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ElevenLabs launches Eleven v4 and v4 Turbo, and claims the top spot in Artificial Analysis' voice arena
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The base model leads Artificial Analysis' provider-voice ranking at 1,319 Elo, while the Turbo variant targets voice agents with about 100 ms median inference latency.
ElevenLabs on Monday launched Eleven v4, which it calls its most emotive text-to-speech model yet, along with a low-latency variant, Eleven v4 Turbo. Both are available in its ElevenAgents and ElevenCreative products and through its API, and both support more than 90 languages.
ElevenLabs says v4 is "ranked #1 by Artificial Analysis". Artificial Analysis's provider-voice text-to-speech leaderboard, which ranks models by Elo from blind listener votes, does show Eleven v4 first at 1,319, ahead of Cartesia's Sonic 3.6 at 1,276 and Google's Gemini 3.8 Flash TTS at 1,267. The lead comes with limits. On Artificial Analysis's separate controlled-voice board, where both clips use the same cloned reference voice, Eleven v4 is second at 1,157 behind Alibaba's Qwen-Audio-3.1-TTS-Plus at 1,178. The provider-voice board does not list Eleven v4 Turbo. ElevenLabs' other headline figure, that about 75 percent of listeners preferred v4 in blind head-to-head tests, comes from its own testing against Cartesia, Inworld and two Google models.
Turbo is aimed at voice agents. ElevenLabs puts its median inference latency at about 100 milliseconds and its median time to first speech at about 150 milliseconds. In ElevenLabs' own comparison, Cartesia's Sonic 3.6 took 262 milliseconds and OpenAI's GPT-4o mini TTS took 814 milliseconds.
Both models are steered with inline tags such as [laughs] or [said angrily in French accent], and ElevenLabs says v4 follows them more accurately than prior models. It says Instant Voice Clones can now capture a voice from 10 seconds of audio. Professional Voice Clones, which v3 did not support, are back, but clones made before the launch have to be retrained to work well with v4. SSML break tags are disabled in favor of natural-language tags.
List prices are $0.08 per 1,000 characters for v4 and $0.04 for v4 Turbo, and through Oct. 12 both are 72 percent off, at $0.022 and $0.011. v4 is available on every plan, including a free tier with 10,000 credits a month, roughly 10 minutes of audio.
ElevenLabs says every voice clone in v4 requires verified consent from the voice's owner, and that generated audio can be detected by its AI Speech Classifier.
The launch comes as rivals push their own speech models. Google released Gemini 3.8 Flash TTS and Flash-Lite TTS on Sept. 23 and said they took the first and second spots on a benchmark from Hume AI, a different leaderboard from Artificial Analysis's.
Sources and citations
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elevenlabs.io/blog/eleven-v4
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SHA-256 53e2ab91863dfa4a4c0fa6cbd3d16c8627ac24765162820b2558f0a298cea62f -
elevenlabs.io/v4
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SHA-256 7a015231323cf8c69c216773ceadc3dc3f3a98744f4915d68ae7b3c2d2fde60c -
elevenlabs.io/pricing/api
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SHA-256 0d46413c8756109bbd7230375db1121666dceb8eb2d3e3b1464f859091511630 -
artificialanalysis.ai/text-to-speech/leaderboard/provider-voice
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SHA-256 d342c7fb2f124d9a2f0a41ace18b1125afed52a1e279338676ddb3c9eaee2f9f -
artificialanalysis.ai/text-to-speech/leaderboard/controlled-voice
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SHA-256 b07367b09b35bf52b5b60ab5e7104728eed0f271eee14c33c21cc70a634d6508 -
www.testingcatalog.com/elevenlabs-launches-eleven-v4-and-v4-turbo-voice-models
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SHA-256 c93f5cb5bbb6edffd1c8c0e6ee8189d7b210838f034c99d80d3d61fbd2f2891d -
siliconangle.com/2026/09/23/google-launches-two-benchmark-topping-speech-generation-models
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SHA-256 286a268cc195f02c04c8bbe6ac33e8828a37ed96964e589400e69bbca29a66c0
How this was checked
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