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AI models
openai

GPT Realtime Whisper

AI model Released

API mode
Audio transcription*
Context window
16,000 tokens
Maximum output
2,000 tokens
Open weights
No

No matched benchmark results are available for this entry yet.

Run it locally

Inference · memory estimate

GPT Realtime Whisper

Closed weights. No supported local deployment or GPU requirement is published.

Capabilities

Context window
16,000 tokens
Maximum output
2,000 tokens
Reasoning
No
Tool calling
No
Open weights
No
API mode
Audio transcription*
Audio input
Yes*

Input modalities

  • audio

Output modalities

  • text

System configuration

Detailed specifications

Specifications · 7 fields
input cost per second
0.000283333333333*
Scope and conditions
native_context
provider
openai*
mode
audio_transcription*
full_native_model_id
gpt-realtime-whisper*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
litellm provider
openai*
Scope and conditions
native_context
provider
openai*
mode
audio_transcription*
full_native_model_id
gpt-realtime-whisper*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
mode
audio_transcription*
Scope and conditions
native_context
provider
openai*
mode
audio_transcription*
full_native_model_id
gpt-realtime-whisper*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supported endpoints
  • /v1/realtime*
  • /v1/realtime/transcription_sessions*
Scope and conditions
native_context
provider
openai*
mode
audio_transcription*
full_native_model_id
gpt-realtime-whisper*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supported modalities
  • audio*
Scope and conditions
native_context
provider
openai*
mode
audio_transcription*
full_native_model_id
gpt-realtime-whisper*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supported output modalities
  • text*
Scope and conditions
native_context
provider
openai*
mode
audio_transcription*
full_native_model_id
gpt-realtime-whisper*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supports audio input
Yes*
Scope and conditions
native_context
provider
openai*
mode
audio_transcription*
full_native_model_id
gpt-realtime-whisper*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*

* Provisional data