RIMETEXT-TO-SPEECH51,352 SAMPLES / 30 DAYSLAST RUN AUG 28, 2026, 21:30 UTC
Coda text-to-speech benchmarks
Coda is a Rime streaming text-to-speech model.
- Time to First Audio#12 / 30
- 313ms
- TTFA Network Roundtrip#13 / 28
- 196ms
- TTFA Leading Silence#17 / 28
- 121ms
- Word Error Rate#19 / 30
- 5.2%
Overview
Rime provides Coda through its real-time synthesis API and offers multilingual and on-premises options.
Coda is tested every day on a fixed set of text prompts, measuring how quickly audible speech starts and how intelligible the result is.
How Coda ranks
Full TTS dashboardShow all 30 modelsShow fewer
- #15Default384 ms
- #6Default4.6%
Show all 30 modelsShow fewer
| # | Model | Host | TTFA | WER | Samples |
|---|---|---|---|---|---|
| 1 | Palabra TTS v1 | Palabra | 116 ms | 5.9% | 14,396 |
| 2 | vui | Fluxions | 124 ms | 8,624 | |
| 3 | TTS Flash 2 | Inworld AI | 128 ms | 8,719 | |
| 4 | TTS 2 | Inworld AI | 176 ms | 4.8% | 14,529 |
| 5 | Blizzard | Lmnt | 235 ms | 7.4% | 14,117 |
| 6 | Neural | Azure | 236 ms | 4.3% | 3,350 |
| 7 | Mist v3 | Rime | 256 ms | 6.3% | 14,524 |
| 8 | TTS Rt v2 | Soniox | 262 ms | 8,849 | |
| 9 | Sonic 3.5 | Cartesia | 274 ms | 6.1% | 14,513 |
| 10 | TTS RT v1 | Soniox | 275 ms | 3.7% | 14,528 |
| 11 | Dragon HD Latest | Azure | 310 ms | 5.1% | 3,350 |
| 12 | Coda | Rime | 313 ms | 5.2% | 14,523 |
| 13 | Aura 2 | Deepgram | 328 ms | 5.3% | 14,501 |
| 14 | S2.1 Pro | Fish Audio | 374 ms | 10,222 | |
| 15 | Default | Gradium | 384 ms | 4.6% | 14,002 |
| 16 | Speech 2.8 Turbo | MiniMax | 411 ms | 4.8% | 1,997 |
| 17 | Eleven v3 Conversational | ElevenLabs | 412 ms | 6,750 | |
| 18 | Grok TTS | xAI | 420 ms | 4.7% | 14,524 |
| 19 | S1 | Fish Audio | 434 ms | 4.9% | 10,236 |
| 20 | Flash v2.5 | ElevenLabs | 455 ms | 6.7% | 9,259 |
| 21 | Speech 2.8 HD | MiniMax | 460 ms | 1,995 | |
| 22 | Sonic 3.6 | Cartesia | 466 ms | 560 | |
| 23 | Simba 3.2 | Speechify | 484 ms | 4.7% | 14,525 |
| 24 | Chirp 3 HD | 512 ms | 5.2% | 14,530 | |
| 25 | Simba 3.0 | Speechify | 526 ms | 5.3% | 14,526 |
| 26 | Falcon 2 | Murf | 549 ms | 10,229 | |
| 27 | Lightning v3.1 Pro | Smallest | 586 ms | 4.4% | 14,515 |
| 28 | Qwen3 TTS Flash Realtime | Alibaba | 645 ms | 8.8% | 14,530 |
| 29 | S2.1 Pro Free | Fish Audio | 806 ms | 4.7% | 14,464 |
| 30 | GPT-4o mini TTS | OpenAI | 1075 ms | 4.8% | 14,517 |
Latency vs accuracy
Averages and tail latency
Averages hide slow outliers — these are the distributions behind each figure.
- Time to First Audiop50 310 ms · p99 436 ms
- TTFA Network Roundtripp50 185 ms · p99 307 ms
- TTFA Leading Silencep50 126 ms · p99 158 ms
- Codap50 0.0% · p99 35.7%
| Metric | Average | p25 | p50 | p75 | p90 | p95 | p99 | Samples |
|---|---|---|---|---|---|---|---|---|
| Time to First Audio | 313 ms | 288 ms | 310 ms | 330 ms | 380 ms | 402 ms | 436 ms | 14,523 |
| TTFA Network Roundtrip | 196 ms | 181 ms | 185 ms | 200 ms | 260 ms | 274 ms | 307 ms | 11,153 |
| TTFA Leading Silence | 121 ms | 112 ms | 126 ms | 136 ms | 144 ms | 148 ms | 158 ms | 11,153 |
| Word Error Rate | 5.2% | 0.0% | 0.0% | 9.5% | 20.0% | 25.0% | 35.7% | 14,523 |
Last 30 days
Daily medians from the same measurement runs · gaps are days without qualifying runs.
Time to First Audio by dataset
- Text prompts313 ms
| Dataset | TTFA | Samples |
|---|---|---|
| Text prompts | 313 ms | 14,523 |
Strongest condition: Text prompts at 313 ms · weakest: Text prompts at 313 ms.
Limits of this comparison
Coda remains separate from Mist v3 so two Rime generations can be compared on identical prompts without treating the provider as one model.
- Coval does not score subjective naturalness or every Rime voice; it focuses on audible startup and intelligibility.
Official sources
- Rime TTS documentation (documentation)
Results are re-measured daily using fixed datasets and reported over a rolling 30-day window. Same datasets, prompts and metric definitions for every model, measured by Coval’s open-source runner. Full methodology on the overview.
Evaluate your own voice agent
Use Coval to test your production configuration, prompts and calls—not only the public benchmark endpoints.