Multimodal AI Cost Guide: Voice, Video and Image Pricing Explained

Unlike text-based LLM pricing, which almost universally bills by the token, multimodal AI services each use their own distinct billing unit — a genuine source of confusion when budgeting a project that touches several of these services at once.

Voice: characters out, minutes in

Text-to-speech bills by the character of input text — a genuinely different unit than tokens, reflecting that synthesis cost tracks raw text length rather than tokenization. The Text-to-Speech Cost Calculator handles this conversion. Speech-to-text runs the opposite direction, billing by minute of audio processed, covered by the Speech-to-Text Cost Calculator. For a custom cloned voice specifically, the Voice Cloning Cost Calculator adds a one-time setup fee on top of ongoing character-based usage.

Video: priced per second, and genuinely expensive

AI video generation is billed per second of generated footage, and its per-second cost is considerably higher than image generation, reflecting the dramatically greater computational cost of generating a coherent sequence of frames rather than one static image. The AI Video Generation Cost Calculator estimates this cost, and it’s worth budgeting for regeneration attempts too, since getting a specific creative result often takes more than one try.

Images: upscaling is priced per image, not per pixel

AI image upscaling — enhancing an existing image’s resolution — bills per image processed, with price often varying by upscale factor (2x versus 4x versus 8x). The Image Upscaling Cost Calculator estimates batch upscaling cost for a project like archive restoration or catalog enhancement.

Vision models: images inside a token-based request

When an image is sent to a multimodal LLM as part of a request (for analysis, description, or visual question-answering), it gets converted into a token equivalent — often several hundred to over a thousand tokens per image — layered on top of any accompanying text tokens. The Multimodal Token Cost Calculator handles this specific case, which is easy to underestimate since a single image can cost more tokens than several paragraphs of text.

Meetings: a seat-based product, not a raw API

AI meeting notetakers bundle transcription into a per-seat subscription with a meeting-minutes allowance, a genuinely different pricing model than a raw transcription API. The AI Meeting Transcription Cost Calculator models this seat-plus-overage structure directly.

Service	Billing unit	Calculator
Text-to-speech	Per character	Text-to-Speech Cost
Speech-to-text	Per minute of audio	Speech-to-Text Cost
Video generation	Per second of footage	AI Video Generation Cost
Image upscaling	Per image	Image Upscaling Cost
Vision (LLM images)	Token equivalent per image	Multimodal Token Cost
Meeting transcription	Per seat, plus minutes overage	Meeting Transcription Cost

Budgeting a multimodal AI project means identifying which specific billing unit applies to each service involved, rather than assuming a single token-based mental model transfers cleanly across voice, video, and image services that each price fundamentally differently.