Google Gemini 3 Pro preview

Perplexity responses

Google Gemini 3 Pro preview is a Perplexity responses-API model. Capabilities include function calling. Route Google Gemini 3 Pro preview via Future AGI's Agent Command Center for unified observability, caching, and 15 routing strategies including cost-optimized fallback.

Pricing source: unknown Last verified: May 12, 2026 View source ↗
Pricing not yet public

We don't have verified per-token pricing for Google Gemini 3 Pro preview yet. If you have a source from Perplexity's documentation, help us add it — your submission gets reviewed within 48 hours.

Pricing

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

Input
Output

Limits

Context window
Max input
Max output
Modalities
text

Capabilities

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

Where it's strong

  • +agentic workflows that depend on reliable tool calls

Watch out for

  • No major caveats flagged from public spec.

Benchmarks pending

We haven't logged public benchmark scores for Google Gemini 3 Pro preview yet. Have one to contribute? Submit a source — citations help us prioritise.

Try it

Call Google Gemini 3 Pro 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.

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.
# Google Gemini 3 Pro 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="perplexity/google-gemini-3-pro-preview",
    messages=[{"role": "user", "content": "Hello, Google Gemini 3 Pro 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="perplexity/google-gemini-3-pro-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"))
Set AGENTCC_API_KEY with a key fromapp.futureagi.com.Gateway docs ↗

Same model on other providers

google-gemini-3-pro-preview is also available via 2 other routes. Pricing, regions, and capabilities can differ — compare before routing production traffic.

ProviderInput / 1MOutput / 1MVerified
OpenRouter$2.00/M$12.00/MMay 12, 2026
GMI Cloud$2.00/M$12.00/MMay 12, 2026

Compare with similar models

Google Gemini 3 Pro preview doesn't have a public Arena ELO score yet, so we group by provider only — quality-tier comparisons need a benchmark.

FAQ

How much does Google Gemini 3 Pro preview cost?

Public per-token pricing for Google Gemini 3 Pro preview is not yet published. Submit a source on this page to help us add it.

What is the context window of Google Gemini 3 Pro preview?

Context window for Google Gemini 3 Pro preview is not currently public.

Does Google Gemini 3 Pro preview support function calling?

Yes — Google Gemini 3 Pro preview supports function (tool) calling.

Is Google Gemini 3 Pro preview good for production?

Google Gemini 3 Pro preview is well-suited for agentic workflows that depend on reliable tool calls.

How can I route to Google Gemini 3 Pro 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 Google Gemini 3 Pro preview

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