OpenAI
gpt-audio
Overall 72commercialOpenAI's realtime and audio models for low-latency voice interfaces.
Capability profile
Radar view of the model's practical strengths. This chart is backed by textual summaries below for crawlability.
Benchmark summary
This entry has source-backed metadata, but benchmark coverage is still sparse, so the page emphasizes published specs and deployment fit.
No benchmark series is attached to this model yet. Source links and product metadata are available below.
Strengths
- • Source-backed listing for audio / realtime buyers
- • Useful when deeper benchmark profiling is still incomplete
Trade-offs
- • Detailed benchmark coverage is still limited for this entry
- • Some pricing or capability fields may remain unpublished
Crawlable benchmark analysis
gpt-audio is positioned as an audio / realtime model with published scores that emphasize its practical fit for buyers evaluating the entry.
Published scores highlight reasoning 78/100, coding 62/100, enterprise readiness 78/100, vision 38/100, speed 95/100, and safety 76/100.
Pricing starts at $0.006 per 1K input tokens and $0.02 per 1K output tokens. With a context window of 128,000 tokens, it supports large-document analysis and retrieval workflows.
Benchmark coverage is still limited for this entry, so this section focuses on published metadata and deployment fit.
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