PROVIDERLAST 30 DAYS
SpaceXAI voice AI models and benchmarks
SpaceXAI lists 2 STT and TTS models in Coval. Fastest dated mean latency over 30 days: STT: Grok STT at 223 ms TTFS, with 4.1% WER. TTS: Grok TTS at 362 ms TTFA, with 1.6% WER. Coval benchmarks hosted endpoints daily using a consistent evaluation methodology. Last measured .
SpaceXAI provides Grok-branded speech recognition and synthesis APIs.
- Measured models
- 2
- STTTTS
Overview
SpaceXAI spans both the input and output stages, with multilingual support and additional voice controls across the active Grok services.
Every model below is measured daily on the same fixed inputs and ranked against the full field, never blended into a company score.
Speech-to-Text
Full STT dashboardRanked on Time to Final Segment against 29 measured models.
- #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
- #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%
- #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
Text-to-Speech
Full TTS dashboardRanked on Time to First Audio against 32 measured models.
- #5Qwen3 TTS 1.7bDedicated inference. Shared endpoints serve many customers on the same infrastructure, while dedicated endpoints run on hardware reserved for a single customer.107 ms
How fast are SpaceXAI's STT and TTS models?
Grok STT measures mean 223 ms time to final segment (17th of 29) among STT systems. Last measured 2026-10-14. Grok TTS measures mean 362 ms time to first audio (24th of 32) among TTS systems. Last measured 2026-10-14.
How accurate are SpaceXAI's STT and TTS models?
Grok STT measures 4.1% word error rate (14th of 31) among STT systems. Last measured 2026-10-14. Grok TTS measures 1.6% word error rate (8th of 32) among TTS systems. Last measured 2026-10-14.
Which SpaceXAI model is fastest?
Its fastest dated STT result is Grok STT at mean 223 ms time to final segment (17th of 29) among STT systems, with 4.1% WER. Last measured 2026-10-14. Its fastest dated TTS result is Grok TTS at mean 362 ms time to first audio (24th of 32) among TTS systems, with 1.6% WER. Last measured 2026-10-14.
Limits of this comparison
Coval measures the company's first-party STT and TTS endpoints independently.
- The benchmark does not combine the endpoints into an agent or score every Grok voice and expressive capability.
Official resources
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.