Voice AI BenchmarksBy

NVIDIASPEECH-TO-TEXT90,987 SAMPLES / 30 DAYSLAST RUN SEP 15, 2026, 09:00 UTC

official resource

Nemotron 3.5 ASR Streaming speech-to-text benchmarks

Nemotron 3.5 ASR Streaming, hosted by Together AI (together.ai, TogetherAI), measures 15.7% word error rate (30th of 30) among STT systems. Results cover the last 30 days. Coval benchmarks hosted endpoints daily using a consistent evaluation methodology. Last measured .

Nemotron 3.5 ASR Streaming 0.6B is an NVIDIA streaming recognizer with downloadable weights.

Word Error Rate#30 / 30
15.7%
Time to First Token#15 / 26
1548ms

Overview

The model card identifies a 0.6-billion-parameter streaming ASR release. NVIDIA created the model, and Together hosts the measured endpoint.

Nemotron 3.5 ASR Streaming is tested every day on fixed public audio — clean, accented, noisy, reverberant, far-field, clipped and phone-codec speech — for transcription accuracy and streaming latency.

Technical specifications

Made by
NVIDIA
Hosted by
Together AI
Source
Shared inference
Licensing
Open-weight
Deployment
Cloud
Region
US
Features
Multilingual

How Nemotron 3.5 ASR Streaming ranks

Full STT dashboard
Time to Final Segment — every measured STT modelMilliseconds · lower is better · 30-day averageEvery STT model ranked on Time to Final Segment, with Nemotron 3.5 ASR Streaming highlighted.
  1. #1Qwen3 ASR 1.7b39 ms
  2. #2Qwen3 ASR Fast46 ms
  3. #3STT RT v557 ms
  4. #4STT 165 ms
  5. #5Parakeet TDT 0.6B v381 ms
  6. #6Nova 389 ms
  7. #7Nova 292 ms
  8. #8Flux Multilingual98 ms
  9. #9Flux99 ms
  10. #10Ink 2122 ms
  11. #11Whisper Large v3via Baseten125 ms
  12. #12Scribe v2 Realtime133 ms
Show all 28 models
  1. #13Universal 3.5 Pro173 ms
  2. #14Grok STT207 ms
  3. #15Defaultvia Speechmatics209 ms
  4. #16Pulse212 ms
  5. #17Defaultvia Gradium246 ms
  6. #18resonant-1264 ms
  7. #19Whisper Large v3via Together AI295 ms
  8. #20Enhanced299 ms
  9. #21Gemini 3.5 Transcribe Live305 ms
  10. #22Voxtral Mini Transcribe Realtime 2602401 ms
  11. #23GPT Realtime Whisper551 ms
  12. #24GPT-4o mini Transcribe690 ms
  13. #25GPT-4o Transcribe754 ms
  14. #26Chirp 3776 ms
  15. #27Solaria 1805 ms
  16. #28Chirp 2873 ms
median of all models · 208 ms
STT models over the last 30 days, ranked on Time to Final Segment.
#ModelHostTTFSWERTTFTSamples
1Qwen3 ASR 1.7bBaseten39 ms931 ms1,256
2Qwen3 ASR FastNari46 ms1748 ms4,451
3STT RT v5Soniox57 ms1529 ms22,468
4STT 1Inworld AI65 ms1400 ms22,836
5Parakeet TDT 0.6B v3Together AI81 ms1215 ms22,488
6Nova 3Deepgram89 ms1419 ms22,855
7Nova 2Deepgram92 ms1420 ms22,733
8Flux MultilingualDeepgram98 ms1164 ms12,251
9FluxDeepgram99 ms1076 ms12,243
10Ink 2Cartesia122 ms1827 ms22,862
11Whisper Large v3Baseten125 ms912 ms1,252
12Scribe v2 RealtimeElevenLabs133 ms2175 ms22,866
13Universal 3.5 ProAssemblyAI173 ms1041 ms20,253
14Grok STTxAI207 ms—22,853
15DefaultSpeechmatics209 ms1428 ms22,876
16PulseSmallest212 ms2011 ms22,856
17DefaultGradium246 ms1980 ms22,839
18resonant-1Reson8264 ms—22,860
19Whisper Large v3Together AI295 ms1338 ms22,744
20EnhancedSpeechmatics299 ms1492 ms22,876
21Gemini 3.5 Transcribe LiveGemini305 ms1679 ms16,403
22Voxtral Mini Transcribe Realtime 2602Mistral401 ms1851 ms22,583
23GPT Realtime WhisperOpenAI551 ms1814 ms22,812
24GPT-4o mini TranscribeOpenAI690 ms—22,830
25GPT-4o TranscribeOpenAI754 ms—22,831
26Chirp 3Google776 ms5974 ms22,875
27Solaria 1Gladia805 ms1804 ms22,439
28Chirp 2Google873 ms6071 ms22,789
—Nemotron 3.5 ASR StreamingTogether AI—1548 ms22,747
—Universal StreamingAssemblyAI—1514 ms20,235
Under-sampled models are excluded; tied models share a place. Dotted WER values split into substitutions, deletions and insertions on hover or tap.

Nemotron 3.5 ASR Streaming hasn't logged enough qualifying samples in the last 30 days to hold a rank on Time to Final Segment.

Where the errors come from

WER compositionNemotron 3.5 ASR Streaming's Word Error Rate split by error type · 30-day averageNemotron 3.5 ASR Streaming's WER split into substitutions, deletions and insertions.
  • Nemotron 3.5 ASR Streaming15.7%
SubstitutionsDeletionsInsertions

Averages and tail latency

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

Nemotron 3.5 ASR Streaming latency distributionMilliseconds · shared axis across metrics · last 30 daysNemotron 3.5 ASR Streaming's latency percentiles per metric: p25–p75 band, p50 tick, whisker to p99.
  • Time to First Tokenp50 1474 ms · p99 3952 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
Word Error Rate15.7%2.9%10.0%21.7%37.5%50.0%94.4%22,746
Time to First Token1548 ms1230 ms1474 ms1760 ms2158 ms2464 ms3952 ms22,747

How fast is Nemotron 3.5 ASR Streaming?

On Together AI, Nemotron 3.5 ASR Streaming measures mean 1548 ms time to first token (15th of 26). Last measured 2026-09-15.

How accurate is Nemotron 3.5 ASR Streaming?

On Together AI, Nemotron 3.5 ASR Streaming measures 15.7% word error rate (30th of 30). Last measured 2026-09-15.

Who hosts Nemotron 3.5 ASR Streaming?

Nemotron 3.5 ASR Streaming is created by NVIDIA and served by Together AI. Coval measures each hosted endpoint separately.

Limits of this comparison

Coval measures it through Together, so accuracy describes the selected weights while latency also reflects Together's serving path.

  • Different runtimes, accelerators, batching policies or regions can materially change latency for the same open-weight model.

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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