Shotcraft
Voice and speech

gpt-4o-mini-tts

OpenAI's current text-to-speech model, steerable with natural-language instructions about how a line should be delivered.

A speech model by OpenAI · read 2026-08-14 · sourcing medium

Weights
Not released
API
Yes
Commercial use
Vendor states commercial use is permitted

It replaces the older tts-1 and tts-1-hd models, which are still listed at flat per-character prices. There is no voice cloning; you pick from OpenAI's preset voices.

Commercial use — Vendor states commercial use is permitted

Governed by OpenAI's API terms; output can be used commercially.

The licence notes recorded during research were read for a commercial-use position and did not state one. Read the licence before you rely on any of this. Nothing on this page is legal advice, and this site does not tell you a model is cleared for commercial use.

Specification

Vendor figures, read 2026-08-14Read from OpenAI's own documentation on 2026-08-14. Vendors change these between model versions without announcing it, so check theirs before you commit a shot to a number. Sourcing for this entry is mixed. Some fields came from pages we retrieved, others could not be confirmed and are left blank. Check the vendor's current documentation

What it takes in
text
What it makes
audio
Controls
style-prompting, emotion-control, streaming-low-latency, speed-control
Weights
Not released
API
Yes
Pricing
$12.00 per 1M audio output tokens (per OpenAI's pricing page audio row). Legacy models on the same page: tts-1 $15.00 per 1M characters, tts-1-hd $30.00 per 1M characters.
Released or updated
not established
Languages
not established

Strengths

  • Instruction-following delivery control without SSML
  • Very cheap relative to expressive competitors
  • Simple integration if you already use the OpenAI API
  • Legacy tts-1 / tts-1-hd still available with flat per-character pricing

Weaknesses

  • No voice cloning at all - a hard blocker for talent replication
  • Small preset voice roster
  • No published latency figure on the pages fetched
  • Input token cap per request not confirmed from a vendor page
  • Language count not documented on the pages fetched

Best for

Where the sources disagree

Recorded rather than resolved. Picking the tidier number would hide the fact that the vendor's own pages do not agree.

What to understand before using it

Explainers naming the mechanisms this model's own documentation mentions.

MCP servers that front OpenAI

Servers in the media MCP directory whose own description or homepage names this vendor. Absence of a server here is not evidence that none exists: most publish no tool list at all.

See it from the vendor

Shotcraft hosts no sample output. Judging a model means watching its own showreel with your own eyes, and a clip re-hosted here would be a clip we chose.

Nearby in the directory

Sources

Read on 2026-08-14. A source that has changed since then will not be reflected here until the next pass.