Eleven v2/v3 Turbo TTS is a Speech from ElevenLabs (United States / Global).
One-line fit: best used for Narration, agents, media.
Key specifications
| Provider | ElevenLabs |
|---|---|
| Model | Eleven v2/v3 Turbo TTS |
| Type | Speech |
| Context window | N/A |
| Pricing (indicative) | API tiers |
| Company category | Voice AI |
| Region | United States / Global |
| Official site | https://elevenlabs.io |
Benchmarks and public standing
Human pref TTS leader
Treat scores as directional. SWE-bench, Terminal-Bench, LMSYS Arena, Artificial Analysis, and vendor cards use different harnesses and are not always comparable 1:1. Re-check the latest official model card before decisions.
What this model is good at
Narration, agents, media
This aligns with ElevenLabs’s broader strengths:
- TTS quality
- Voice cloning (policy-bound)
- Conversational voice agents
Limitations and watch-outs
Not text LLM
- Rate limits, regional availability, and data retention policies vary by plan.
- Agent harness quality (Cursor, Claude Code, Codex, custom tools) can change outcomes more than raw model Elo.
- Open-weight availability (if any) is separate from hosted API quality and safety filters.
Ideal users
- Product engineers shipping features that match: Narration, agents, media
- Teams standardizing on the ElevenLabs ecosystem
- Agent builders who need a Speech
When to pick something else
- Cheaper volume: compare lower tiers from the same lab or open Chinese/EU alternatives.
- Maximum hard SWE thoughtfulness: compare Claude Fable-class and other coding flagships.
- Giant multimodal corpora / Workspace: compare Gemini-class models.
- Self-host / open weights: Llama, Qwen, DeepSeek, GLM, Mistral open lines.
Parent company
ElevenLabs – Leading AI voice synthesis and conversational voice agents.
Related models from ElevenLabs
Data is curated for AIForumSphere model directory mid-2026 directional figures.
