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
14.3% 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.
Nova-2
Whisper Large V3 Turbo
field · 33 models
lower-left is better
general
legal
medical
noisy
technical
uk
us
Latency p99
3.7s
3.4s
Final drain
192ms
—
Real-time factor
1.02×
—
Flicker
10.5%
—
Cadence
0.8/s
—
$3.96
1,000 hours
$349.20
$39.60
No
Auto-detect language
Yes
Yes
Live / streaming
Yes
No
Custom vocabulary
Yes
No
Max file size
2 GB
100 MB
Max duration
No limit
No limit
Compliance
—
Is Nova-2 or Whisper Large V3 Turbo more accurate?
Whisper Large V3 Turbo is more accurate, with a 14.3% word error rate versus 16.5% 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.
