openai
OpenAI: GPT Audio Mini
openai/gpt-audio-mini
Our take
AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.
GPT Audio Mini is a smaller, cost-efficient variant of OpenAI's GPT Audio family, offered through OpenRouter's catalog. It accepts text and audio inputs and returns text and audio outputs, with a 128,000-token context window. According to the catalog, the current snapshot adds an upgraded decoder intended to produce more natural-sounding voices and steadier voice consistency. Its supported parameters include tool calling, structured outputs, and common sampling controls. All information here comes from the OpenRouter catalog listing; no independent model card, benchmarks, or evaluation results were included in this source pack.[1]
Strengths
- Native text-and-audio input and output in a single model, suited to speech-forward interfaces.[1]
- Catalog description reports an upgraded decoder for more natural voices and improved voice consistency in the current snapshot.[1]
- Supports tool calling, structured outputs, and a broad set of sampling parameters for application control.[1]
Limitations
- Evidence is catalog-only: no independent model card, benchmark results, or usage reports were available in this source pack.[1]
- The listing does not state a knowledge cutoff or training details, and the reasoning field is null, so reasoning support is unconfirmed.[1]
- Claims about voice quality and consistency are vendor-catalog statements that have not been independently validated here.[1]
Where to use it
Sources
- [1] OpenRouter catalog · OpenAI: GPT Audio MiniSources checked: Nov 13, 2026
About this model
Description below is the original text supplied by OpenRouter, shown in the source language.
A cost-efficient version of GPT Audio. The new snapshot features an upgraded decoder for more natural sounding voices and maintains better voice consistency. Input is priced at $0.60 per million...
Specifications
- Model ID
- openai/gpt-audio-mini
- Creator
- openai
- Added to OpenRouter
- 19.01.2026
- Context length
- 128,000
- Modality
- text+audio->text+audio
- Input modalities
- text, audio
- Output modalities
- text, audio
- Token pricing
- No per-token price in the source snapshot — see OpenRouter for the billing unit
- Knowledge cutoff
- —
- Expiration date
- —
Tasks and capabilities
A grade appears only where the source supplies a matching measurement for that task, the model is active and the cohort holds at least 10 comparable models. The capability column lists facts the source declares — supported formats, reasoning and tool parameters — which are not measured quality.
| Task | Grade | Source-declared capability |
|---|---|---|
| General quality | No measurement | — |
| Coding | No measurement | — |
| Agents | No measurement | parameters: structured_outputs, tool_choice, tools |
| Writing | No measurement | output: text |
| Reasoning | No measurement | — |
| Document analysis | No measurement | — |
| Vision | No measurement | — |
| Image generation | No measurement | — |
| Audio | No measurement | input: audio · output: audio |
| Video | No measurement | — |
| Embeddings | No measurement | — |
Evaluations
No evaluations are supplied for this model.
How grades work
Each letter grade compares a model only against other models scored by the same source and metric in the current snapshot. S means the top 10%, A the next 20%, B the next 30%, C the rest. Models without a published measurement are shown as not rated — a supported format alone never implies measured quality.
- S — S — top 10% of the cohort
- A — A — next 20% of the cohort
- B — B — next 30% of the cohort
- C — C — below the B band
Providers
Optional live provider statistics from OpenRouter. Missing values are unknown, not zero.
| Provider | Context length | Price in /1M | Price out /1M | Latency p50 (30m, s) | Throughput p50 (30m, tok/s) | Uptime (30m) |
|---|---|---|---|---|---|---|
| OpenAI | 128,000 | — | — | — | — | 100% |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.