ElevenLabs has launched Eleven v4 and Eleven v4 Turbo, a pair of text-to-speech models aimed at making AI speech more expressive for produced audio and fast enough for live voice agents. The launch was announced on September 28, 2026, and ElevenLabs updated its announcement on October 1.
Tech Help Canada’s ElevenLabs review covers the broader platform, including its features, pricing, strengths, and trade-offs.
The useful change is control, not just realism
ElevenLabs says the new model family can interpret tone, pacing, emotion, character, and context while preserving speaker identity across longer passages, dialogue, and regenerated lines. It also says users can guide delivery with natural-language prompts and inline audio tags for emotion, accents, delivery cues, laughter, sound effects, and other performance details.
That gives creators more room to direct narration, ads, game dialogue, and dubbing without recording multiple human takes. It also means quality control needs more attention. A voice that can sound dramatic, tender, urgent, comedic, or conversational has to be tested for the setting, especially in customer support or education where an over-performed line can feel wrong.
v4 and v4 Turbo are aimed at different jobs
ElevenLabs documentation lists eleven_v4 as the flagship model for fidelity, emotional expression, and broad language support. The docs recommend it for professional content, audiobooks, and video narration.
eleven_v4_turbo is the real-time version. ElevenLabs lists it at about 100 ms median inference latency and positions it for conversational applications. In the launch announcement, the company also reported about 150 ms median time to first speech in a September 2026 benchmark that removed measured network latency and used WebSocket streaming.
Those numbers are useful, but they are still measured conditions. Real deployments can add delay through network routing, the app layer, the language model behind the agent, and telephony or browser audio handling.
Language and cloning upgrades make localization easier
Both v4 models support more than 90 languages. That is a step up from the v3 family, which ElevenLabs documentation lists at more than 70 languages. ElevenLabs says v4 brings especially strong improvements to Japanese, Brazilian Portuguese, Mandarin, and Cantonese, along with improvements across many other languages.
The company also says v4 improves accent adherence, so a voice recorded in one language can speak another with the target language’s accent while retaining the original voice identity. For publishers, training teams, game studios, and businesses localizing support content, that is the part of the release that may matter more than a short demo clip.
Voice cloning is also a bigger part of the update. ElevenLabs says Instant Voice Clones can capture a voice from 10 seconds of audio, and v4 adds support for Professional Voice Clones. For long-form work, it also says request stitching, which chains generations together, is more reliable in v4.
ElevenReader rollout brings v4 to everyday listening
ElevenLabs also moved v4 into ElevenReader. A September 30 ElevenReader post, updated October 2, says the reading app now uses v4 for more expressive narration and supports text-to-speech in more than 90 languages, up from 32.
The same post says the updates are available on the Free plan. It lists 10 hours of text-to-speech uploads each month on Free and an Ultra plan at $11 per month with unlimited text-to-speech, offline mode, and human-narrated audiobooks.
The model will be heard by people listening to PDFs, eBooks, articles, documents, and web content, where consistency over long sessions can matter as much as a short demo.
Launch pricing creates a short testing window
ElevenLabs’ API pricing page, checked on October 4, 2026, listed v4 at $0.022 per 1,000 characters and v4 Turbo at $0.011 per 1,000 characters under a launch discount marked as 72 percent off until October 12. The same page showed struck-through rates of $0.08 and $0.04 per 1,000 characters, respectively, and said prices exclude taxes, levies, and duties.
For teams testing the models, the temporary discount lowers the cost of early evaluation. For production planning, the safer assumption is the displayed non-discounted rate unless ElevenLabs extends the offer.
The safety question gets harder as cloning improves
The stronger cloning claims arrive with a clear policy burden. ElevenLabs’ v4 product page says every clone requires verified consent from the voice’s owner. Its Prohibited Use Policy bars unauthorized, deceptive, or harmful impersonation, including attempts to replicate another person’s voice without consent or legal right.
The policy also says organizations using ElevenAgents to power AI agents must clearly disclose that a user is interacting with AI rather than a human. ElevenLabs’ safety page says the company uses AI classifiers, human reviewers, internal investigations, public reporting, celebrity and high-risk voice blocking, and technological verification for Professional Voice Cloning.
Those safeguards do not remove the operational duty for companies using the tools. Any business deploying a cloned or branded voice still needs documented rights, review workflows, disclosures, fallback paths, and a plan for abuse reports.
What this means for AI voice competition
ElevenLabs is releasing v4 as competition in speech generation is widening. TechCrunch pointed to startups including Cartesia, Deepgram, Fish Audio, Boson, and WellSaid Labs, while Google and OpenAI have also improved voice models.
The immediate contest is not only who can make the most lifelike voice. It is who can combine believable delivery, low latency, multilingual consistency, consent controls, and predictable pricing in products that can survive real use outside demos. The next tests will come from independent comparisons, long-form listening, multilingual edge cases, and real customer-agent deployments.
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