Whisper Large V3
Open Whisper checkpoint for robust multilingual transcription and captioning
- Released
- 2y ago
- Transcription / hour
- $0.03
Sources:models.devOpenRouter
Audio pricing is shown only when an audio billing unit is published. Transcription and speech rates are converted to per hour and per 1M characters.
Benchmarks
DeepSWE is the primary coding benchmark where an exact model evaluation exists. Other sourced evaluations appear below; missing scores are not zero.
Not evaluated in DeepSWE 1.1 as of 2026-09-22. Results are only shown for exact model versions in the official dataset. Official leaderboard.
No benchmark results have been matched to this model yet.
Specifications
- Developer
- OpenAI
- Model family
- Whisper
- Type
- Audio model
- Predecessor
- —
- Successor
- —
- Released
- October 1, 2024
- Model ID
openai/whisper-large-v3- Openness
- Open weights
- License
- —
- Parameters
- —
- Input modalities
- audio
- Output modalities
- transcription
- Modality
- audio->transcription
- Hugging Face
- openai/whisper-large-v3
- Source freshness
- Metadata synced Oct 8, 2026, 10:17 PM UTC
Additional source evidence
- Source model
- openai/whisper-large-v3
- Source family
- whisper
- Last updated
- 2024-10-01
- Model context
- 448
- Model output limit
- 4K
- Open weights
- Yes
- File attachments
- No
- Reasoning
- No
- Tool calling
- No
Complete source record (JSON)
{
"id": "openai/whisper-large-v3",
"name": "Whisper 3 Large",
"description": "Open Whisper checkpoint for robust multilingual transcription and captioning",
"family": "whisper",
"last_updated": "2024-10-01",
"attachment": false,
"reasoning": false,
"tool_call": false,
"modalities": {
"input": [
"audio"
],
"output": [
"text"
]
},
"limit": {
"context": 448,
"output": 4096
},
"release_date": "2024-10-01",
"open_weights": true
}Infrastructure
Provider availability
| Provider | Endpoint | Pricing (published units) | Uptime 1d | Data handling |
|---|---|---|---|---|
| deepinfra/us | $0.03 / hour | 100.00% | ZDR: YesTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| together | $0.09 / hour | 99.74% | ZDR: YesTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| groq | $0.11 / hour | 100.00% | ZDR: YesTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 |
Provider data:OpenRouter
Text provenance
EU · product-scopedOpenAI textGrain watermarking
In the EU, ChatGPT-generated text uses textGrain. OpenAI says API customers can opt in globally for select models, so watermarking depends on the product surface and configuration.
Official explanationDeployment graph
Can I run this?
Vertical Tabs only shows compatibility when it has structured evidence tying this exact model to hardware, runtime, quantization, memory use, and observed performance.