Speechify's streaming-native text-to-speech model, exposed as a developer API — sub-300ms latency, prosody-level emotion, and the top spot on the Artificial Analysis TTS Arena.
Last verified · 2026-07-07 · by Moe Ameen
The Speechify Simba 3.2 API is the developer-facing side of Speechify's Simba voice-model family — a way to call the same text-to-speech engine that powers Speechify's Reader and Studio products directly from your own code. You send text and a model field of `simba-3.2`, and the API returns synthesized speech, either as a complete audio file or as a low-latency stream. It is exposed through a REST endpoint with first-party TypeScript and Python SDKs, and Speechify positions all of its models behind one unified API so you can swap between Simba variants without rewiring your integration.
Simba 3.2 is the current flagship of that family. It is streaming-native — audio starts arriving in chunks as it is generated rather than after the whole clip renders — which Speechify tunes for very low time-to-first-byte (the model is described in the sub-300ms latency range) so it can hold up in real-time uses like voice agents and live reading. Its distinguishing feature is expressivity: rather than only adjusting speed and pitch, the model works at the prosody level, shaping the rhythmic and tonal patterns that carry emotion, with a set of expressive styles (neutral, happy, sad, excited, calm, and more) plus SSML prosody control. At launch it is English-first with the language set expanding and a growing curated voice roster; its multilingual sibling, Simba 1.6, covers 30-plus languages with a much larger voice library and zero-shot voice cloning.
What makes Simba 3.2 notable is where it lands on independent benchmarks. On the Artificial Analysis Text to Speech Arena — a blind, Elo-rated leaderboard where listeners compare unlabeled samples — Simba 3.2 sits at #1, ahead of models from Google, ElevenLabs, and other major providers, while Speechify prices its API well below most of the top-ranked field. Earlier the previous-generation Simba 3.0 had broken into that leaderboard's top 10 at around $10 per million characters; 3.2 pushed the family to the top. API pricing is tiered and drops toward roughly $6 per million characters at higher volume — verify current rates on Speechify's own pages, since voice pricing and leaderboard positions move.
The honest framing: Simba 3.2 is a voice endpoint, not a content platform. It turns text into excellent audio. It does not write the script, make the video or images it might narrate, caption anything, hold a brand voice across a content week, or publish to any channel. It is one high-quality layer — the spoken audio — in a larger pipeline.
Think of the Simba 3.2 API as the spoken-audio track and Kompozy as the engine that produces everything the track needs and every format around it. The API is genuinely excellent at one thing: turning a block of text into a natural, low-latency read. What it never supplies is the text itself, or the visual and written formats that share the same idea. That is where Kompozy fits — not as a competing voice model, but as the content generation and publishing layer that feeds Simba 3.2 and ships the rest. Kompozy writes the Blog Articles, Text Posts, Email Newsletters, and scripts under a Persona Brief and banned-word filters, so the copy you pipe into `simba-3.2` is already on-brand and audience-fit rather than something you hand-drafted.
The sharpest pairing is a narration or faceless-content channel. Say you run a daily explainer feed. Kompozy generates the script and the long-form article from one source, holds them to your voice, and you call the Simba 3.2 API to voice that article into a clean audio read — for a podcast feed, a listen-along blog, or the voiceover on a faceless YouTube cut you assemble. Then Kompozy takes the same source and produces the formats the API can't: Clipped Shorts and Persona Shorts for the feeds, brand-exact Carousel Posts, Quote Graphics, Photo Posts, and a Newsletter — and schedules and publishes the whole set across nine social platforms plus blog and email from one queue with Autopilot. For social talking-head video specifically, Kompozy already uses HeyGen's built-in TTS, so the two rarely fight over the same lane — Simba 3.2 owns your standalone audio channel, Kompozy owns generation and cross-platform distribution.
It is the developer API for Speechify's Simba 3.2 text-to-speech model — a REST endpoint with first-party TypeScript and Python SDKs that turns text into speech, either as a full audio file or a low-latency stream, using the model field simba-3.2. It exposes the same voice engine behind Speechify's consumer products.
On the Artificial Analysis Text to Speech Arena — a blind, Elo-rated leaderboard — Simba 3.2 currently sits at #1, ahead of models from Google, ElevenLabs, and other providers, while Speechify prices its API well below most of the top-ranked field. Leaderboard positions change, so confirm the current standing before you rely on it.
Speechify prices its voice API by characters of generated speech, on tiers that drop toward roughly $6 per million characters at higher volume (around $10 on the entry tier). Rates move, so verify current numbers on Speechify's own pricing pages.
Simba 3.2 is English-first at launch with the language set expanding and a growing curated voice roster. For broad multilingual output and zero-shot voice cloning, Speechify offers the Simba 1.6 model on the same unified API — you switch by changing the model field.
No. It generates audio only. It does not write scripts, make video or images, caption clips, keep a brand voice across a week, or publish to any platform. A content engine like Kompozy generates the copy and every visual and text format from one source and publishes across nine platforms — then you use Simba 3.2 to voice the audio layer.