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WER, hard prompts
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
- 1Deepgram Flux TTS · Deepgram3.4%
“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 TTS launch post
Deepgram's own read-aloud WER test; the post gives competitor results only as "roughly half of ElevenLabs and a third of Cartesia" and "beats the next-best model by 47%" on hard prompts, without naming exact models or values.
Only each model's own maker's number is shown; scores a maker reports for rival models are left out.