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Fewer false interruptions vs pipeline approaches

We haven't written a description for this benchmark yet; see the card notes below for how each maker ran it.

Your workloadRAG over docs · 12K in · 600 out · 50K requests/mo · 30% cached
  1. 1Deepgram Flux · Deepgram
    30.0%

“Best value”: no other model here reports a higher score at a lower cost for your workload. Scores are self-reported by each maker with different settings, so treat close calls as ties.

How each maker reported it

  • Deepgram Flux launch post

    Deepgram's own figures; competitor systems are not named and exact configurations are not given. Eager end-of-turn (eager_eot_threshold 0.3–0.5) fires 150–250 ms earlier at the cost of 50–70% more LLM calls. WER is described as nearly identical to Nova-3 streaming, with no figure. The Flux quickstart separately cites about 260 ms end-of-turn detection. The Flux Multilingual post (29 Apr 2026) gives no benchmark numbers.

Only each model's own maker's number is shown; scores a maker reports for rival models are left out.