Whisper
OpenAIdevelopers.openai.com/api/docs/models/whisper-1
General-purpose speech recognition model
Updated 34 min ago · first seen 11 Sept 2026
model_01M293VC72CHCTNJ08P4S29BGR
- Parameters
- 1.54B
- T2 · 36 min ago
Specification
- Status
- deprecated
Source:OpenAI Platform docsT1observed 56 min agohigh
- Openness
- proprietary
Source:OpenAI Platform docsT1observed 56 min agohigh
- Parameters
- 1.54B
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 36 min agomedium
- API model id
- whisper-1
Source:OpenAI Platform docsT1observed 56 min agohigh
- Deprecation date
- 26 Aug 2026
Source:OpenAI Platform docsT1observed 56 min agohigh
- Retirement date
- 26 Feb 2027
Source:OpenAI Platform docsT1observed 56 min agohigh
- Retirement tentative
- No
Source:OpenAI Platform docsT1observed 56 min agohigh
- Hugging Face repo
- openai/whisper-large-v3
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 36 min agomedium
- Pipeline tag
- automatic-speech-recognition
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 36 min agomedium
- Official page
Source:OpenAI Platform docsT1observed 56 min agohigh
- Model card
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 36 min agomedium
- Downloads
- 5,008,122
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 34 min agomedium
- Likes
- 6,263
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 34 min agomedium
- Groq model id
- whisper-large-v3
Source:Groq — docs & pricingT1observed 38 min agohigh
- Groq pricing note
- $0.111 per hour
Source:Groq — docs & pricingT1observed 38 min agohigh
- Last modified
- 2024-08-12T10:20:10+00:00
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 36 min agomedium
Each value shows its source, tier and observation time. Conflicting claims are kept side by side and flagged — never averaged. How AI Atlas records facts →
Provenance
Attributed facts
17
Source tiers
T1T210 / 7
Freshest observation
34 min ago
Conflicts
2 flagged
Modalities
Modalities unavailable.
Capabilities
Tool calling
Unavailable
Structured output
Unavailable
Reasoning
Unavailable
Vision
Unavailable
Audio
Unavailable
Fine-tuning available
Unavailable
No capability flags have been observed from a source yet — we do not infer them.
No structured attributes yet.
No benchmark results recorded
Current prices
No current prices recorded
Available through 1
Price history
Memory need = bytes per parameter (4-bit ≈ 0.5 × 1.15 overhead, 8-bit 1.0, fp16 2.0) + a KV-cache allowance. Not a measurement.
| Hardware | Quantization | Memory | Est. need | Fits |
|---|---|---|---|---|
| Apple M3 Ultra | 4bit | — | 1.4 GB | Yes |
| AMD Instinct MI325X | 4bit | 256 GB | 1.4 GB | Yes |
| AMD Instinct MI300X | 4bit | 192 GB | 1.4 GB | Yes |
| Apple M2 Ultra | 4bit | — | 1.4 GB | Yes |
| NVIDIA B200 | 4bit | 180 GB | 1.4 GB | Yes |
| NVIDIA H200 | 4bit | 141 GB | 1.4 GB | Yes |
| Apple M1 Ultra | 4bit | — | 1.4 GB | Yes |
| Apple M3 Max | 4bit | — | 1.4 GB | Yes |
| Apple M4 Max | 4bit | — | 1.4 GB | Yes |
| NVIDIA DGX Spark | 4bit | 128 GB | 1.4 GB | Yes |
| Apple M2 Max | 4bit | — | 1.4 GB | Yes |
| NVIDIA A100 80GB | 4bit | 80 GB | 1.4 GB | Yes |
| NVIDIA H100 SXM | 4bit | 80 GB | 1.4 GB | Yes |
| Apple M1 Max | 4bit | — | 1.4 GB | Yes |
| Apple M4 Pro | 4bit | — | 1.4 GB | Yes |
| Apple M3 Pro | 4bit | — | 1.4 GB | Yes |
| Apple M1 Pro | 4bit | — | 1.4 GB | Yes |
| Apple M2 Pro | 4bit | — | 1.4 GB | Yes |
| Apple M4 | 4bit | — | 1.4 GB | Yes |
| NVIDIA GeForce RTX 5090 | 4bit | 32 GB | 1.4 GB | Yes |
| Apple M2 | 4bit | — | 1.4 GB | Yes |
| Apple M3 | 4bit | — | 1.4 GB | Yes |
| NVIDIA GeForce RTX 3090 | 4bit | 24 GB | 1.4 GB | Yes |
| NVIDIA GeForce RTX 4090 | 4bit | 24 GB | 1.4 GB | Yes |
| Apple M1 | 4bit | — | 1.4 GB | Yes |
No lineage recorded
Papers 0
No papers linked yet.
Repositories 0
No repositories linked yet.
As of
Rewind the record: see this entity's attributes exactly as AI Atlas knew them on a given day.
Claim history · Groq pricing note
Groq pricing notegroq_pricing_note1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| $0.111 per hour | → current | current | Groq — docs & pricingT1 | high | deterministic |
Claims are temporal and append-only: a new observation closes the previous claim (valid_to) instead of overwriting it. Conflicting claims from different sources are kept side by side and flagged — never averaged. Methodology →
| Source | Document | Type | Tier | Last observed | Snapshots |
|---|---|---|---|---|---|
| Groq — docs & pricing | console.groq.com/docs/models | model_docs | T1· Official | 35 min ago | 1 |
| OpenAI Platform docs | developers.openai.com/api/docs/deprecations.md | model_docs | T1· Official | 45 min ago | 1 |
| OpenAI Platform docs | developers.openai.com/api/docs/models.md | model_docs | T1· Official | 45 min ago | 1 |
| Hugging Face Hub (public pages, model cards, papers) | huggingface.co/models?author=openai&p=0&sort=downloads | listing | T2· Quality secondary | 34 min ago | 2 |
Tier 1 = official/primary, 2 = quality secondary, 3 = community, 4 = unverified. Every snapshot is archived; see all sources and the methodology.