Gemini Live 2.5 Flash preview Native Audio 09.2025

Google Vertex AI realtime

Gemini Live 2.5 Flash preview Native Audio 09.2025 is a Google Vertex AI realtime audio model.It supports a 1,048,576-token context windowwith up to 65,535 output tokens.Input is priced at $0.300/M tokens and output at $2.00/M tokens. Capabilities include function calling, vision, audio input, prompt caching. Route Gemini Live 2.5 Flash preview Native Audio 09.2025 via Future AGI's Agent Command Center for unified observability, caching, and 15 routing strategies including cost-optimized fallback.

Pricing source: litellm Last verified: May 12, 2026 View source ↗
Cost calculator

Estimate Gemini Live 2.5 Flash preview Native Audio 09.2025 spend

Pick a workload, fine-tune the sliders, and see the monthly bill.

~3K in / ~400 out · 5K req/day
3,000
01,048,576
400
065,535
5,000
01,000,000
cached @ $0.0750/M
Per request
$0.001700
in $0.000900 · out $0.000800
Per day
$8.50
5,000 requests
Per month
$259
152,188 requests

Estimate uses $0.3000/M input · $2.00/M output. Provider pricing changes. Production costs vary with retries, streaming overhead, and tool-call rounds.
Want this for free? Cache + route via Agent Command Center — first 100K requests and 100K cache hits free every month.

Pricing

Per-token rates, expressed in USD per 1M tokens. Verified May 12, 2026.

Input $0.300/M
Output $2.00/M
Cached input $0.0750/M

Limits

Context window
1,048,576 tokens
Max input
1,048,576 tokens
Max output
65,535 tokens
Modalities
vision, audio_in, audio_out, pdf, text

Capabilities

  • Function calling ✓ supported
  • Parallel tool calls ✓ supported
  • Vision input ✓ supported
  • Audio input ✓ supported
  • Audio output ✓ supported
  • PDF input ✓ supported
  • Streaming ✓ supported
  • Structured output ✓ supported
  • Prompt caching ✓ supported
  • Reasoning — not advertised

Where it's strong

  • +pricing — cheaper than 100% of priced realtime models on Future AGI
  • +long-form generation — 65,535-token max output, top-0% of peers

Watch out for

  • No major caveats flagged from public spec.

Benchmarks pending

We haven't logged public benchmark scores for Gemini Live 2.5 Flash preview Native Audio 09.2025 yet. Have one to contribute? Submit a source — citations help us prioritise.

Try it

Call Gemini Live 2.5 Flash preview Native Audio 09.2025 via Agent Command Center

One OpenAI-compatible endpoint. Routing, fallback, semantic caching, guardrails, and cost tracking come along for the ride. First 100K requests + 100K cache hits free every month.

SDK
Native Future AGI client (agentcc / @agentcc/client). Per-call metadata — provider, cost, latency, cache hit, request id — is returned on x-agentcc-* response headers, so any HTTP client can read it.
# Gemini Live 2.5 Flash preview Native Audio 09.2025 via the Agent Command Center Python SDK
# pip install agentcc
import os
from agentcc import AgentCC

client = AgentCC(
    api_key=os.environ["AGENTCC_API_KEY"],   # from app.futureagi.com → Settings → API Keys
    base_url="https://gateway.futureagi.com/v1",
)

resp = client.chat.completions.create(
    model="vertex-ai/gemini-live-2-5-flash-preview-native-audio-09-2025",
    messages=[{"role": "user", "content": "Hello, Gemini Live 2.5 Flash preview Native Audio 09.2025!"}],
)

print(resp.choices[0].message.content)
print(f"Tokens: {resp.usage.total_tokens}")

# Per-call gateway metadata is returned on x-agentcc-* response headers.
# When you need it programmatically, use .with_raw_response to get them:
raw = client.chat.completions.with_raw_response.create(
    model="vertex-ai/gemini-live-2-5-flash-preview-native-audio-09-2025",
    messages=[{"role": "user", "content": "Same call, but I want the headers."}],
)
print("Provider:", raw.headers.get("x-agentcc-provider"))
print("Latency:", raw.headers.get("x-agentcc-latency-ms"), "ms")
print("Cost:   ", raw.headers.get("x-agentcc-cost"), "USD")
print("Cache:  ", raw.headers.get("x-agentcc-cache"))
Set AGENTCC_API_KEY with a key fromapp.futureagi.com.Gateway docs ↗

Same model on other providers

gemini-live-2-5-flash-preview-native-audio-09-2025 is also available via 1 other route. Pricing, regions, and capabilities can differ — compare before routing production traffic.

ProviderInput / 1MOutput / 1MVerified
Google AI$0.300/M$2.00/MMay 12, 2026

FAQ

How much does Gemini Live 2.5 Flash preview Native Audio 09.2025 cost?

Input is priced at $0.300 per 1M tokens and output at $2.00 per 1M tokens (Google Vertex AI, last verified May 12, 2026).

What is the context window of Gemini Live 2.5 Flash preview Native Audio 09.2025?

Gemini Live 2.5 Flash preview Native Audio 09.2025 supports a 1,048,576-token context window with up to 65,535 output tokens.

Does Gemini Live 2.5 Flash preview Native Audio 09.2025 support function calling?

Yes — Gemini Live 2.5 Flash preview Native Audio 09.2025 supports function (tool) calling, including parallel tool calls.

Is Gemini Live 2.5 Flash preview Native Audio 09.2025 good for production?

Gemini Live 2.5 Flash preview Native Audio 09.2025 is well-suited for pricing — cheaper than 100% of priced realtime models on Future AGI and long-form generation — 65,535-token max output, top-0% of peers.

How can I route to Gemini Live 2.5 Flash preview Native Audio 09.2025 with fallback?

Use Agent Command Center: a single OpenAI-compatible endpoint that supports cost-optimized routing, latency-aware retries, model fallback, and shadow traffic. Configure once, swap models without app changes.

Useful links for Gemini Live 2.5 Flash preview Native Audio 09.2025

Official sources, independent benchmarks, and pricing aggregators — no random search-engine guesses.