SevenTnewS
AI

AI & Research

Voxtral TTS's 68% win rate just made ElevenLabs look vulnerable

Voxtral TTS sets a new bar for multilingual voice cloning, winning 68.4% of preference comparisons against ElevenLabs Flash v2.5. The model's hybrid architecture and open-weight release could reshape the TTS landscape.

Emmanuel Fabrice Omgbwa Yasse AI-assisted

2026-07-24 · Last updated: 2026-07-31 · 1 min read

Xinf
Voxtral TTS's 68% win rate just made ElevenLabs look vulnerable

The text-to-speech market has been dominated by a handful of proprietary APIs for years. ElevenLabs, with its expressive voices and low latency, has been

Get the tech essentials in 3 minutes every morning

One email, every weekday, with what actually matters in AI and tech.

#ElevenLabs competitor#flow-matching#multilingual TTS#open source#text-to-speech#voice cloning#Voxtral Codec

Related articles

LLMs & Models

Magpie TTS spends 32ms of your voice agent's latency budget

Meta AI

Muse Glimmer: Meta's 30B agent fits under 20GB, cloud optional

Qwen / Alibaba

Qwen2.5-Omni outperforms Gemini-1.5-Pro on OmniBench, fits under 12GB

IoT & Sensors

The 7B model that just made GPT-4o-mini look expensive

LLMs & Models

Inkling is open-source AI's $53 billion reality check

Discover

Nobody can define AI slop. SlopFinder is averaging the answer

Muon groks modular addition faster, then its solutions collapse

The US is outsourcing offensive hacking. Knowing who to hit is the catch

Blast Radius buries dead context. Zero of 450 bodies came back

Apple wants up to 15% on the linkout sales it says cost it nothing

Xiaohongshu's dots3-note: a 280B open MoE that only activates 16B

Google's app store fight has come down to a search box and a button

Claude's invisible watermark is coming. A full rewrite erases it