gpt-audio-mini
OpenAIdevelopers.openai.com/api/docs/models/gpt-audio-
A cost-efficient version of GPT Audio
Updated 4 h ago · first seen 11 Sept 2026
model_01M293V79CHT4EJNBC8A85KQZ7
Overview
Identity
- Canonical model
- Yesidentity confidence: mediumOne row per real model release. Artifacts (checkpoints, quantisations, conversions) and folded evaluation variants point here.
- Official checkpoints
- None recorded — closed weightsofficial_checkpoints = hf_repo identifiers carried by the model itself; artifacts are separate entities pointing here through canonical_id.
- Artifacts
- None recordedSeparate entities (checkpoint · quantization · conversion · packaging) pointing to this model through canonical_id.
- Provider deployments
- 2
- API aliases
- gpt-audio-miniopenai/gpt-audio-miniIdentifiers under which providers and evaluators refer to this model.
- Folded evaluation variants
- 0Effort / thinking variants (…-high, …-non-reasoning) are result configurations of this model, not separate models. Their old URLs redirect here.
Openness
Closed / proprietary— weights not available; 7 dimensions unknown.
Weights are not available; the model is reachable only through an API or a product.
Weights
No
Inference code
—
Training code
—
Training data
—
Dataset
—
Commercial use
—
Redistribution
—
Derivatives
—
dimensions marked null are unknown, not false
Key facts
- Release date
Source:OpenRouter public model & pricing listingT2observed 13 h agomedium
- Status
Source:OpenAI Platform docsT1observed 14 h agohigh
- Deprecation date
Source:OpenAI Platform docsT1observed 14 h agohigh
- Retirement date
Source:OpenAI Platform docsT1observed 14 h agohigh
- Official page
Source:OpenAI Platform docsT1observed 14 h agohigh
- API model id
Source:OpenAI Platform docsT1observed 14 h agohigh
- Openrouter id
Source:OpenRouter public model & pricing listingT2observed 13 h agomedium
Architecture
- Tokenizer
Source:OpenRouter public model & pricing listingT2observed 13 h agomedium
Capabilities
Modalities
- Modalities
- audiotext
- Input
- audiotext
- Output
- audiotext
Capabilities
Tool calling
Yes
OpenRouter public model & pricing listing · T2
Structured output
Yes
OpenRouter public model & pricing listing · T2
Reasoning
Unavailable
Vision
Unavailable
Audio
Unavailable
Fine-tuning available
Unavailable
- Context window
Source:OpenRouter public model & pricing listingT2observed 13 h agomedium
- Max output
Source:OpenRouter public model & pricing listingT2observed 13 h agomedium
- Tokenizer
Source:OpenRouter public model & pricing listingT2observed 13 h agomedium
Providers & Pricing3
All offers in the price terminal →USD per 1M tokens as published by each provider; native units (per-request fees, flex/priority tiers) are kept verbatim. Rows are append-only — every price change is kept in the history below. Cost of a workload →
Price history
Output price · USD / 1M tokens 2 providers
- OpenAI API
- OpenRouter
- OpenRouterfirst observed $2.412 Sept 2026
- OpenAI APIfirst observed $2.411 Sept 2026
Input price · USD / 1M tokens 2 providers
- OpenAI API
- OpenRouter
- OpenRouterfirst observed $0.6012 Sept 2026
- OpenAI APIfirst observed $0.6011 Sept 2026
Versions & Artifacts0
Version history
Context windowfirst observation only
11 Sept 2026current
Max outputfirst observation only
11 Sept 2026current
Opennessfirst observation only
11 Sept 2026current
Statusfirst observation only
11 Sept 2026current
Each hop is a claim: click a value for its source, tier and observation time. Nothing is overwritten — a new observation closes the previous claim.
Artifacts 0
No artifact (checkpoint, quantisation, conversion or packaging) points to this model yet.
Timeline1
Full timeline →OpenRouter lists gpt-audio-mini at $0.6 in / $2.4 out per 1M tokens
openrouter
Change history22
Viewing AI Atlas as of 12 Mar 2026 — attributes exactly as the atlas knew them on that day; later corrections are not shown.
Back to today →gpt-audio-mini was not yet in AI Atlas on 12 Mar 2026
Release daterelease_date1
Statusstatus1
Opennessopenness1
Context windowcontext_length1
Max outputmax_output_tokens1
Modalitiesmodalities1
Input modalitiesmodalities_input1
Output modalitiesmodalities_output1
Tokenizertokenizer1
API model idapi_model_id1
Deprecation datedeprecation_date1
Retirement dateretirement_date1
Retirement tentativeretirement_tentative1
Official pageofficial_url1
Descriptiondescription1
Openrouter idopenrouter_id1
Openrouter listed atopenrouter_listed_at1
Retired snapshotsretired_snapshots1
Structured outputstructured_output1
Supported parameterssupported_parameters1
Tool callingtool_calling1
Weights availableweights_available1
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 →
Provenance
Attributed facts
22
Source tiers
T1T29 / 13
Freshest observation
4 h ago
Conflicts
None
Source documents 4
Tier 1 = official/primary, 2 = quality secondary, 3 = community, 4 = unverified. Every snapshot is archived; see all sources and the methodology.
Data quality (73/100) measures how well AI Atlas knows this entity — completeness, primary-source ratio, freshness, conflicts — never how good the model is. Methodology →