SPACEXAISPEECH-TO-TEXT106,305 SAMPLES / 30 DAYSLAST RUN OCT 14, 2026, 06:00 UTC
Grok STT speech-to-text benchmarks
Grok STT, hosted by SpaceXAI, measures mean 223 ms time to final segment (17th of 29) and 4.1% word error rate (14th of 31) among STT systems. Results cover the last 30 days. Coval benchmarks hosted endpoints daily using a consistent evaluation methodology. Last measured .
Grok STT is SpaceXAI's managed streaming speech-to-text offering.
- Time to Final Segment#17 / 29
- 223ms
- Word Error Rate#14 / 31
- 4.1%
Overview
The tested endpoint supports multilingual transcription, diarization and keyterm biasing.
Grok STT 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.
How Grok STT ranks
Full STT dashboard- #1Qwen3 ASR 1.7bDedicated inference. Shared endpoints serve many customers on the same infrastructure, while dedicated endpoints run on hardware reserved for a single customer.39 ms
- #11Whisper Large v3via BasetenDedicated inference. Shared endpoints serve many customers on the same infrastructure, while dedicated endpoints run on hardware reserved for a single customer.131 ms
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- #5Qwen3 ASR 1.7bDedicated inference. Shared endpoints serve many customers on the same infrastructure, while dedicated endpoints run on hardware reserved for a single customer.2.9%
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- #16Whisper Large v3via BasetenDedicated inference. Shared endpoints serve many customers on the same infrastructure, while dedicated endpoints run on hardware reserved for a single customer.4.5%
- #1Whisper Large v3via BasetenDedicated inference. Shared endpoints serve many customers on the same infrastructure, while dedicated endpoints run on hardware reserved for a single customer.924 ms
- #2Qwen3 ASR 1.7bDedicated inference. Shared endpoints serve many customers on the same infrastructure, while dedicated endpoints run on hardware reserved for a single customer.946 ms
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| # | Model | Host | TTFS | WER | TTFT | Samples |
|---|---|---|---|---|---|---|
| 1 | Qwen3 ASR 1.7b | Baseten | 39 ms | 946 ms | 13,669 | |
| 2 | STT RT v5 | Soniox | 45 ms | 1518 ms | 23,533 | |
| 3 | Qwen3 ASR Fast | Nari Labs | 47 ms | 1752 ms | 26,652 | |
| 4 | STT 1 | Inworld AI | 66 ms | 1212 ms | 24,749 | |
| 5 | Nova 3 | Deepgram | 85 ms | 1431 ms | 26,002 | |
| 6 | Nova 2 | Deepgram | 87 ms | 1417 ms | 25,960 | |
| 7 | Parakeet TDT 0.6B v3 | Together AI | 97 ms | 1228 ms | 26,460 | |
| 8 | Flux Multilingual | Deepgram | 98 ms | 1165 ms | 26,007 | |
| 9 | Flux | Deepgram | 99 ms | 1091 ms | 26,005 | |
| 10 | Scribe v2 Realtime | ElevenLabs | 122 ms | 2158 ms | 26,640 | |
| 11 | Whisper Large v3 | Baseten | 131 ms | 924 ms | 13,663 | |
| 12 | Universal 3.6 Pro | AssemblyAI | 135 ms | 1071 ms | 24,185 | |
| 13 | Ink 2 | Cartesia | 148 ms | 1966 ms | 26,652 | |
| 14 | Universal 3.5 Pro | AssemblyAI | 168 ms | 1025 ms | 26,654 | |
| 15 | Whisper Large v3 | Together AI | 200 ms | 1261 ms | 26,445 | |
| 16 | Pulse | Smallest | 205 ms | 1976 ms | 26,654 | |
| 17 | Grok STT | SpaceXAI | 223 ms | — | 26,576 | |
| 18 | resonant-1 | Reson8 | 252 ms | — | 26,653 | |
| 19 | Default | Gradium | 258 ms | 1986 ms | 26,632 | |
| 20 | Linden 1 | Speechmatics | 271 ms | 1537 ms | 26,595 | |
| 21 | Gemini 3.5 Transcribe Live | Gemini | 317 ms | 1609 ms | 26,567 | |
| 22 | Daytona STT | Guava | 399 ms | 5695 ms | 5,225 | |
| 23 | Voxtral Mini Transcribe Realtime 2602 | Mistral | 410 ms | 1851 ms | 26,200 | |
| 24 | GPT Realtime Whisper | OpenAI | 599 ms | 1824 ms | 26,622 | |
| 25 | Solaria 1 | Gladia | 636 ms | 1781 ms | 26,198 | |
| 26 | GPT-4o mini Transcribe | OpenAI | 708 ms | — | 26,621 | |
| 27 | Chirp 3 | 768 ms | 5956 ms | 26,638 | ||
| 28 | GPT-4o Transcribe | OpenAI | 783 ms | — | 26,625 | |
| 29 | Chirp 2 | 908 ms | 6098 ms | 26,650 | ||
| — | Nemotron 3.5 ASR Streaming | Together AI | — | 1544 ms | 26,542 | |
| — | Universal Streaming | AssemblyAI | — | 1508 ms | 26,624 |
Highest relative placement: 14th of 31 on Word Error Rate.
Latency vs accuracy
Where the errors come from
- Grok STT4.1%
Averages and tail latency
Averages hide slow outliers — these are the distributions behind each figure.
- Time to Final Segmentp50 192 ms · Max 13563 ms
- Grok STTp50 0.0% · Max 1220.0%
| Metric | Average | p25 | p50 | p75 | p90 | p95 | Max | Samples |
|---|---|---|---|---|---|---|---|---|
| Time to Final Segment | 223 ms | 155 ms | 192 ms | 253 ms | 337 ms | 405 ms | 13563 ms | 26,576 |
| Word Error Rate | 4.1% | 0.0% | 0.0% | 6.3% | 13.6% | 20.0% | 1220.0% | 26,577 |
Last 30 days
Daily medians from the same measurement runs · gaps are days without qualifying runs.
Time to Final Segment by dataset
- WildASR phone codec195 ms
- WildASR accents208 ms
- WildASR noise gaps217 ms
- WildASR clean226 ms
- PipeCat (production)226 ms
- WildASR far-field226 ms
- WildASR clipping236 ms
| Dataset | TTFS | Samples |
|---|---|---|
| ProductionPipeCat | 226 ms | 13,984 |
| AccentsWildASR | 208 ms | 1,399 |
| CleanWildASR | 226 ms | 5,593 |
| ClippingWildASR | 236 ms | 1,399 |
| Far-fieldWildASR | 226 ms | 1,402 |
| Noise gapsWildASR | 217 ms | 1,397 |
| Phone codecWildASR | 195 ms | 1,402 |
Strongest condition: WildASR phone codec at 195 ms · weakest: WildASR clipping at 236 ms.
How fast is Grok STT?
On SpaceXAI, Grok STT measures mean 223 ms time to final segment (17th of 29). Last measured 2026-10-14.
How accurate is Grok STT?
On SpaceXAI, Grok STT measures 4.1% word error rate (14th of 31). Last measured 2026-10-14.
Who hosts Grok STT?
Grok STT is created by SpaceXAI and served by SpaceXAI. Coval measures each hosted endpoint separately.
Limits of this comparison
Coval measures both the text it returns and how quickly its streaming results arrive through SpaceXAI's official API.
- The service is evolving; SpaceXAI's official documentation remains the source for current languages, limits and feature availability.
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.
Evaluate your own voice agent
Use Coval to test your production configuration, prompts and calls—not only the public benchmark endpoints.