Key Speech 2.5 API Features

The Speech 2.5 API uses a native speech-to-speech (S2S) architecture that removes the intermediate text-transcription layer. This reduces the Time-To-First-Audio to approximately 280ms in optimal conditions. For the lowest possible latency in interactive applications, we recommend using the WebSocket streaming interface rather than standard chunked HTTP.

Yes, the 2.5 turbo model features zero-shot voice cloning. You can replicate a speaker's voice using just a 3-second audio sample. This process requires no secondary training or fine-tuning, allowing you to generate speech with a specific timbre or accent instantly via the /v1/audio/voices endpoint.

Pricing is based on both token count for input and audio duration for output. Input text is priced at $2.00 per 1M tokens, while input audio costs $0.015 per minute. Generated output audio is billed at $0.030 per minute. GPTProto.com users benefit from unified billing and 50% discounts on cached audio prompts for repeat sessions.

No. Under our Enterprise Privacy Policy, all audio and text data processed through the Speech 2.5 API is not used for training by us or MiniMax. Your intellectual property and voice clones remain private and secure within your project environment.

While GPT-4o has a slightly faster TTFA (~240ms), the Speech 2.5 API offers a higher sampling rate of 48kHz compared to GPT-4o's 24kHz. Additionally, Speech 2.5 provides superior non-verbal emotional cues, such as audible sighs and laughter, which are often limited in other low-latency models.

Absolutely. The model is optimized for bilingual code-switching across more than 25 languages. It can transition between languages like English and Chinese within a single sentence while keeping the speaker's identity and emotional delivery perfectly consistent.