2 models compared on the same benchmark — accuracy, latency, price, language coverage and capabilities. Whisper Large V3 Turbo leads on raw accuracy; Nova-2 is fastest; Nova-2 covers the most languages; Whisper Large V3 Turbo is cheapest.
Verdict · who wins what
Most accurate
Whisper Large V3 Turbo
18.4% WER
Groq
Fastest
Nova-2
0.1× realtime
Deepgram
Most languages
Nova-2
33 languages
Deepgram
Cheapest
Whisper Large V3 Turbo
$0.0007/min
Groq
Comparing
2 models · same benchmark
1
Nova-2
Deepgram
Deepgram's Nova-2 speech recognition
2
Whisper Large V3 Turbo
Groq
OpenAI Whisper large-v3-turbo served on Groq's LPU hardware — very fast, very low cost batch transcription with word-level timestamps and automatic language detection.
30-day benchmark average
overall WER vs price
Nova-2
Whisper Large V3 Turbo
field · 29 models
lower-left is better
WER · lower is better
WER · English
p50 → p99
Streaming benchmark averages
Rolling 30 days
billed per second
Feature support
Languages · formats · regions
general
legal
medical
noisy
technical
uk
us
Latency p99
1.6s
2.6s
$3.96
1,000 hours
$349.20
$39.60
No
Auto-detect language
Yes
Yes
Live / streaming
Yes
No
Custom vocabulary
Yes
No
Compliance
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Is Nova-2 or Whisper Large V3 Turbo more accurate?
Whisper Large V3 Turbo is more accurate, with a 18.4% word error rate versus 31.4% for Nova-2, on our standardized benchmark.
Which is cheaper, Nova-2 or Whisper Large V3 Turbo?
Whisper Large V3 Turbo is cheaper at $0.0007/min versus $0.0058/min for Nova-2.
Should you choose Nova-2 or Whisper Large V3 Turbo?
Choose Nova-2 for speed and language coverage; choose Whisper Large V3 Turbo for accuracy and lower cost.
