Gemini 3.5 Transcribe Live preview
Google Vertex AI audio transcriptionGemini 3.5 Transcribe Live preview is a Google Vertex AI speech-to-text model.Input is priced at $3.50/M tokens and output at $21.00/M tokens. Capabilities include audio input. Route Gemini 3.5 Transcribe Live preview via Future AGI's Agent Command Center for unified observability, caching, and 15 routing strategies including cost-optimized fallback.
Estimate Gemini 3.5 Transcribe Live preview spend
Pick a workload, fine-tune the sliders, and see the monthly bill.
Estimate uses $3.50/M input · $21.00/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 Oct 22, 2026.
| Input | $3.50/M | |
| Output | $21.00/M | |
| Blended (3:1 in:out) | $7.88/M Cross-model comparable price |
Context & limits
- Context window
- —
- Max input
- —
- Max output
- —
- Modalities
- audio_in, audio, text
Capabilities
- Function calling — not advertised
- Parallel tool calls — not advertised
- Vision input — not advertised
- Audio input ✓ supported
- Audio output — not advertised
- PDF input — not advertised
- Streaming ✓ supported
- Structured output — not advertised
- Prompt caching — not advertised
- Reasoning — not advertised
Strengths & caveats — when to pick Gemini 3.5 Transcribe Live preview
Data-driven from Gemini 3.5 Transcribe Live preview's percentile within audio transcription peers.
Where it's strong
- +pricing — cheaper than 100% of priced audio transcription models on Future AGI
- +audio input — only 17% of audio transcription models on Future AGI advertise this
Watch out for
- No major caveats flagged from public spec.
Benchmarks pending
We haven't logged public benchmark scores for Gemini 3.5 Transcribe Live preview yet. Have one to contribute? Submit a source — citations help us prioritise.
Call Gemini 3.5 Transcribe Live preview 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.
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 3.5 Transcribe Live preview 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-3-5-transcribe-live-preview",
messages=[{"role": "user", "content": "Hello, Gemini 3.5 Transcribe Live preview!"}],
)
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-3-5-transcribe-live-preview",
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"))AGENTCC_API_KEY with a key fromapp.futureagi.com.Gateway docs ↗Explore similar models
Gemini 3.5 Transcribe Live preview doesn't have a public Arena ELO score yet, so we group by provider only — quality-tier comparisons need a benchmark. Side-by-side links appear where a comparison page exists; otherwise, open the model profile.
FAQ
How much does Gemini 3.5 Transcribe Live preview cost?
Input is priced at $3.50 per 1M tokens and output at $21.00 per 1M tokens (Google Vertex AI, last verified Oct 22, 2026).
What is the context window of Gemini 3.5 Transcribe Live preview?
Context window for Gemini 3.5 Transcribe Live preview is not currently public.
Does Gemini 3.5 Transcribe Live preview support function calling?
Gemini 3.5 Transcribe Live preview does not currently advertise function-calling support. For agentic workloads, prefer a tool-calling-capable model and route via Agent Command Center for fallback.
Is Gemini 3.5 Transcribe Live preview good for production?
Gemini 3.5 Transcribe Live preview is well-suited for pricing — cheaper than 100% of priced audio transcription models on Future AGI and audio input — only 17% of audio transcription models on Future AGI advertise this.
How can I route to Gemini 3.5 Transcribe Live preview 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 3.5 Transcribe Live preview
Official sources, independent benchmarks, and pricing aggregators — no random search-engine guesses.
Third-party evals — verify the marketing.
Cross-check our number against the rest of the ecosystem.