OpenAI
OpenAI
Speech model · United States ·Sep 2022

Whisper

Speech Open (Restricted)
1.6B
Parameters

About Whisper

Whisper is an AI model developed by OpenAI, in the speech category, released in 2022, made available as an open-weights model with 1.6B params.

On this page you'll find Whisper's full specifications. Review provider pricing and benchmark scores below, or compare Whisper head-to-head with other speech models.

→ More models by OpenAI → All speech models → AI benchmarks leaderboard

Links

Announcement ↗

Run Whisper locally — what fits

GPUs with enough VRAM to hold Whisper at FP16 (lower precision needs less), from best value to most headroom. Generation speed depends on your tool, resolution and step count, so we don't estimate it.

Good
Intel Arc B580 12GB
Consumer GPU · ~$249
12 GB VRAM
fits at FP16 · ~6.4 GB headroom
See fit detail →
Better
AMD Ryzen AI Max+ 395
Consumer GPU · ~$1,999
128 GB VRAM
fits at FP16 · ~110.6 GB headroom
See fit detail →
Best
Apple M2 Ultra 192GB
Apple · ~$6,600
192 GB VRAM
fits at FP16 · ~168.2 GB headroom
See fit detail →

VRAM fit only — we don't estimate generation speed for image/video/audio models (it depends on the tool, resolution and steps).

Consumer GPU
32 options that fit
→
Apple
18 options that fit
→
Datacenter GPU
13 options that fit
→

Community

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Discussion

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Frequently asked questions

What is Whisper? ▶

Whisper is an AI model developed by OpenAI, in the speech category, released in 2022. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.

Who created Whisper? ▶

Whisper was developed by OpenAI and released in 2022.

Is Whisper open source or proprietary? ▶

Whisper ships as an open-weights model: you can download and self-host the weights, though the licence may place some restrictions on use.

How much does Whisper cost? ▶

Pricing for Whisper depends on the provider. See the providers table on this page for the latest API rates.

How does Whisper perform on benchmarks? ▶

Benchmark scores for Whisper are listed on this page as they are published. You can compare it head-to-head with other models on the GenAIList compare tool.

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