MURF AITEXT-TO-SPEECH45,568 SAMPLES / 30 DAYSLAST RUN SEP 15, 2026, 06:30 UTC

official resource

Falcon 2 text-to-speech benchmarks

Falcon 2, hosted by Murf AI, measures mean 545 ms time to first audio (25th of 28) and 5.2% word error rate (15th of 28) among TTS systems. Results cover the last 30 days. Coval benchmarks hosted endpoints daily using a consistent evaluation methodology. Last measured .

Falcon 2 is Murf AI's text-to-speech model for streaming voice applications.

Time to First Audio#25 / 28
545ms
TTFA Network Roundtrip#5 / 28
110ms
TTFA Leading Silence#28 / 28
435ms
Word Error Rate#15 / 28
5.2%

Overview

Murf exposes Falcon through its developer synthesis API with multilingual voices and streaming output.

Falcon 2 is tested every day on a fixed set of text prompts, measuring how quickly audible speech starts and how intelligible the result is.

Technical specifications

Made by
Murf AI
Hosted by
Murf AI
Source
Official API
Licensing
Proprietary
Deployment
Cloud
Region
US
Features
Multilingual

How Falcon 2 ranks

Full TTS dashboard
Time to First Audio — every measured TTS modelMilliseconds · lower is better · 30-day averageEvery TTS model ranked on Time to First Audio, with Falcon 2 highlighted.
  1. #1vui66 ms
  2. #3TTS Flash 291 ms
  3. #4Qwen3 TTS 1.7b106 ms
  4. #6TTS 2181 ms
  5. #7Flash v2.5194 ms
  6. #8Default235 ms
  7. #9TTS Rt v2245 ms
  8. #10TTS RT v1245 ms
  9. #11Mist v3258 ms
  10. #12Sonic 3.5276 ms
  11. #14Aura 2308 ms
  12. #15Coda312 ms
  13. #16S2.1 Pro335 ms
  14. #19S1379 ms
  15. #20Grok TTS397 ms
  16. #21Sonic 3.6423 ms
  17. #22Simba 3.2452 ms
  18. #23Simba 3.0471 ms
  19. #24Chirp 3 HD535 ms
  20. #25Falcon 2545 ms
Show all 28 models
  1. #27S2.1 Pro Free965 ms
  2. #28GPT-4o mini TTS1013 ms
median of all models · 310 ms
TTS models over the last 30 days, ranked on Time to First Audio.
#ModelHostTTFAWERSamples
1vuiFluxions66 ms9,450
2Qwen3 TTS FastNari71 ms2,190
3TTS Flash 2Inworld AI91 ms11,401
4Qwen3 TTS 1.7bBaseten106 ms420
5Palabra TTS v1Palabra115 ms11,385
6TTS 2Inworld AI181 ms11,401
7Flash v2.5ElevenLabs194 ms9,118
8DefaultGradium235 ms9,127
9TTS Rt v2Soniox245 ms11,232
10TTS RT v1Soniox245 ms11,234
11Mist v3Rime258 ms11,387
12Sonic 3.5Cartesia276 ms11,400
13Phantom Z 3.4 conversationalDeepdub286 ms11,396
14Aura 2Deepgram308 ms11,386
15CodaRime312 ms11,392
16S2.1 ProFish Audio335 ms11,400
17Eleven v3 ConversationalElevenLabs348 ms11,389
18Lightning v3.1 ProSmallest362 ms11,401
19S1Fish Audio379 ms11,393
20Grok TTSxAI397 ms11,386
21Sonic 3.6Cartesia423 ms8,210
22Simba 3.2Speechify452 ms11,393
23Simba 3.0Speechify471 ms11,396
24Chirp 3 HDGoogle535 ms11,400
25Falcon 2Murf545 ms11,397
26Qwen3 TTS Flash RealtimeAlibaba754 ms11,226
27S2.1 Pro FreeFish Audio965 ms11,366
28GPT-4o mini TTSOpenAI1013 ms11,370
Under-sampled models are excluded; tied models share a place. Dotted WER values split into substitutions, deletions and insertions on hover or tap.

Highest relative placement: 15th of 28 on Word Error Rate.

