whisper-large-v3
Audiotransformerspytorchjaxsafetensorswhisperautomatic-speech-recognitionaudiohf-asr-leaderboardenzhdeesrukofrjapttrplcanlarsvitidhifiviheukelmscsrodahutanothurhrbgltlamimlcysktefalvbnsrazslknetmkbreuishynemnbskksqswglmrpasikmsnyosoafockabetgsdguamyilouzfohtpstknnmtsalbmybotlmgastthawlnhabajwsuarxiv:2212.04356license:apache-2.0eval-resultsendpoints_compatibledeploy:sagemakerdeploy:azureregion:us
Context
1,500 tokens
Max Output
750 tokens
Released
11/7/2023
Providers
1
Overview
whisper-large-v3 is a large language model developed by OpenAI. It supports 1,500 tokens context and is available through 1 API provider(s).
Key Highlights
- Audio
Brand
OpenAI
Organization
Country: USA
View all models, pricing and details from OpenAI.
Specifications
Basic Information
| Model | whisper-large-v3 |
| Brand | OpenAI |
| Version | 3 |
| Model Type | transformers |
| Status | stable |
| Released | 11/7/2023 |
| Popularity | 4994424 |
Architecture
| Parameter Size | 1.5B |
| Architecture Type | whisper |
| Attention Mechanism | encoder-decoder-mha |
| Tokenizer | Unknown / Not disclosed |
| Vocabulary Size | Unknown / Not disclosed |
Context & I/O
| Context | 1,500 tokens |
| Max Output | 750 tokens |
| Modalities | Audio |
| Languages | en,zh,de,es,ru,ko,fr,ja,pt,tr,pl,ca,nl,ar,sv,it,id,hi,fi,vi,he,uk,el,ms,cs,ro,da,hu,ta,no,th,ur,hr,bg,lt,la,mi,ml,cy,sk,te,fa,lv,bn,sr,az,sl,kn,et,mk,br,eu,is,hy,ne,mn,bs,kk,sq,sw,gl,mr,pa,si,km,sn,yo,so,af,oc,ka,be,tg,sd,gu,am,yi,lo,uz,fo,ht,ps,tk,nn,mt,sa,lb,my,bo,tl,mg,as,tt,haw,ln,ha,ba,jw,su |
Capabilities
| Vision | No |
| Audio | Yes |
| Reasoning | No |
| Function Call | No |
| MCP | No |
| JSON Mode | No |
| Embedding | No |
Training Data
| Training Dataset | Unknown / Not disclosed |
| Estimated Data Size | Unknown / Not disclosed |
| Knowledge Cutoff | Unknown / Not disclosed |
Inference & Deployment
| API Access | Yes |
| VRAM Estimate | Unknown / Not disclosed |
| Quantization Support | Unknown / Not disclosed |
| Hardware Requirements | Unknown / Not disclosed |
Safety & Compliance
| Safety Evaluations | Unknown / Not disclosed |
| Content Policy | Unknown / Not disclosed |
| Region Restrictions | Unknown / Not disclosed |
License & Pricing
| License | apache-2.0 |
| Commercial Use | Unknown / Not disclosed |
| Open Source | Yes |
Provider & Pricing
| Provider | Input | Output | Cache | Batch | Website |
|---|---|---|---|---|---|
| openai | $0.000/1M | $0.000/1M | - | - | Visit Website |
Price Changes
No recorded price changes.
Benchmarks
No benchmark data available.
Changelog
- Page created / data imported9/23/2026
- Last updated9/23/2026
Frequently Asked Questions
What is whisper-large-v3?
whisper-large-v3 is a large language model developed by OpenAI.
Who developed whisper-large-v3?
whisper-large-v3 was developed by OpenAI. You can learn more on the brand page or official website.
What is the context length of whisper-large-v3?
whisper-large-v3 supports up to 1,500 tokens of context.
How much does whisper-large-v3 API cost?
API pricing for whisper-large-v3 starts at $0.000/1M per 1M input tokens and $0.000/1M per 1M output tokens. See the pricing table above for provider-specific rates.