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 81 ms time to final segment (5th of 28) among STT systems, with 11.2% 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 28 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
- #6Qwen3 ASR 1.7bDedicated inference. Shared endpoints serve many customers on the same infrastructure, while dedicated endpoints run on hardware reserved for a single customer.4.1%
- #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.912 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.931 ms
| Model | Host | TTFS | Rank |
|---|---|---|---|
| Whisper Large v3 | Together AI | 296 ms | 19th of 28 |
| Nemotron 3.5 ASR Streaming | Together AI | — | — |
| Parakeet TDT 0.6B v3 | Together AI | 81 ms | 5th of 28 |
How fast are Together AI's STT models?
Parakeet TDT 0.6B v3 measures mean 81 ms time to final segment (5th of 28) among STT systems. Last measured 2026-09-15. Whisper Large v3 measures mean 296 ms time to final segment (19th of 28) among STT systems. Last measured 2026-09-15.
How accurate are Together AI's STT models?
Whisper Large v3 measures 8.5% word error rate (26th of 30) among STT systems. Last measured 2026-09-15. Parakeet TDT 0.6B v3 measures 11.2% word error rate (29th of 30) among STT systems. Last measured 2026-09-15. Nemotron 3.5 ASR Streaming measures 15.6% word error rate (30th of 30) among STT systems. Last measured 2026-09-15.
Which Together AI model is fastest?
Its fastest dated STT result is Parakeet TDT 0.6B v3 at mean 81 ms time to final segment (5th of 28) among STT systems, with 11.2% WER. Last measured 2026-09-15.
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.