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google

Google: Gemini 3.5 Transcribe

google/gemini-3.5-transcribe

Our take

AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.

According to its OpenRouter catalog listing, google/gemini-3.5-transcribe is a speech-to-text model from Google that accepts audio input and produces transcriptions. The catalog describes it as suited to synchronous transcription needing word-level timestamps or speaker diarization, with support for up to eight speakers, and lists a context length of 98,304 tokens. No independent model card was available in this source pack, so capabilities are catalog-reported and measured performance is unverified; validate accuracy and latency on your own workloads.[1]

Strengths

  • OpenRouter's catalog reports support for word-level timestamps and speaker diarization covering up to eight speakers.[1]
  • The catalog lists a context length of 98,304 tokens, which could accommodate long audio inputs if it applies as stated.[1]
  • The listing presents it as purpose-built for synchronous audio-to-transcription workloads rather than general-purpose generation.[1]

Limitations

  • Evidence comes solely from the OpenRouter catalog; no independent model card was available in this source pack, so all capabilities remain catalog-reported.[1]
  • No benchmark results appear in the listing, so transcription accuracy, diarization quality and latency are unmeasured here and require workload validation.[1]
  • The catalog documents no supported request parameters, so configurability and tuning options are unknown.[1]

Where to use it

  • Potentially suitable for synchronous transcription of multi-speaker audio such as meetings or calls, provided diarization holds up on your recordings.[1]
  • May fit captioning or subtitling pipelines that need word-level timestamps, pending testing on representative content.[1]
  • Could be evaluated for long-form audio transcription given the catalog's large stated context length.[1]

Sources

  1. [1] OpenRouter catalog · Google: Gemini 3.5 TranscribeSources checked: Nov 13, 2026

About this model

Description below is the original text supplied by OpenRouter, shown in the source language.

Gemini 3.5 Transcribe is a speech-to-text model from Google. It is suited for synchronous transcription that needs word-level timestamps or speaker diarization, with support for up to eight speakers. Audio...

Specifications

Model ID
google/gemini-3.5-transcribe
Canonical ID
google/gemini-3.5-transcribe-20260827
Creator
google
Added to OpenRouter
25.09.2026
Context length
98,304
Modality
audio->transcription
Input modalities
audio
Output modalities
transcription
Token pricing
No per-token price in the source snapshot — see OpenRouter for the billing unit
Knowledge cutoff
—
Expiration date
—

Tasks and capabilities

A grade appears only where the source supplies a matching measurement for that task, the model is active and the cohort holds at least 10 comparable models. The capability column lists facts the source declares — supported formats, reasoning and tool parameters — which are not measured quality.

TaskGradeSource-declared capability
General qualityNo measurement—
CodingNo measurement—
AgentsNo measurement—
WritingNo measurement—
ReasoningNo measurement—
Document analysisNo measurement—
VisionNo measurement—
Image generationNo measurement—
AudioNo measurementinput: audio
VideoNo measurement—
EmbeddingsNo measurement—

Evaluations

No evaluations are supplied for this model.

How grades work

Each letter grade compares a model only against other models scored by the same source and metric in the current snapshot. S means the top 10%, A the next 20%, B the next 30%, C the rest. Models without a published measurement are shown as not rated — a supported format alone never implies measured quality.

  • S — S — top 10% of the cohort
  • A — A — next 20% of the cohort
  • B — B — next 30% of the cohort
  • C — C — below the B band

Providers

Optional live provider statistics from OpenRouter. Missing values are unknown, not zero.

ProviderContext lengthPrice in /1MPrice out /1MLatency p50 (30m, s)Throughput p50 (30m, tok/s)Uptime (30m)
Google AI Studio98,304————100%

Provider data retrieved: 13.11.2026

No published articles identify this model yet.