2 models compared on the same benchmark — accuracy, latency, price, language coverage and capabilities. Chirp 3 leads on raw accuracy; Chirp 3 is fastest; Chirp 3 covers the most languages; Nova-2 is cheapest.
Verdict · who wins what
Most accurate
Chirp 3
14.1% WER
Google Cloud
Fastest
Chirp 3
0.3× realtime
Google Cloud
Most languages
Chirp 3
72 languages
Google Cloud
Cheapest
Nova-2
$0.0058/min
Deepgram
Comparing
2 models · same benchmark
1
Nova-2
Deepgram
Deepgram's Nova-2 speech recognition
2
Chirp 3
Google Cloud
Google's latest generative ASR foundation model — 85+ languages
30-day benchmark average
overall WER vs price
Chirp 3
Nova-2
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
10.3s
$34.92
$64.08
1,000 hours
$349.20
$640.80
Yes
Auto-detect language
Yes
Yes
Live / streaming
Yes
No
Custom vocabulary
Yes
Yes
Compliance
Is Nova-2 or Chirp 3 more accurate?
Chirp 3 is more accurate, with a 14.1% word error rate versus 31.4% for Nova-2, on our standardized benchmark.
Which is cheaper, Nova-2 or Chirp 3?
Nova-2 is cheaper at $0.0058/min versus $0.0107/min for Chirp 3.
Should you choose Nova-2 or Chirp 3?
Choose Nova-2 for lower cost; choose Chirp 3 for accuracy, speed, and language coverage.
