PROVIDERLAST 30 DAYS
Together AI voice AI models and benchmarks
Together AI (together.ai, TogetherAI) lists 3 STT models in Coval. Its fastest dated STT result is Parakeet TDT 0.6B v3 at mean 97 ms time to final segment (7th of 29) among STT systems, with 11.1% WER. Results cover the last 30 days. Last measured .
Together AI hosts the measured endpoints for open-weight speech recognition models created by NVIDIA and OpenAI.
- Measured models
- 3
- STT
Overview
Model accuracy depends on the weights and inference configuration, while latency also reflects Together's serving runtime, region and capacity.
Every model below is measured daily on the same fixed inputs and ranked against the full field, never blended into a company score.
Model lineup
- Speech-to-Text
- serves Whisper Large v3, Nemotron 3.5 ASR Streaming, Parakeet TDT 0.6B v3
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
| Model | Host | TTFS | Rank |
|---|---|---|---|
| Whisper Large v3 | Together AI | 198 ms | 15th of 29 |
| Nemotron 3.5 ASR Streaming | Together AI | — | — |
| Parakeet TDT 0.6B v3 | Together AI | 97 ms | 7th of 29 |
How fast are Together AI's STT models?
Parakeet TDT 0.6B v3 measures mean 97 ms time to final segment (7th of 29) among STT systems. Last measured 2026-10-14. Whisper Large v3 measures mean 198 ms time to final segment (15th of 29) among STT systems. Last measured 2026-10-14.
How accurate are Together AI's STT models?
Whisper Large v3 measures 7.4% word error rate (27th of 31) among STT systems. Last measured 2026-10-14. Parakeet TDT 0.6B v3 measures 11.1% word error rate (30th of 31) among STT systems. Last measured 2026-10-14. Nemotron 3.5 ASR Streaming measures 13.2% word error rate (31st of 31) among STT systems. Last measured 2026-10-14.
Which Together AI model is fastest?
Its fastest dated STT result is Parakeet TDT 0.6B v3 at mean 97 ms time to final segment (7th of 29) among STT systems, with 11.1% WER. Last measured 2026-10-14.
Limits of this comparison
- The displayed latency cannot be generalized to self-hosting, NVIDIA NIM or another provider serving the same model.
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.