Eleven v3: Pricing, Performance & Examples
Eleven v3 is a text-to-speech model from ElevenLabs, released in January 2025, with a 750-token context window, and pricing from $7500000 per 1M input tokens.
Most expressive AI text-to-speech model with high emotional range and contextual understanding. Supports 70+ languages, 3K character limit. Best for audiobooks and emotional dialogue.
Eleven v3 pricing
Providers
Eleven v3 starts at $7500000 per million input tokens via Elevenlabs.
| Provider | Input $/M | Cached input $/M | Output $/M | Context in / out | TTFT p95 s | Output p5 c/s | Modalities in / out |
|---|---|---|---|---|---|---|---|
 Elevenlabs | $7500000 | — | — | 750/— | — | — | / |
Cached input is the discounted price for prompt tokens served from a provider cache. TTFT is time to first token. Output is characters per second; p5 is the sustained floor exceeded by 95% of observed requests.
Eleven v3 context window
Input and output token limits for Eleven v3, plus how it ranks on long-context understanding.
Eleven v3 API
Run a request to see the response
Use it in your code
OpenAI-compatible endpoint through the LLM Stats gateway.
import requests
response = requests.post(
"https://gateway.llm-stats.com/v1/tts/synthesize",
headers={"Authorization": "Bearer YOUR_API_KEY"},
json={
"model_id": "eleven_v3",
"text": "Hello, this is a test.",
"format": "mp3",
"sample_rate": 24000,
},
)
with open("output.mp3", "wb") as f:
f.write(response.content)Need an API key? Create one above in the playground, or read the API documentation.
Eleven v3 latency
Eleven v3 time to first token, sustained output throughput, and failed-request rate from live API traffic over the trailing 7 days.
Eleven v3 license
Eleven v3 is a proprietary model available under its provider's product and API terms.
- License
- Proprietary
- Hosted access
Proprietary license - usage restrictions apply
FAQ
Common questions about Eleven v3.