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Together AI models lead speech-to-text speed benchmarks

Together AI's speech-to-text models have achieved the top two positions on the Artificial Analysis leaderboard for transcription speed. The NVIDIA Parakeet TDT 0.6B V3 model, running on Together AI, is currently ranked first, processing 303 seconds of audio for every second of computation. AI

IMPACT Sets new SOTA on transcription speed benchmarks, potentially improving efficiency for voice AI applications.

RANK_REASON The cluster reports on benchmark results for speech-to-text models, indicating a research milestone. [lever_c_demoted from research: ic=1 ai=1.0]

Read on X — Together (inference / OSS) →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Together AI models lead speech-to-text speed benchmarks

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0 / 100
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Tool
The cluster reports on benchmark results for speech-to-text models, indicating a research milestone. [lever_c_demoted from research: ic=1 ai=1.0]
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
model release, other
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AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
118 days old
Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

Full methodology in our editorial standards.

COVERAGE [1]

  1. X — Together (inference / OSS) TIER_1 English(EN) · togethercompute ·

    Together AI STT models now hold the top two spots for transcription speed on the @ArtificialAnlys Speech to Text leaderboard.

    Together AI STT models now hold the top two spots for transcription speed on the @ArtificialAnlys Speech to Text leaderboard. NVIDIA Parakeet TDT 0.6B V3 on Together AI ranks #1, transcribing 303 seconds of audio per second of processing time. → Fastest STT model measured by ht…