Gemini 3.5 Live Translate

Gemini 3.5 Live Translate by Google AI: specification and list price in the odnoga catalog. Not served through the odnoga gateway yet — see which models you can call today.

Streaming

Gemini 3.5 Live Translate is listed by Google AI in the odnoga catalog for its specification and price. odnoga does not serve it through the gateway yet.

Specification and price

VendorGoogle AI
Model IDgemini-3.5-live-translate-preview
Served onNot served through odnoga yet
CapabilitiesStreaming
Your plan
Per 1M tokensVendor costYour price on Free+7%
Input$3.50$3.76
Output$21$22.58
Cached input——

Vendor cost is the list price per million tokens as recorded in the odnoga catalog; your price applies your plan margin with the same formula that bills every request — see pricing. Pricing

In the catalog, not yet callable

odnoga tracks Gemini 3.5 Live Translate's specification and list price, but does not serve it through the gateway yet.

We would rather say so here than let you find out from an error. If you need this model, tell us — knowing who is waiting is how we decide what to add next.

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What Gemini 3.5 Live Translate can do

Everything below is what the model itself supports, as recorded by the vendor. odnoga does not route to it yet, so none of it is reachable through the gateway today.

Streaming

Tokens arrive as they are produced, so your interface can answer immediately.

Beyond text

Listens to audio

Takes recorded speech as input.

Speaks

Answers with generated speech, not only text.

Live voice

Holds a spoken conversation in real time, with interruptions.

How to use Gemini 3.5 Live Translate

Derived from the odnoga catalog record for this model.

Best for

  • Turning text into speech, or speech into text, on the audio endpoints rather than the chat one.

Not the right pick when

  • Anything that needs to read an image — this model takes text only.
  • Agent loops that must call your functions — tool calling is not available here.
  • Pipelines that require guaranteed JSON — parse defensively or pick a model with enforced JSON.
  • Large documents in one request — the window is 16K tokens, so you will need chunking.
  • Anything where a wrong answer is costly without a human check — no model in the catalog removes that requirement.

Practical tips through odnoga

  1. 01Pin the model id in a managed prompt version, so a model swap is a version change you can compare and roll back, not an edit in application code.
  2. 02Compare it against 2–8 other models on the same frozen test cases in the evaluation laboratory before you make it the production default.
  3. 03For repeated identical deterministic calls, odnoga answer reuse returns the stored answer and bills no vendor tokens — turn it off for creative output.
  4. 04Set a fallback model on the route so a vendor incident degrades quality instead of returning an error, and a per-tenant budget so one caller cannot spend the month.

What a month costs

1,000 calls a month, 10,000 input tokens and 2,000 output tokens each, at your Free price (vendor cost +7%):

Input (10M tokens)$37.63
Output (2M tokens)$45.16
Your cost per month on Free$82.80

Vendor list cost $77.00 + odnoga margin $5.80 (+7%). Cached input or answer reuse lowers it; odnoga records both numbers per request.

If Gemini 3.5 Live Translate is not the one

Models that take the same kind of input, are priced the same way, and do the closest thing to what this one does. Not a quality ranking — odnoga does not benchmark models.

ModelContextInput / 1MOutput / 1MCapabilities
Gemini 3.5 Live Translate16K$3.50$21Streaming
GPT-4o Transcribe—$2.50$10Streaming
GPT Realtime 2.132K$4$24Reads images, Tool calling, JSON schema, Streaming, Prompt caching
GPT-4o mini Transcribe—$1.25$5Streaming

Questions

How much does Gemini 3.5 Live Translate cost per 1M tokens?
Google AI lists $3.50 / $21 per 1M input / output tokens in the odnoga catalog. Through odnoga you pay that vendor price plus your plan margin, and every request is recorded with both numbers.
What is Gemini 3.5 Live Translate best for?
Turning text into speech, or speech into text, on the audio endpoints rather than the chat one.
Can I switch to Gemini 3.5 Live Translate without changing my code?
Yes. odnoga exposes one OpenAI-compatible endpoint, so switching means sending "gemini-3.5-live-translate-preview" as the model id — or changing it in the managed prompt version, with no application deploy.
How large is the Gemini 3.5 Live Translate context window?
16K tokens of input, with up to 33K tokens of output per response.

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Where this model sits

One gateway, every model.