Cheaper Inference
Model record / ElevenLabs
eleven-v4-turbo
Access eleven-v4-turbo from ElevenLabs through one OpenAI-compatible API with live market-linked pricing and usage-based billing.
Text to speechText inputStandard generationNon-streaming35% below list
What you pay
Current catalog rates.
Input / 1M characters$20.00 list$13.00
Cached input / 1M tokens$0.00
Current discount35%
Observed reliability
50
Successful provider-reaching requests
Output speed
—
Median tokens per second over sustained generations
TTFT
—
p50 · p90 not available · n 0
Latency
1.1 s
p50 · p90 1.1 s · n 1
Evidence strength
—
At a glance
- Provider
- ElevenLabs
- Model ID
- eleven-v4-turbo
- Type
- Text to speech
- Endpoint
- /v1/audio/speech
- Input
- text
- Output
- audio
- Vision input
- Not supported
- Image editing
- Not supported
- Video input
- Not supported
- Reasoning
- Not supported
- Streaming
- Not supported
- Context window
- Not reported
Parameters by endpoint
The request field of each parameter on each endpoint, and the values it takes.
This model takes the fields in its sample request. It has no other stated parameters.
Pricing history
See how much this model saves and when its recorded price has been lowest.
Time zone
eleven-v4-turbo
Early dataSavings are visible now, but a best-time recommendation needs at least 12 observations across 6 different hours.
Last 24 hours
Average saved
30.0%
Last 24 hours
Cheapest time
Collecting data
Too early
Hourly coverage
4/24
4 total observations
Signal quality
Early
More history needed
Typical unit savings$6.00 / 1M input tokens
When this model is cheapest
Each bar is the average discount for that hour in UTC (UTC). Missing bars mean no observation was recorded.
ObservedCheapestNo data
Hover a bar for savings per token and observation counts.
Source buckets are UTC; labels are converted to UTC.
Last 24 hours
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of 425 ranked models
Last 7 days
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of 441 ranked models
Last 30 days
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of 441 ranked models
Ready when you are
Stop paying list price for tokens.
Marketplace pricing, capped at list, optimized further.