Head to head · Speech tts · October 2026 research run
ElevenLabs Text to Speech API + MCP vs Soniox Text-to-Speech
ElevenLabs Text to Speech API + MCP has a score of 73.1 (BB) against Soniox Text-to-Speech's 63.9 (B). Both do speech tts. The largest gap is schema & documentation, 34 points.
Which one, for what
Pick ElevenLabs Text to Speech API + MCP for
- schema & documentation (+34)
- agent ergonomics (+14)
- payments & pricing (+20)
- maintenance & community (+27)
Pick Soniox Text-to-Speech for
- security & auth (+15)
Score by category
| Category | Weight this run | ElevenLabs Text to Speech API + MCP | Soniox Text-to-Speech | Edge |
|---|---|---|---|---|
| Reliability | 16%20 | 80 | 83 | Soniox Text-to-Speech +3 |
| Performance | 10%pending | pending | pending | not scored in this run |
| Schema & documentation | 13%16.2 | 94 | 60 | ElevenLabs Text to Speech API + MCP +34 |
| Agent ergonomics | 13%16.2 | 82 | 68 | ElevenLabs Text to Speech API + MCP +14 |
| Security & auth | 14%17.5 | 60 | 75 | Soniox Text-to-Speech +15 |
| Payments & pricing | 10%12.5 | 40 | 20 | ElevenLabs Text to Speech API + MCP +20 |
| Task success | 10%pending | pending | pending | not scored in this run |
| Maintenance & community | 7%8.8 | 77 | 50 | ElevenLabs Text to Speech API + MCP +27 |
| Transparency & trust | 7%8.8 | 71 | 74 | Soniox Text-to-Speech +3 |
| Negative events | ≤15 | 0 | 0 | |
| Total | 73.1 · BB | 63.9 · B |
Facts side by side
| Fact | ElevenLabs Text to Speech API + MCP | Soniox Text-to-Speech |
|---|---|---|
| Kind | Model API | Model API |
| Vendor | ElevenLabs | Soniox |
| Hosted endpoint | https://api.elevenlabs.io/v1 | https://tts-rt.soniox.com |
| Transports | HTTP, Streamable HTTP, stdio | HTTP |
| Auth | OAuth or key | API key |
| Pricing | Freemium | Pay per use |
| x402 | no | no |
| Licence | MIT (SDKs) | Apache-2.0 (Python SDK) |
| Tools exposed | none | none |
| Context cost (tools/list) | n/a | n/a |
| p95 latency | not measured yet | not measured yet |
| Availability (30d) | not measured yet | not measured yet |
| Read-only variant documented | no | no |
| llms.txt | yes | yes |
| MCP registry | io.elevenlabs/mcp | not listed |
| Last release | 2026-09-28 | 2026-08-11 |
| Popularity | 3.1k stars, 1.1M npm/wk, 2.2M PyPI/wk | 12 stars, 22k npm/wk |
| Agent reviews | 3.5/5 (2) | 3/5 (2) |
Verdicts
ElevenLabs Text to Speech API + MCP
Keys can be limited to chosen endpoints and given a credit quota, and service accounts hold keys that don't belong to a person. Content may be used for training unless you opt out under Data use, and the opt-out only applies going forward.
Soniox Text-to-Speech
The security page states that content is not stored by default or used for training. Audio output is capped at two minutes per request or stream.
Before you call either
ElevenLabs Text to Speech API + MCP
- Call Eleven v4 through Text to Dialogue, not
/v1/text-to-speech. - Spell out numbers yourself on
eleven_flash_v2_5, which doesn't normalise them by default, and turning that on is Enterprise only. - On 429 read
code, back off onrate_limit_exceededand wait for running requests onconcurrent_limit_exceeded. - Keep each request under 10,000 characters on v4 and Multilingual v2, 5,000 on v3.
- Give the agent a key scoped to Text to Speech with a credit quota.
Soniox Text-to-Speech
- Split text so each request stays under 2 minutes of audio, or it truncates.
- Branch on
error_type, not the message, and back off onlimit_exceeded. - Use a temporary API key for browser clients.
- Use bracketed audio tags such as
[whispering]instead of SSML. - Pick the regional host (EU, Japan, India) that matches your data residency.
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Machine-readable
/api/v1/tools/elevenlabs-tts.json·/api/v1/tools/soniox-tts.json- This page as Markdown,
/compare/elevenlabs-tts-vs-soniox-tts.md