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provider-capability

OpenAI Speech and audio

Direct answerUse this guide to understand the OpenAI Speech and audio capability, then verify the exact callable model ID, endpoint, and price in the model marketplace before integration.

Updated · Reviewed

Capability boundary

The OpenAI Speech and audio catalog describes the jobs this class of model is intended to solve. It does not mean that every listed model shares request fields, input limits, or output formats. Read each model card together with its lifecycle status, origin, and official source. A platform provider may host models from several original vendors, so both the displayed ID and origin matter.

Selection criteria

Speech and audio includes recognition, synthesis, realtime conversation, and general audio understanding, which cannot be reduced to one quality score. For recognition, measure word error rate, timestamps, speaker separation, language, and accents. For synthesis, compare naturalness, voice control, first-audio latency, and streaming playback. Realtime sessions also require interruption handling, echo and noise tests, conversation state, and tool use. Codec, sample rate, channels, and chunk boundaries must match the endpoint contract.

Integration and protocol boundary

Confirm the exact model ID, authentication method, endpoint, and request schema in the OpenAI official documentation, then look for the same exact ID and supported endpoint in this site's model marketplace. Changing only the base URL does not guarantee an identical response contract. Streaming events, asynchronous jobs, file uploads, tool calls, and error payloads may require separate adapters.

Production checklist

Build a repeatable evaluation from representative inputs and record the model ID, parameters, input version, and result. Measure success rate, tail latency, throttling, timeout behavior, cost per completed task, and safety outcomes. Prepare a replacement path for preview or legacy models. The official catalog explains product boundaries; callable availability, channel status, and current pricing remain the responsibility of the model marketplace.

Reviewed provider catalog

Models in this capability

These are provider-catalog models, not a promise of availability on this site. Confirm callable IDs, endpoints, and pricing in the model marketplace.

Speech and audio

Check live availability in the model marketplace

Use cases

  • Speech recognition, transcription, and captions
  • Speech synthesis, realtime conversation, and audio understanding

FAQ

How should I choose a OpenAI Speech and audio model?

Start from the required input and output, then compare quality, latency, context or media limits, tool support, lifecycle status, and total request cost with representative production samples.

Does every model in the official catalog work on this site?

Not necessarily. The documentation records the provider catalog; callable IDs, channel support, endpoints, and current prices must be confirmed in the model marketplace.

What should be tested before production rollout?

Pin the exact model ID and endpoint, test success and error responses, measure quality and latency on real inputs, set timeouts and bounded retries, and monitor provider deprecations.

  • OpenAIOpenAI recommends Responses API for new projects. Direct and gateway calls both use a Bearer header, but require separate OpenAI and site keys, and the gateway endpoint must be implemented for the selected model.
  • Speech, transcription, and realtime audio guideTranscription, speech synthesis, and realtime voice are separate pipelines focused on recognition accuracy, voice rights, and low-latency duplex transport.
  • AI API quickstart: from API key to first requestAn AI API call needs a matching base URL, API key, model ID, and endpoint; start with minimal curl, then add error handling, cost controls, and key security.
  • Common AI API error codes and troubleshootingHandle AI API failures by parsing the HTTP status, provider code, error type, message, retry hints, and request ID together. Fix request, authentication, billing, and hard-quota causes first; retry only transient throttling, network failures, and selected 5xx errors with strict bounds.

Official sources

  1. OpenAI Models Official
  2. OpenAI API Reference Official
  3. OpenAI Developer Quickstart Official
  4. Migrate to the Responses API Official
  5. OpenAI Function Calling Official
  6. OpenAI Streaming Responses Official
  7. OpenAI Rate Limits Official