audio model comparison
MAI-Voice-2.1 vs Sonic 3.6
MAI-Voice-2.1 and Sonic 3.6 are both current audio models, from Microsoft AI and Cartesia. MAI-Voice-2.1 lists $0.000022 and Sonic 3.6 $0.000065 (Pro plan overage) per character, at different tiers, so the prices are not like for like.
Data verified October 29, 2026 · Dataset 2026-10-29
Side by side
MAI-Voice-2.1 and Sonic 3.6, line by line
Prices in effect today, compared at the same tier wherever both list one. The better value in each row is highlighted.
| Fact | MAI-Voice-2.1 | Sonic 3.6 |
|---|---|---|
| Price | ||
| Price per character | $0.000022 | $0.000065 (Pro plan overage) |
| Independent benchmarks | ||
| Artificial Analysis Speech Arena | Not measured | 1286 Elo (#3 of 11) |
| Specs | ||
| Provider | Microsoft AI | Cartesia |
| Release date | October 1, 2026 | August 27, 2026 |
| Access | API only | API only |
| Context window | Not reported | Not reported |
| Max output | Not reported | Not reported |
| Input | text | text |
| Output | audio | audio |
The two list prices for different tiers, shown in brackets, so neither is marked cheaper.
No independent benchmark has scored both models yet. Each rank counts the current models scored on that benchmark.
Charts
Against every current audio model
Where MAI-Voice-2.1 and Sonic 3.6 land among the current models of their task, on every independent benchmark, on price and on context.
Where each stands
Only Sonic 3.6 has a current Artificial Analysis Speech Arena score: #3 of 11. Each bar is the share of current models it beats.
Independent benchmarks
Artificial Analysis Speech Arena
MAI-Voice-2.1: Not scored
Sonic 3.6:#3of 11
1,286 Elo · ahead of 80%
Price and context
Price per character
MAI-Voice-2.1:#4of 10
$0.000022 · cheaper than 67%
Sonic 3.6:#7of 10
$0.000065 · cheaper than 33%
Cost
What each costs
Example workloads at each provider's listed rates, then every other rate either one lists. The cheaper figure in each row is highlighted.
| Workload or rate | MAI-Voice-2.1 | Sonic 3.6 |
|---|---|---|
| Example workloads | ||
| 1M characters | $22 | $65 (Pro plan overage) |
Verdict
When to choose each
MAI-Voice-2.1
Where it leads
No measured lead over Sonic 3.6 in this data.
Best for
- Multilingual products that keep one voice across languages
- Narration and dialogue with controlled delivery
Watch out for
- Microsoft Foundry lists it as a preview, and voice cloning needs Microsoft approval
- No independent benchmark score is recorded here yet
Sonic 3.6
Where it leads
No measured lead over MAI-Voice-2.1 in this data.
Best for
- Multilingual speech for voice agents
- Indian-language and Hinglish speech
Watch out for
- Credit-based plans only (1 credit per character); the recorded rate is the Pro plan overage of $65 per 1M characters, falling to $38 on the Scale plan
- Cartesia does not state latency figures for this version
From benchmark to production
Building on MAI-Voice-2.1 or Sonic 3.6?
Public scores rarely hold on your own data. We test both models on your real tasks, then build the agent or pipeline around the one that wins.
FAQ
MAI-Voice-2.1 vs Sonic 3.6 FAQ
Which is cheaper, MAI-Voice-2.1 or Sonic 3.6?
MAI-Voice-2.1 lists $0.000022 and Sonic 3.6 $0.000065 (Pro plan overage) per character, at different tiers, so the prices are not like for like.
Further reading
More on MAI-Voice-2.1 and Sonic 3.6
Related comparisons
- MAI-Voice-2.1 vs Voxtral Mini TTS 3
- Eleven v4 Turbo vs Sonic 3.6
- Eleven Flash v2.5 vs MAI-Voice-2.1
- Eleven v4 vs Sonic 3.6
- Eleven Multilingual v2 vs MAI-Voice-2.1
- Gemini 3.8 Flash TTS vs Sonic 3.6
- Eleven v3 vs MAI-Voice-2.1
- Eleven Flash v2.5 vs Sonic 3.6
- Eleven v4 Turbo vs MAI-Voice-2.1
- Eleven Multilingual v2 vs Sonic 3.6
- Eleven v4 vs MAI-Voice-2.1
- Eleven v3 vs Sonic 3.6
Production evaluation
Choosing between MAI-Voice-2.1 and Sonic 3.6?
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