Latency vs accuracy

Where the errors come from

WER compositionFalcon 2's Word Error Rate split by error type · 30-day averageFalcon 2's WER split into substitutions, deletions and insertions.
  • Falcon 25.2%
SubstitutionsDeletionsInsertions

Averages and tail latency

Averages hide slow outliers — these are the distributions behind each figure.

Falcon 2 latency distributionMilliseconds · shared axis across metrics · last 30 daysFalcon 2's latency percentiles per metric: p25–p75 band, p50 tick, whisker to p99.
  • Time to First Audiop50 561 ms · p99 886 ms
  • TTFA Network Roundtripp50 97 ms · p99 394 ms
  • TTFA Leading Silencep50 459 ms · p99 723 ms
band p25–p75 · tick p50 · whisker to p99 with p90 and p95 stops
Average and percentile values per metric, with the number of samples behind each row.
MetricAveragep25p50p75p90p95p99Samples
Time to First Audio545 ms485 ms561 ms604 ms655 ms702 ms886 ms11,397
TTFA Network Roundtrip110 ms91 ms97 ms114 ms135 ms147 ms394 ms11,397
TTFA Leading Silence435 ms379 ms459 ms496 ms537 ms573 ms723 ms11,397
Word Error Rate5.2%0.0%0.0%6.3%20.0%25.0%35.7%11,377

Last 30 days

Daily medians from the same measurement runs · gaps are days without qualifying runs.

Time to First Audio — daily p50Line p50 · band p25–p75 · UTC daysFalcon 2's daily median Time to First Audio over the last 30 days.
Falcon 2 · Sep 1: 559 msFalcon 2 · Sep 2: 559 msFalcon 2 · Sep 3: 577 msFalcon 2 · Sep 4: 552 msFalcon 2 · Sep 5: 559 msFalcon 2 · Sep 6: 593 msFalcon 2 · Sep 7: 568 msFalcon 2 · Sep 8: 556 msFalcon 2 · Sep 9: 567 msFalcon 2 · Sep 10: 577 msFalcon 2 · Sep 11: 554 msFalcon 2 · Sep 12: 564 msFalcon 2 · Sep 13: 549 msFalcon 2 · Sep 14: 572 msFalcon 2 · Sep 15: 546 ms
Word Error Rate — daily averageDaily average · UTC daysFalcon 2's daily Word Error Rate over the last 30 days.
Falcon 2 · Sep 1: 3.6%Falcon 2 · Sep 2: 5.1%Falcon 2 · Sep 3: 5.7%Falcon 2 · Sep 4: 4.8%Falcon 2 · Sep 5: 5.3%Falcon 2 · Sep 6: 5.7%Falcon 2 · Sep 7: 5.7%Falcon 2 · Sep 8: 5.0%Falcon 2 · Sep 9: 6.2%Falcon 2 · Sep 10: 5.3%Falcon 2 · Sep 11: 6.2%Falcon 2 · Sep 12: 4.8%Falcon 2 · Sep 13: 5.3%Falcon 2 · Sep 14: 4.9%Falcon 2 · Sep 15: 3.8%

Time to First Audio by dataset

Falcon 2 by test conditionMilliseconds · lower is better · best condition firstFalcon 2's Time to First Audio on each benchmark dataset.
Time to First Audio per dataset, with the number of samples behind each figure.
DatasetTTFASamples
Text prompts545 ms11,397

Strongest condition: Text prompts at 545 ms · weakest: Text prompts at 545 ms.

How fast is Falcon 2?

On Murf AI, Falcon 2 measures mean 545 ms time to first audio (25th of 28). Last measured 2026-09-15.

How accurate is Falcon 2?

On Murf AI, Falcon 2 measures 5.2% word error rate (15th of 28). Last measured 2026-09-15.

Who hosts Falcon 2?

Falcon 2 is created by Murf AI and served by Murf AI. Coval measures each hosted endpoint separately.

Limits of this comparison

Coval uses fixed text so its first-audio timing is not confounded by shorter or easier prompts.

  • The benchmark does not rate Murf's voice catalogue, style controls or editing workflow.

Official sources

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.

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