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Models / Google

Google: Gemini 3.5 Transcribe

google/gemini-3.5-transcribe

audioContext 98K

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...

Price

Input$2

per 1M tokens

Output$12

per 1M tokens

Compare this model

Providers

Each row is one seller. Prices are the published rate from that source. A dash means that source did not publish the amount. Sorted by a 3:1 blend of input and output.

ProviderTagQuant InputOutput ContextUptimeStatusSource
Google AI Studio google-ai-studio — $2/1M $12/1M 98K 100% Live openrouter-endpoints

Monthly bill

Token models use the token counts. Image, video, and audio models use units times the flat rate.

$14.00 at list price for this workload

Every rate
UnitInputOutputFlatConfidence
token $2/1M $12/1M Not published— official

Price history

Google: Gemini 3.5 Transcribe
15 0 2026-09-25: $22026-09-26: $22026-09-27: $22026-09-28: $22026-09-29: $22026-09-30: $22026-10-01: $22026-10-02: $22026-10-03: $22026-10-04: $22026-10-05: $22026-10-06: $22026-10-07: $22026-10-08: $22026-10-09: $22026-10-10: $22026-10-11: $22026-10-12: $22026-10-13: $22026-10-14: $22026-10-15: $22026-10-16: $22026-10-17: $22026-10-18: $22026-10-19: $22026-10-20: $22026-10-21: $22026-10-22: $22026-10-23: $22026-10-24: $22026-10-25: $22026-10-26: $22026-10-27: $22026-10-28: $22026-10-29: $22026-10-30: $2 2026-09-25 2026-10-30

input or flat output

Daily snapshots
UTC dateUnitInputOutputFlat
2026-09-25 token $2 $12 Not published—
2026-09-26 token $2 $12 Not published—
2026-09-27 token $2 $12 Not published—
2026-09-28 token $2 $12 Not published—
2026-09-29 token $2 $12 Not published—
2026-09-30 token $2 $12 Not published—
2026-10-01 token $2 $12 Not published—
2026-10-02 token $2 $12 Not published—
2026-10-03 token $2 $12 Not published—
2026-10-04 token $2 $12 Not published—
2026-10-05 token $2 $12 Not published—
2026-10-06 token $2 $12 Not published—
2026-10-07 token $2 $12 Not published—
2026-10-08 token $2 $12 Not published—
2026-10-09 token $2 $12 Not published—
2026-10-10 token $2 $12 Not published—
2026-10-11 token $2 $12 Not published—
2026-10-12 token $2 $12 Not published—
2026-10-13 token $2 $12 Not published—
2026-10-14 token $2 $12 Not published—
2026-10-15 token $2 $12 Not published—
2026-10-16 token $2 $12 Not published—
2026-10-17 token $2 $12 Not published—
2026-10-18 token $2 $12 Not published—
2026-10-19 token $2 $12 Not published—
2026-10-20 token $2 $12 Not published—
2026-10-21 token $2 $12 Not published—
2026-10-22 token $2 $12 Not published—
2026-10-23 token $2 $12 Not published—
2026-10-24 token $2 $12 Not published—
2026-10-25 token $2 $12 Not published—
2026-10-26 token $2 $12 Not published—
2026-10-27 token $2 $12 Not published—
2026-10-28 token $2 $12 Not published—
2026-10-29 token $2 $12 Not published—
2026-10-30 token $2 $12 Not published—

Alternatives

Call this model

OpenRouter id google/gemini-3.5-transcribe. InferenceList does not send the request.

curl 
curl https://openrouter.ai/api/v1/chat/completions \
  -H "Authorization: Bearer $OPENROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"google/gemini-3.5-transcribe","messages":[{"role":"user","content":"Hello"}]}'

JavaScript 
await fetch("https://openrouter.ai/api/v1/chat/completions", {
  method: "POST",
  headers: {
    Authorization: "Bearer " + process.env.OPENROUTER_API_KEY,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    model: "google/gemini-3.5-transcribe",
    messages: [{ role: "user", content: "Hello" }],
  }),
});

Python 
import os, json, urllib.request
req = urllib.request.Request(
    "https://openrouter.ai/api/v1/chat/completions",
    data=json.dumps({"model": "google/gemini-3.5-transcribe", "messages": [{"role": "user", "content": "Hello"}]}).encode(),
    headers={"Authorization": "Bearer " + os.environ["OPENROUTER_API_KEY"], "Content-Type": "application/json"},
)
print(urllib.request.urlopen(req).read().decode())

JSON · History JSON