2 models compared on the same benchmark — accuracy, latency, price, language coverage and capabilities. Whisper Large V3 leads on raw accuracy; Azure Speech is fastest; Azure Speech covers the most languages; Whisper Large V3 is cheapest.
Verdict · who wins what
Most accurate
Whisper Large V3
14.4% WER
Groq
Fastest
Azure Speech
0.3× realtime
Microsoft Azure
Most languages
Azure Speech
19 languages
Microsoft Azure
Cheapest
Whisper Large V3
$0.0019/min
Groq
Comparing
2 models · same benchmark
1
Azure Speech
Microsoft Azure
Azure default STT model — 140+ languages, diarization, word timestamps
2
Whisper Large V3
Groq
OpenAI Whisper large-v3 served on Groq's LPU hardware — top Whisper accuracy at Groq speed and cost, with word-level timestamps and automatic language detection.
Azure Speech
Whisper Large V3
field · 32 models
lower-left is better
general
legal
medical
noisy
technical
uk
us
Latency p99
2.0s
3.6s
Final drain
0ms
—
Real-time factor
1.01×
—
Flicker
13.2%
—
Cadence
1.7/s
—
$11.16
1,000 hours
$360.00
$111.60
No
Auto-detect language
No
Yes
Live / streaming
Yes
No
Custom vocabulary
No
No
Max file size
1 GB
100 MB
Max duration
4 h
No limit
Compliance
—
Is Azure Speech or Whisper Large V3 more accurate?
Whisper Large V3 is more accurate, with a 14.4% word error rate versus 15.3% for Azure Speech, on our standardized benchmark.
Which is cheaper, Azure Speech or Whisper Large V3?
Whisper Large V3 is cheaper at $0.0019/min versus $0.0060/min for Azure Speech.
Should you choose Azure Speech or Whisper Large V3?
Choose Azure Speech for speed and language coverage; choose Whisper Large V3 for accuracy and lower cost.
