200/B300/GB300 on-demand GPU access
  • Serverless Training API for fine-tuning without infrastructure
  • Slightly higher pricing than budget alternatives
  • Smaller model catalog than Together AI

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

Fireworks AI

  • Slightly higher pricing than budget alternatives
  • Smaller model catalog than Together AI
  • Serverless Training is newer and less battle-tested

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

Fireworks AI is a inference api, founded in 2022. Luma AI is a frontier lab, founded in 2021. Fireworks AI 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 Fireworks AI if you need 320+ tokens/sec on llama 3.3 70b — fast gpu inference. 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.