AssemblyAI vs Luma AI: Token Pricing, Speed & Intelligence
Full comparison of AssemblyAI and Luma AI — live token pricing, latency, throughput, context window, strengths, weaknesses, and best use cases. Rates sourced from public APIs — verify before use.
AssemblyAI
Universal-2 speech-to-text with speaker diarisation and audio intelligence
AssemblyAI provides a speech-to-text and audio intelligence API. Its Universal-2 model offers high-accuracy transcription with built-in speaker diarisation, sentiment analysis, topic detection, and PII redaction. The Nano model targets cost-sensitive batch workloads. Pricing is per audio hour.
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.
Key metric comparison
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Live token pricing
Strengths and weaknesses
AssemblyAI
Luma AI
Key differentiators
Universal-2 bundles transcription with speaker diarisation, sentiment, topic detection, and PII redaction — plus LeMUR for LLM-powered audio Q&A — in a single API call.
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
AssemblyAI FAQs
How is AssemblyAI priced?
AssemblyAI charges per audio hour. Universal-2 is $0.37/hour and Nano is $0.10/hour. Additional audio intelligence features (diarisation, sentiment, PII redaction) are priced separately. See assemblyai.com/pricing for current rates.
What is Universal-2?
Universal-2 is AssemblyAI's flagship transcription model with built-in speaker diarisation, sentiment analysis, topic detection, and PII redaction. It is designed for meeting intelligence and call analytics use cases.
What is LeMUR?
LeMUR (Leveraging Large Language Models to Understand Recorded Audio) is an AssemblyAI feature that lets you run LLM-powered Q&A, summarisation, and action-item extraction directly over transcribed audio without building a separate pipeline.
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
AssemblyAI — Universal-2 speech-to-text with speaker diarisation and audio intelligence
AssemblyAI provides a speech-to-text and audio intelligence API. Its Universal-2 model offers high-accuracy transcription with built-in speaker diarisation, sentiment analysis, topic detection, and PII redaction. The Nano model targets cost-sensitive batch workloads. Pricing is per audio hour.
Universal-2 bundles transcription with speaker diarisation, sentiment, topic detection, and PII redaction — plus LeMUR for LLM-powered audio Q&A — in a single API call.
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
AssemblyAI
- Universal-2 includes speaker diarisation, sentiment, topics, and PII redaction out of the box
- Audio intelligence features reduce need for post-processing pipelines
- Nano tier at $0.10/hour for cost-sensitive batch transcription
- Speech and audio only — no general-purpose LLM or image models
- Per-hour pricing model differs from token-based LLM APIs
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
AssemblyAI
- Speech and audio only — no general-purpose LLM or image models
- Per-hour pricing model differs from token-based LLM APIs
- Advanced audio intelligence features add cost on top of base transcription
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
AssemblyAI is a frontier lab, founded in 2017. Luma AI is a frontier lab, founded in 2021. Both are frontier lab providers — the comparison is primarily about pricing, model selection, and feature differentiation within the same tier.
How to choose between them
Both AssemblyAI and Luma AI are frontier labs with proprietary models. Choose based on benchmark performance for your specific task: AssemblyAI leads on universal-2 includes speaker diarisation, sentiment, topics, and pii redaction out of the box, while Luma AI leads on dream machine v1.6 produces high-quality, temporally consistent video clips. For cost-sensitive workloads, compare the cheapest model tier from each provider in the pricing table above — the gap between efficient-tier models is often larger than between flagship models.