Gemini 3.5 Transcribe Live

SyncDev model directory · Profile updated Oct 13, 2026

Compare with another model

Gemini 3.5 Transcribe Live from Google: Speech transcription model for accurate audio-to-text and captioning workflows.

Key specifications

License
Proprietary

Inputs and outputs

Recorded modality support shows what this model can accept and produce. An undocumented modality is shown as unknown rather than assumed to be unsupported.

Accepts

  • Audio input

Produces

  • Text output

Capabilities

Audio

What is Gemini 3.5 Transcribe Live?

What Gemini 3.5 Transcribe Live is for

Speech transcription model for accurate audio-to-text and captioning workflows. The registry places it in the gemini family with a release date of 2026-08-26. This profile describes its documented interface and how to evaluate it for the intended task.

Inputs and request limits

The recorded inputs are audio, with text output. A numeric context or output allowance is not recorded. Additional capability flags are not established by this record. These are specifications, not a measured quality or speed ranking. A host can impose its own request limits and support a different subset of features.

Deployment and cost

Gemini 3.5 Transcribe Live is recorded as a hosted model without downloadable weights. Confirm the current model ID and access conditions on the chosen API. A registry listing alone does not establish that an account or region has access.

No independently checked token rate is added from a hosting alias. Use the route’s current price and billing unit when comparing cost, including output, reasoning, cache behavior and retries where applicable.

What to test

Use audio from the languages, microphones and noise conditions you expect in deployment. Check names, numbers, punctuation and timestamps separately. Measure transcription errors and, for streaming, the delay before a stable transcript. Audio minutes and text tokens are different billing units.

Evidence and related models

A supporting source document was retrieved for this entry. Specifications above remain attributed to the models.dev record unless the publisher supplies a more specific limit. SyncDev has not independently benchmarked Gemini 3.5 Transcribe Live.

Browse Google models, explore related tasks, or compare two models using the same workload.

How to evaluate Gemini 3.5 Transcribe Live

Compare the model on the work you need to complete.

Tasks and inputs

Gemini 3.5 Transcribe Live is listed for Automatic speech recognition. It accepts audio and produces text. Use the publisher’s input format and preprocessing for your chosen deployment.

Capacity and cost

Measure a completed task using the prompts, documents and tools your application will use. Include reasoning and retries in the result.

Choosing a deployment

Use the model identifier and account requirements for the selected API route. Confirm its request limits and output format with one complete task before connecting a larger workflow.

Frequently asked questions

Gemini 3.5 Transcribe Live from Google: Speech transcription model for accurate audio-to-text and captioning workflows.

These records share a directory category. Check the source card, output type and deployment requirements before treating a model as a replacement.

Microsoft

MAI-Transcribe-2-Streaming

MAI-Transcribe-2-Streaming transcribes live audio with intermediate and final segments through Microsoft Foundry’s speech services.

— context

xAI

Grok Voice Transcribe 2.0

Grok Voice Transcribe 2.0 transcribes recorded and streaming audio; the retired 1.0 API name now routes to this revision.

— context

xAI

Grok Voice STT 1.0

Grok Voice STT 1.0 from xAI: Grok Voice STT 1.0 is xAI's speech-to-text model. It supports transcription with word-level timestamps, optional speaker diarization, and multichannel audio.

15K context

OpenAI

GPT Realtime Whisper

GPT Realtime Whisper from OpenAI: Streaming speech-to-text model for low-latency transcript deltas from live audio.

16K context

openai

openai/whisper-large-v3-turbo

openai/whisper-large-v3-turbo is a source-linked Hugging Face repository assigned to Automatic speech recognition. Its recorded task interface accepts audio and produces text.

— context

OpenAI

Whisper 3 Large

Whisper 3 Large from OpenAI: Open Whisper checkpoint for robust multilingual transcription and captioning.

448 context