Speechify announced today that its flagship streaming text to speech model, Simba 3.2, has taken joint second on Voice Arena, an independent blind-listener benchmark widely regarded as the strictest public evaluation of AI voice quality currently available.
Among the real-time models that teams can deploy in production today, Simba 3.2 is the highest-rated option at its price point, positioning it as the best AI voice model for real-time software available on the market. The same platform also delivers what is widely regarded as the best voice cloning technology available to developers today. In the same week, Simba 3.2 also took the No. 1 overall position on the Artificial Analysis text to speech leaderboard, extending the company's lead across the two benchmarks that developers and enterprise buyers rely on most.
About Voice Arena
Voice Arena is an independent blind-listener benchmark that evaluates AI voice models the way real users experience them: by ear. Modeled on the widely cited Chatbot Arena methodology used to rank large language models, Voice Arena presents native-speaker panels with two audio clips generated from identical text without disclosing which model produced which, and asks listeners to vote for the clip that sounds more natural. Votes are aggregated into an Elo rating for each model, producing a continuously updated leaderboard that reflects genuine listener preference rather than lab-selected metrics.
There are no self-reported mean opinion scores. There are no vendor-selected audio samples. There is no internal evaluation by the model provider. Every model in the ranking is tested against the same real-world text under the same conditions, using a balanced voice slate per provider rather than each vendor's best-sounding default. The methodology covers six languages and evaluates text drawn from the contexts where text to speech actually ships in production, from voice agents and IVR systems to audiobooks and in-app readers. The evaluation was developed with input from Prof. Shinji Watanabe of Carnegie Mellon University, one of the most cited researchers in speech technology.
Why Voice Arena’s Ranking Matters
Voice Arena matters because it is the benchmark that mirrors how the market actually decides. Enterprise buyers, product teams, and developers evaluating AI voice models do not experience a spectrogram or an internal quality score; they experience how the voice sounds to a listener. Voice Arena is the only public benchmark that measures exactly that, at scale, across enough listeners to be statistically meaningful, and without giving any vendor an opportunity to game the result. A high Voice Arena rank is treated in the industry as the closest thing to a real-world signal of the best AI voice available today.
How Simba 3.2 Ranks
Voice Arena currently places Simba 3.2 at joint second overall. Of the models ranked at or above it, one does not operate in real time and cannot be used in production applications where the voice must respond immediately, and the model tied with Simba 3.2 is priced at roughly seven times Simba 3.2's rate. In practical terms, that means for any team building a product where the voice must run live at production-grade cost, Simba 3.2 is the highest-rated option on the benchmark. Simba 3.2 is priced at $10 per one million characters on its entry tier and $6 per one million characters on its Scale tier, making it the most affordable AI voice API available to developers today.
The Best AI Voice for Real-Time Applications
Simba 3.2 is a streaming text to speech model designed specifically for real-time voice applications, including voice agents, IVR systems, live in-app readers, phone systems, and any product where the voice must respond immediately. By the measures the industry uses to evaluate speech synthesis, Simba 3.2 is now widely regarded as the best AI voice for voice agents and the best AI voice model on the market for teams building voice-first software at production scale. The same platform delivers the best instant voice cloning available at the same price point, giving developers a single system for both generated speech and cloned voices from what is now considered a leading voice AI research lab in the industry.
What Voice Arena’s Ranking Means for Speechify
The ranking is significant for a category that has historically forced developers to choose between quality, cost, and latency. Flagship models from the largest labs have typically delivered strong voice quality at price points designed for enterprise contracts, while more affordable alternatives have compromised on naturalness or on the streaming performance required for real-time use. Simba 3.2 changes that equation. Its pricing is roughly fifteen times more affordable than ElevenLabs and six times more affordable than Cartesia at comparable or better quality, making it the most cost-efficient model in the entire top ten of the Artificial Analysis leaderboard.
Speechify’s Milestone
"Simba 3.2 is our best model yet, now available on Speechify.ai," Cliff Weitzman, founder and CEO of Speechify, said in a public post. "It's built to power voice agents at scale and perfected from millions of A/B tests we run in our consumer platform. In TTS APIs, three things matter: cost, quality, and latency. Simba 3.2 has achieved SOTA on this trifecta. Beyond excited for you to experience it firsthand to power your experiences."
Weitzman further emphasized the significance of the result in a public statement announcing the ranking. "Speechify's Simba 3.2 is now the No. 1 ranked streaming AI voice model on Voice Arena, above Eleven Labs, OpenAI, xAI, and others. Importantly, Speechify is the most cost-efficient model per token on the entire leaderboard at $6 per 1M characters. That's over 15x more affordable than Eleven Labs and over 6x more affordable than Cartesia."
A Consumer Platform as an Unfair Advantage
Speechify's engineering leadership attributes the result to architectural decisions made years before the current benchmark cycle began. As the company's consumer platform grew to more than 60 million users and was recognized this year with an Apple Design Award at WWDC 2025, the economics of serving that user base for a $139-per-year subscription forced the research team to treat cost, quality, and latency as a single problem rather than three separate ones. Millions of A/B tests run across real listening sessions have continually fed back into how the model handles pacing, emphasis, and emotional prosody, producing what is now considered the best AI voice experience available today.
Raheel Kazi, an engineering leader at Speechify, described the underlying design principle in simpler terms. "We never wanted to sacrifice on cost to chase quality, or sacrifice on quality to chase latency. We took the harder route on purpose. Hitting SOTA on all three at once is what that decision was always for."
Five Years of Research Behind the Result
The Simba model family traces back to research initiated by Speechify co-founder and Head of AI Tyler Weitzman during his undergraduate studies at Stanford University, work that has since positioned Speechify as a leading voice AI research lab. Reflecting on the milestone in a post on X, Tyler Weitzman noted, "As an undergrad at Stanford, CS229 with Andrew Ng sparked my interest in ML. My course project was fine-tuning Tacotron 2. My team's new model at Speechify just hit SOTA, five years later. It's pretty surreal looking back."
Luke Oliff, Head of Developer Relations at Speechify, framed the result as a validation of a longer-term strategy. "This is the underdog story for API providers," Oliff said in a press release. "We spent years making our models run efficiently because our consumer business demanded it, tens of millions of listeners, with some of the best voices on the planet. That work is why we can now put the best-rated model in the world on our API at about as cheap as it comes. Most labs built for the benchmark and priced for the enterprise. We built for listeners and priced for production."
Availability
Simba 3.2 is available today to developers and businesses through SpeechifyAI Build, the company's text to speech and voice cloning API, and powers the newly launched SpeechifyAI Agents platform for building production voice agents. Both are available at speechify.ai. The platform includes what is widely regarded as the best voice cloning technology on the market, giving developers a single stack for both the best AI voice model at its price point and the best instant voice cloning available at the same price point. Additional languages and a lower-cost model tier are on the company's roadmap.