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OpenAI's compact text-to-speech model synthesizes audio across 13 voices from text prompts up to 2,000 tokens.
Overview. GPT-4o Mini TTS is OpenAI's dedicated text-to-speech model derived from the GPT-4o Mini family. Accessed through the speech audio endpoint rather than chat completions, it converts plain text inputs of up to 2,000 tokens directly into synthesized speech audio. OpenAI has marked the model as deprecated, with an end-of-life shutdown scheduled for January 6, 2027.
Key strengths. The model provides 13 built-in voices and exports audio across multiple formats, including MP3, AAC, FLAC, Opus, WAV, and PCM. Operating within an interactive latency profile, it delivers dependable speech synthesis designed for user notifications, application prompts, and compact spoken passages.
When to use it. Deploy this model for straightforward text-to-speech pipelines that synthesize passages within the 2,000-token limit without requiring two-way voice conversations. Because OpenAI has deprecated the endpoint in favor of gpt-realtime-2.1-mini, teams initiating new implementations should plan for migration ahead of the January 2027 retirement date.
Limitations. Input size is capped at 2,000 tokens per request, requiring manual text chunking for longer documents. The model does not accept audio inputs, cannot return text completions or structured data, and supports no tool calling or cognitive reasoning capabilities.
Sovereignty note. GPT-4o Mini TTS is a proprietary closed-weight model operated by OpenAI in the United States. Inference requests fall under US jurisdiction and are subject to the CLOUD Act, without sovereign European hosting options.
| Inference Provider | Sovereignty | Runs in | Price | Status | Pin |
|---|---|---|---|---|---|
| L0 | €0.54 per 1M input tokens€10.77 per 1M output tokens | Online |
8 use cases classified by the curator. The note says why.
Dedicated text-to-speech variant within the GPT-4o mini line designed specifically for cost-efficient, natural speech generation.
Well-suited for the voice generation and audio synthesis layer of conversational agent pipelines requiring low latency.
Specialized speech generation model with no software engineering or code generation utility.
Specialized speech generation endpoint; lacks standalone interactive text dialogue handling without paired upstream conversational models.
Lacks vision ingestion capabilities; specialized strictly for text-to-speech output.
Architected exclusively for audio synthesis rather than text parsing or structured schema extraction.
Dedicated speech synthesis model lacking agentic tool-use and function-orchestration capabilities.
Active counter-recommendation; this is a text-to-speech synthesis endpoint and does not support speech recognition or audio ingestion.
Sourced numbers, not our own evaluations. Percentiles are against the speech models on Stav.
No benchmark source yet
curl https://api.stav.ai/v1/audio/speech \
-H "Authorization: Bearer $STAV_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model": "openai/gpt-4o-mini-tts", "input": "Hei, verden!", "voice": "alloy"}' \
--output speech.mp3→ X-Stav-Request-Id · X-Stav-Model · X-Stav-Provider → X-Stav-Sovereignty-Level — the rung the request was served at