Skip to main content
BenchLM
Data

Data as of October 25, 2026 · How the score is built

EstablishedProprietaryNon-Reasoning

Released Apr 23, 2026128K contextOpenAI model documentation

GPT Audio 1.5

Decision readingGPT Audio 1.5 is tracked, but not publicly ranked yet. Published speech or voice results from GPT Audio 1.5 model documentation appear below. They do not produce a weighted text-model score.

Released Apr 23, 2026 — see all recent releases

Voice benchmark evidence

GPT Audio 1.5 model documentation is an owner-defined voice evaluation. Its result stays separate from BenchLM's weighted text-model ranking.

Modalities
Audio + text in, audio + text out
Context window
128,000 tokens
Audio pricing
$32 in / $64 out per 1M tokens
Provider API ID
gpt-audio-1.5
Provider snapshot · OpenAI · 2026-04-23

Lineage

The sequence follows explicit supersedes links. Each score is estimated for that model; a relative can inform a sparse estimate but never sets a floor, so a newer release can score below an earlier one. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.

  1. Apr 23, 2026 · you are here

    GPT Audio 1.5

    Not publicly ranked · $2.5 / $10

Base entry

Spec sheet

Each documented value carries its source. Missing fields stay visible as not sourced or not published, rather than disappearing from the page.

Maximum output
Not sourced yet
Knowledge cutoff
September 30, 2024OpenAI GPT Audio 1.5 model documentation
Input modalities
text, audioOpenAI GPT Audio 1.5 model documentation
Output modalities
text, audioOpenAI GPT Audio 1.5 model documentation
Parameters
Not disclosed by the provider
Cloud regions
Not tracked yet
API capabilities
Tool calling, structured outputs, and batch support are not tracked yet
Prompt caching
Not documented in the pricing recordOpenAI model documentation
Self-host
Weights are not published
Rate limits
Not tracked yet

How to read this profile

The visual layer above carries the decisions. These notes preserve the model, ranking, coverage, and family context behind the numbers.

We track GPT Audio 1.5, but no weighted text-model benchmark result is published on the site yet. This page shows the metadata and separate protocol evidence we can verify now; a BenchLM score will appear only if compatible public evaluations land.

GPT Audio 1.5 is a proprietary model with a 128K context window. No explicit reasoning mode is documented in this profile.

Available on the OpenAI Chat Completions API as gpt-audio-1.5 (launched April 23, 2026 alongside GPT-5.5) with text and audio input and output, a 128,000-token context, 16,384-token maximum output, streaming, and function calling. No other endpoint accepts the model.

GPT Audio 1.5 is a display-only audio-in, audio-out model for the Chat Completions API. Voice-protocol results remain separate from BenchLM’s weighted text-model ranking.

Speech or voice evidence appears above; text-model benchmark coverage remains empty.

Last updated October 25, 2026. Runtime fields remain blank until a sourced snapshot exists.

Questions

How does GPT Audio 1.5 perform overall in AI benchmarks?

GPT Audio 1.5 has published speech or voice results in GPT Audio 1.5 model documentation. Those results remain separate from the weighted text-model ranking, so this profile does not assign a BenchLM score or overall rank. Use the linked evaluation's metric and run conditions to compare speech systems.

Does GPT Audio 1.5 have full benchmark coverage on BenchLM?

No. GPT Audio 1.5's speech or voice results appear in GPT Audio 1.5 model documentation, but it has no published text-model benchmark rows. The voice evaluation does not fill the text-model coverage slots or produce an overall rank. Missing text coverage is not treated as a zero score.

What is the context window size of GPT Audio 1.5?

GPT Audio 1.5 has a documented context window of 128K. That figure is the maximum combined prompt and retained-conversation space reported for this exact model; it is not the maximum output length. The profile keeps output limits separate because providers often publish those limits independently.

Watch GPT Audio 1.5 in the weekly brief

Get one weekly email when material rank, price, availability, or benchmark evidence changes are worth revisiting.

Read a sample issue

Join 6,100+ subscribers.

Compare GPT Audio 1.5 with every tracked model991 comparisons