Speechify’s Simba 3.2 has achieved the top position on the Artificial Analysis Speech Arena Leaderboard, outperforming competitors such as Sonic 3.5, Inworld Realtime TTS 1.5 Max, and Google’s Gemini 3.1 Flash TTS. With an Elo score of 1,233 based on 1,258 appearances, Simba 3.2 is notably the lowest-priced model among leaders at $10 per million characters, in contrast to its nearest rival, Gemini 3.1, which costs $18.3 per million characters. This ranking reflects ongoing advancements in TTS technology that enhance voice naturalness and practical applications in areas like automated customer communications and service scheduling.
Simba 3.2: Simba 3.2 is the newest text-to-speech model developed by Speechify. It has secured the top ranking on the Artificial Analysis Speech Arena Leaderboard, outperforming other prominent TTS offerings in quality assessments.
Sonic 3.5: Sonic 3.5 is a text-to-speech model that participates in independent evaluations on the Artificial Analysis Speech Arena. It placed just behind Speechify’s Simba 3.2 in the latest leaderboard standings.
Speechify: Speechify develops AI-driven text-to-speech solutions for converting written content into natural-sounding audio. The company recently launched its Simba 3.2 model, which achieved the leading position on the Artificial Analysis Speech Arena Leaderboard ahead of several competing systems.
Gemini 3.1 Flash TTS: Gemini 3.1 Flash TTS is Google’s text-to-speech offering integrated into its Gemini AI ecosystem. The model competed on the Artificial Analysis Speech Arena Leaderboard where it was surpassed by Speechify’s Simba 3.2.
Inworld Realtime TTS 1.5 Max: Inworld Realtime TTS 1.5 Max is a text-to-speech model designed for real-time applications and evaluated on public leaderboards. It ranked below Speechify’s Simba 3.2 in the current Artificial Analysis Speech Arena results.
Use Case Expansion: TTS models are being applied to practical scenarios such as automated customer communications and service scheduling.
Product Advancement: Speechify continues to iterate on its core TTS technology with successive model releases that target improved voice naturalness.
Industry Competition: Independent AI evaluation platforms are tracking rapid progress among multiple TTS providers through ongoing arena-style comparisons.
