Gemini 2.5 Flash Native Audio (Live)

Gemini 2.5 Flash Native Audio (Live) 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.

ReasoningReads imagesTool callingJSON schemaStreaming

Gemini 2.5 Flash Native Audio (Live) is listed by Google AI in the odnoga catalog for its specification and price. odnoga does not serve it through the gateway yet. It is a reasoning model, so it spends extra output tokens working through a problem before answering — budget for higher output cost on hard tasks. It accepts images alongside text. It supports tool and function calling. It can be forced to return structured JSON.

Specification and price

VendorGoogle AI
Model IDgemini-2.5-flash-native-audio-preview-12-2025
Served onNot served through odnoga yet
CapabilitiesReasoning, Reads images, Tool calling, JSON schema, Streaming
Your plan
Per 1M tokensVendor costYour price on Free+7%
Input$0.5$0.538
Output$2$2.15
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 2.5 Flash Native Audio (Live)'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.

Tell us you need it · Browse models you can call today

What Gemini 2.5 Flash Native Audio (Live) 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.

Reasoning

Works through a problem step by step before answering, which costs more tokens and buys accuracy on hard tasks.

Reads images

Send a screenshot, a photo or a scan in the same message as your text.

Tool calling

The model can call functions you define and use what they return.

JSON mode

Answers with valid JSON instead of prose you would have to parse.

JSON schema

Answers in the exact shape you specify, so the response fits your types without a fallback path.

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.

Watches video

Takes video as input and answers questions about what happens in it.

Finer control

  • Structured outputs · The provider guarantees the schema rather than merely aiming for it.

How to use Gemini 2.5 Flash Native Audio (Live)

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

  • Simple, high-frequency calls — reasoning spends extra output tokens, so a non-reasoning model in the same catalog is usually cheaper and faster.
  • 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. 04Ask for JSON through the response format rather than in the prompt text — the schema is enforced instead of suggested.
  5. 05Budget for output tokens: reasoning happens on the output side, so a short answer can still be an expensive call.
  6. 06Set 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)$5.38
Output (2M tokens)$4.30
Your cost per month on Free$9.68

Vendor list cost $9.00 + odnoga margin $0.677 (+7%). Cached input or answer reuse lowers it; odnoga records both numbers per request.

If Gemini 2.5 Flash Native Audio (Live) 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 2.5 Flash Native Audio (Live)131K$0.5$2Reasoning, Reads images, Tool calling, JSON schema, Streaming
Gemini 3.1 Flash Live131K$0.75$4.50Reads images, Tool calling, JSON schema, Streaming
Gemini Robotics ER 2 Streaming131K$1$5Reads images, Tool calling, JSON schema, Streaming
GPT Realtime 2.1 mini32K$0.6$2.40Reads images, Tool calling, JSON schema, Streaming, Prompt caching

Questions

How much does Gemini 2.5 Flash Native Audio (Live) cost per 1M tokens?
Google AI lists $0.5 / $2 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 2.5 Flash Native Audio (Live) best for?
Turning text into speech, or speech into text, on the audio endpoints rather than the chat one.
Can I switch to Gemini 2.5 Flash Native Audio (Live) without changing my code?
Yes. odnoga exposes one OpenAI-compatible endpoint, so switching means sending "gemini-2.5-flash-native-audio-preview-12-2025" as the model id — or changing it in the managed prompt version, with no application deploy.
How large is the Gemini 2.5 Flash Native Audio (Live) context window?
131K tokens of input, with up to 8K tokens of output per response.

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