LiteLLMModels

Gemini Live 2.5 Flash Preview Native Audio API Pricing

As of October 10, 2026, Gemini Live 2.5 Flash Preview Native Audio costs $0.50 per 1M input tokens and $2.00 per 1M output tokens on Google AI Studio. It has a 1,048,576-token context window and returns up to 65,535 tokens per response.

By GoogleModel ID gemini/gemini-live-2.5-flash-preview-native-audio-09-2025Prices updated Checked
Input
$0.50 / 1M tokens
Output
$2.00 / 1M tokens
Context window
1,048,576 tokens
Max output
65,535 tokens
Providers
2
Added to LiteLLM
November 2025

Gemini Live 2.5 Flash Preview Native Audio pricing by provider

2 listings across 2 providers. Token prices are in US dollars per 1M tokens. The highlighted row is the price quoted above.

ProviderModel name in LiteLLMInputOutputContext
Google AI Studiosnapshot 09-2025gemini/gemini-live-2.5-flash-preview-native-audio-09-2025$0.50$2.001M
Google Vertex AIsnapshot 09-2025vertex_ai/gemini-live-2.5-flash-preview-native-audio-09-2025$0.50$2.001M

Other Gemini Live 2.5 Flash Preview Native Audio prices on Google AI Studio

Audio input$3.00 per 1M tokens
Audio output$12.00 per 1M tokens
Web search$35.00 per 1K searches

What Gemini Live 2.5 Flash Preview Native Audio costs in practice

1,000 requests with 2,000 input and 500 output tokens each

Google AI Studio$2.00
Google Vertex AI$2.00

100 long-document requests with 100,000 input and 2,000 output tokens each

Google AI Studio$5.40
Google Vertex AI$5.40

Gemini Live 2.5 Flash Preview Native Audio features

Input: text, image, audio, video. Output: text, audio.

Use Gemini Live 2.5 Flash Preview Native Audio with LiteLLM

Call Gemini Live 2.5 Flash Preview Native Audio through the LiteLLM Python SDK, or put it behind the LiteLLM proxy and send OpenAI-format requests to /v1/realtime. LiteLLM tracks the cost of every request at these prices.

Python SDK
from litellm import completion

response = completion(
    model="gemini/gemini-live-2.5-flash-preview-native-audio-09-2025",
    messages=[{"role": "user", "content": "Hello!"}],
)
Proxy config.yaml
model_list:
  - model_name: gemini-live-2.5-flash-preview-native-audio
    litellm_params:
      model: gemini/gemini-live-2.5-flash-preview-native-audio-09-2025
      api_key: os.environ/GEMINI_API_KEY
Call the proxy
curl http://0.0.0.0:4000/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer sk-1234" \
  -d '{
    "model": "gemini-live-2.5-flash-preview-native-audio",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Gemini Live 2.5 Flash Preview Native Audio FAQ

How much does Gemini Live 2.5 Flash Preview Native Audio cost?

Gemini Live 2.5 Flash Preview Native Audio costs $0.50 per 1M input tokens and $2.00 per 1M output tokens on Google AI Studio.

What is the context window of Gemini Live 2.5 Flash Preview Native Audio?

Gemini Live 2.5 Flash Preview Native Audio has a 1,048,576-token context window and returns up to 65,535 tokens per response.

Which providers offer Gemini Live 2.5 Flash Preview Native Audio?

Gemini Live 2.5 Flash Preview Native Audio is available from 2 providers through LiteLLM: Google AI Studio and Google Vertex AI.

How do I call Gemini Live 2.5 Flash Preview Native Audio with an OpenAI-compatible API?

Use the LiteLLM Python SDK with model="gemini/gemini-live-2.5-flash-preview-native-audio-09-2025", or add the model to the LiteLLM proxy's config.yaml and send requests to /v1/realtime from any OpenAI client. LiteLLM tracks the cost of every request at the prices on this page.

What features does Gemini Live 2.5 Flash Preview Native Audio support?

Gemini Live 2.5 Flash Preview Native Audio supports function calling, parallel tool calls, structured output, image input, PDF input, audio input, audio output and web search. It does not support prompt caching.

When did LiteLLM add Gemini Live 2.5 Flash Preview Native Audio?

Gemini Live 2.5 Flash Preview Native Audio was added to LiteLLM's model price file in November 2025.

Sources

Prices come from LiteLLM's open-source model_prices_and_context_window.json, which LiteLLM uses to calculate the cost of every request. Provider pricing pages:

LiteLLM docs: Google AI Studio, Google Vertex AI.

Provider pages: Google AI Studio, Google Vertex AI.