audio model comparison
Eleven v3 vs Eleven v4 Turbo
Eleven v3 and Eleven v4 Turbo are both current audio models, from ElevenLabs. Eleven v4 Turbo is 50% cheaper per character than Eleven v3, $0.00004 vs $0.00008. On Artificial Analysis Speech Arena, Eleven v3 scores 1177 Elo and Eleven v4 Turbo 1330 Elo (Artificial Analysis, measured October 13, 2026).
Data verified October 13, 2026 · Dataset 2026-10-13
Side by side
Standard-tier prices in effect today. The better value in each row is highlighted.
| Fact | Eleven v3 | Eleven v4 Turbo |
|---|---|---|
| Price per character | $0.00008 | $0.00004 (better) |
| Artificial Analysis Speech Arena | 1177 Elo (#7 of 11) | 1330 Elo (#1 of 11) (better) |
| Provider | ElevenLabs | ElevenLabs |
| Release date | Not reported | September 28, 2026 |
| Access | API only | API only |
| Context window | Not reported | Not reported |
| Max output | Not reported | Not reported |
| Input | text | text |
| Output | audio | audio |
When to choose each
Eleven v3
Best for
- Expressive multilingual speech
Watch out for
- ElevenLabs now calls it a previous-generation model; Eleven v4 replaces it at the same $0.08 per 1,000 characters
Eleven v4 Turbo
Best for
- Realtime voice agents
- Low-latency streaming speech
Watch out for
- ElevenLabs' latency figures exclude application and network latency
Eleven v3 vs Eleven v4 Turbo FAQ
Which is cheaper, Eleven v3 or Eleven v4 Turbo?
Eleven v4 Turbo is 50% cheaper per character than Eleven v3, $0.00004 vs $0.00008.
Which scores higher on independent benchmarks, Eleven v3 or Eleven v4 Turbo?
Eleven v4 Turbo leads on Artificial Analysis Speech Arena, 1330 Elo to 1177 Elo. Scores are independent evaluations, not either vendor's launch figures.
Related comparisons
Production evaluation
Choosing between Eleven v3 and Eleven v4 Turbo?
Public benchmarks narrow the shortlist. We run both on your own tasks, data and cost limits, then build the routing and review controls to run the winner in production.
- A head-to-head evaluation on your real workload
- Routing between models by cost and difficulty