Image, video, and audio AI pricing
Last updated 2026-07-18

Media AI pricing is confusing because the billing units change by modality. Text models usually price tokens. Image models may price each generated image or edit. Video models may price seconds. Audio transcription may price minutes, while speech generation may price characters. A direct unit-price comparison is not enough; you need to convert everything to monthly production volume.
Images: count drafts, not just final assets
Creative teams often generate many options for every final image. If a campaign needs 100 final images but the team creates eight candidates for each one, the monthly volume is 800 generations before edits. Upscaling, background replacement, or inpainting may add more billable operations depending on the provider.
Video: seconds add up quickly
Video pricing usually depends on duration and quality settings. A few 10-second clips may be inexpensive, but production workflows create variants, failed attempts, and edits. Count generated seconds across drafts. Also account for whether the tool charges differently for resolution, aspect ratio, audio, or faster generation.
Audio: transcription and generation are different businesses
Transcription is commonly priced by audio duration. Speech generation may be priced by characters or tokens. Voice quality, real-time needs, diarization, timestamps, and language support can affect the tool choice even when the unit price looks similar.
Mix media with text carefully
Many practical workflows combine media and text: a call becomes a transcript, the transcript becomes a summary, and the summary becomes CRM notes. That creates both audio minutes and text tokens. The most accurate estimate counts each stage separately.
Use the media fields in the comparison tool so image, video, audio, and text workloads can be compared on the same monthly-cost basis.
References and fact checks
- OpenAI API pricing - includes pricing categories for text, image, audio, and related API capabilities
- Google Gemini API pricing - documents pricing notes for text, image, video, audio, context caching, and batch use
- AWS Bedrock cost reporting guide - useful for thinking about production reconciliation across multiple usage dimensions
How to do this in AICC
Turn the article into an answer you can use
Use AICC to normalize media and audio tools into monthly production volume, so different billing units can be compared without hand-waving.
- 1
Define the production unit
Decide whether you are comparing images, edited images, video seconds, audio characters, transcription minutes, or a mixed workflow.
- 2
Include drafts and retries
Before opening Compare, multiply final assets by expected drafts per final. Creative workflows rarely bill only the published asset.
- 3
Enter media fields in Compare
Open the Comparison tool and fill the relevant image, video, audio, seat, or token fields. Use the same monthly assumptions for every provider in the shortlist.
- 4
Check ROI for production speed
Use the ROI calculator to estimate time saved in creative production, editing, transcription cleanup, or content operations. Include review time for quality and brand fit.
What you should have at the end
You should have a monthly media budget that includes drafts, retries, and the business value of faster production.
Frequently asked questions
Why can't I directly compare per-token text pricing to image or video pricing?
The billing unit changes by modality — images may be priced per generation, video per second, and audio per minute or character — so you need to convert everything to monthly production volume first.
Should I estimate cost using only the final published assets?
No. Creative workflows usually generate multiple draft candidates per final asset, so counting only shipped assets will significantly understate real monthly volume.
Are audio transcription and speech generation priced the same way?
No. Transcription is commonly priced by audio duration, while speech generation is often priced by character or token count, so they need to be modeled as separate cost lines.