OpenTranscription
OpenTranscription
RankerModelsPlayground
OpenTranscription
OpenTranscription

One API to every speech-to-text model worth using. Compare them on your audio, route to the best one, pay per second.

Platform status

Product

RankerModelsTranscriptionsPlaygroundBlog

Developers

DocumentationReliabilityAPI VersioningStatus

Legal

Privacy PolicyTerms of ServiceSupport
© 2026 OpenTranscription
Back to Models

Amazon Transcribe vs Whisper Large V3

2 models compared on the same benchmark — accuracy, latency, price, language coverage and capabilities. Amazon Transcribe leads on raw accuracy; Amazon Transcribe is fastest; Amazon Transcribe covers the most languages; Whisper Large V3 is cheapest.

Open both in playground

Verdict · who wins what

Most accurate

Amazon Transcribe

13.0% WER

Amazon Web Services

Fastest

Amazon Transcribe

0.4× realtime

Amazon Web Services

Most languages

Amazon Transcribe

77 languages

Amazon Web Services

Cheapest

Whisper Large V3

$0.0019/min

Groq

Comparing

2 models · same benchmark

1

Batch

Amazon Transcribe

Amazon Web Services

$0.0060/min
#8 · 51.5

AWS foundation model-powered ASR — 100+ languages

Use This ModelDetails →

2

Batch

Whisper Large V3

Groq

$0.0019/min
#11 · 79.9

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.

Use This ModelDetails →

Overview

30-day benchmark average

Overall score

0–100

51.5

79.9

Accuracy rank

of 35

#8

#11

Word error rate

WER

13.0%

14.4%

Character error rate

CER

9.2%

11.2%

Match error rate

MER

12.1%

13.3%

Word info lost

WIL

16.7%

18.2%

Languages

77

12

Cost vs. accuracy

overall WER vs price

Amazon Transcribe

Whisper Large V3

field · 33 models

lower-left is better

Accuracy by category

WER · lower is better

code_switching

55.8%
68.5%

conversational

6.9%
10.9%

finance

6.3%

Accuracy by accent

WER · English

african

24.6%
26.2%

australian

6.2%
12.3%

indian

3.2%

Speed & latency

p50 → p99

Processing speed

× realtime

0.4×

0.0×

Latency p50

12.4s

3.1s

Latency p90

13.0s

3.6s

Realtime / streaming

Streaming benchmark averages

Realtime rank

—

—

Realtime score

0–100

—

—

Time to first word

—

—

Final drain

—

—

Real-time factor

—

—

Flicker

—

—

Cadence

—

—

Reliability

Rolling 30 days

Uptime

100.00%

—

Error rate

0.00%

—

Pricing

billed per second

Rate

per minute

$0.0060

$0.0019

Billing granularity

per 1s

per 1s

1 hour of audio

$0.36

$0.11

100 hours

$36.00

Capabilities

Feature support

Speaker diarization

Yes

No

Word-level timestamps

Yes

Yes

Code-switching

Yes

Coverage & deployment

Languages · formats · regions

Languages

77

12

Mode

Batch

Batch

Region

United States

United States

Audio formats

6.4%

general

6.6%
8.1%

legal

6.2%
2.7%

medical

3.7%
2.8%

noisy

41.7%
36.3%

technical

3.2%
5.3%
19.1%

uk

0.0%
6.0%

us

1.9%
5.7%

Latency p99

13.0s

3.6s

$11.16

1,000 hours

$360.00

$111.60

No

Auto-detect language

Yes

Yes

Live / streaming

No

No

Custom vocabulary

No

No

mp3
wav
flac
m4a
ogg
webm
amr
mp3
wav
flac
m4a
ogg
webm

Max file size

2 GB

100 MB

Max duration

8 h

No limit

Compliance

HIPAA
SOC2
GDPR

—

Frequently asked questions

Is Amazon Transcribe or Whisper Large V3 more accurate?

Amazon Transcribe is more accurate, with a 13.0% word error rate versus 14.4% for Whisper Large V3, on our standardized benchmark.

Which is cheaper, Amazon Transcribe or Whisper Large V3?

Whisper Large V3 is cheaper at $0.0019/min versus $0.0060/min for Amazon Transcribe.

Should you choose Amazon Transcribe or Whisper Large V3?

Choose Amazon Transcribe for accuracy, speed, and language coverage; choose Whisper Large V3 for lower cost.