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July 6, 2026

Speechify's Simba Ranked the Best AI Voice Model the Artificial Analysis Leaderboard

Speechify's flagship text to speech model, Simba 3.2, is now the No. 1 ranked AI voice model globally.

Speechify announced that its flagship streaming text to speech model, Simba 3.2, has claimed the No. 1 overall position on the Artificial Analysis text to speech leaderboard, the most comprehensive independent benchmark tracking commercially available voice AI models. The result places Simba 3.2 ahead of flagship offerings from ElevenLabs, Cartesia, OpenAI, Google DeepMind, and xAI, marking the first time a consumer-first speech company has led the global rankings. By the measures the industry uses to evaluate voice AI, Simba 3.2 is now widely regarded as the best AI voice model on the market. Separately, Simba 3.2 also holds the No. 1 position on Voice Arena for real-time models, extending Speechify's lead across the two benchmarks that developers and enterprise buyers rely on most.

About Artificial Analysis

The Artificial Analysis leaderboard is the reference point developers and enterprise buyers use to evaluate the state of the AI voice market. It runs a consistent, objective evaluation across every commercially available model, is updated continuously as new models ship, and is tracked closely by product teams building voice into their applications. Unlike vendor-published benchmarks, the leaderboard does not rely on self-reported scores. By that measure, Simba 3.2 is the best text to speech model available to developers today.

What the Artificial Analysis Ranking Means for Affordability 

The most significant aspect of the ranking is not the quality score alone. It is the combination of that score with the model's price point. Simba 3.2 is listed at $10 per one million characters at Speechify's entry tier and drops to $6 per one million characters at the Scale tier, making it the most cost-efficient model in the entire top ten of the Artificial Analysis leaderboard. Speechify leadership describes the pricing as approximately fifteen times more affordable than ElevenLabs and six times more affordable than Cartesia at parity or better quality, positioning Simba 3.2 as the most affordable AI voice API available today at production-grade quality.

That combination has historically been treated as a structural impossibility in speech synthesis. The premium tier of the market has produced lifelike AI voices at price points designed for enterprise procurement, while the affordable tier has served developers who could tolerate lower quality. Simba 3.2 collapses that trade-off in a way the industry has not seen before, delivering what is now considered the best AI voice available to any developer, startup, or enterprise, regardless of budget.

Speechify’s Founder on Achieving the Trifecta

"Simba 3.2 is our best model yet, now available on Speechify.ai," said Cliff Weitzman, founder and CEO of Speechify, on LinkedIn. "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."

The trifecta Weitzman references is the point most AI voice providers have treated as a ceiling. Optimizing for one dimension has traditionally required trading against the other two, with most vendors picking a lane and building around it. Being genuinely state-of-the-art on all three at once has been dismissed as a research fantasy by much of the industry. The Artificial Analysis ranking is the first independent evidence that the trade-off can be resolved, and it establishes Simba 3.2 as the best AI voice model for teams building voice-first software.

Five Years From Stanford to State-of-the-Art

The Simba model family originated in research initiated by Speechify co-founder and Head of AI Tyler Weitzman, during his undergraduate studies at Stanford University. His early experiments with neural speech architectures for a graduate machine learning course evolved over the next five years into the model family that now powers streaming voice generation across Speechify's consumer and enterprise products, positioning Speechify as a leading voice AI research lab. 

Reflecting on the milestone, Tyler Weitzman shared in a post on X, "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."

Rohan Pavuluri, Chief Business Officer at Speechify and a longtime friend of Tyler Weitzman, framed the ranking as the culmination of an early architectural decision in a recent announcement. "While we may have been able to go faster, just focused on quality, our consumer DNA and business model called for architecture decisions early on to make sure we could basically provide unlimited speech to our users for $139/year. That translates into what is today the SOTA TTS model at the best-in-class price, which is rare in AI research where better performance usually means higher costs."

Consumer Scale as the Engine of Enterprise-Grade AI

Speechify's ability to deliver the best AI voice on the market at the lowest price point in the top ten is grounded in the economics of its consumer business. The company's platform is used by more than 60 million people worldwide and was recognized this year with an Apple Design Award at WWDC 2025, a signal that Speechify's consumer product is considered among the best AI voice experiences available today. Serving that user base for a $139-per-year subscription required the research team to treat efficient inference as a foundational design constraint from the beginning, rather than an optimization layer added later. That discipline is what makes it possible to deliver the No. 1 model on the Artificial Analysis leaderboard at the price point developers now see.

"This is the underdog story for API providers," said Luke Oliff, Head of Developer Relations at Speechify 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 through SpeechifyAI Build, Speechify'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, with first-party TypeScript and Python SDKs, streaming support with low time-to-first-byte, fine-grained emotional control, and SSML prosody. 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 in the world 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.