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Median end-of-turn latency
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
- ModelScoreYour cost / mo
- 1Universal-3.6 Pro Realtime · AssemblyAI537 ms
“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
- Universal-3.6 Pro Realtime launch post (AssemblyAI internal benchmark)
AssemblyAI's own English voice-agent benchmark: 12,460 scripted caller scenarios, real speakers, three noise conditions; competitors via public streaming APIs at default settings. Code-switching: mean of five English pairs over 20 public sets; the Nova-3 value is Nova-3 Multi. models.md lists normalized WER as 5.13% vs 5.19% in the post.
Only each model's own maker's number is shown; scores a maker reports for rival models are left out.