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Gemini 3.1 Pro API pricing

google/gemini-3.1-pro

Multimodal reasoning. Gemini 3.1 Pro by Google, called through one INFRO key alongside every other model you run. We price it 25% below Google's direct rate — the same model, the same weights, reached through a different integration.

Pricing

Per 1M tokensUSD · updated 2026-08-24

Google direct

$4.50

per 1M tokens

INFRO

$3.38

per 1M tokens

You save

25%

on every unit

Per-token rates

$1.50 / 1M input tokens·$9.00 / 1M output tokens

The headline figure above is these two blended at a 3:1 input:output ratio, so one number is comparable across modalities. Your own ratio will move it.

Illustrative launch rates, reconciled against published provider pricing on 2026-08-24. Live rates come from GET /v1/models once your key is active.

Calling Gemini 3.1 Pro

POST /v1/chat/completionsAt launch — Committed to the first release. In build now, not usable yet.
import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["INFRO_API_KEY"],
    base_url="https://api.infro.io/v1",
)

response = client.chat.completions.create(
    model="google/gemini-3.1-pro",
    messages=[{"role": "user", "content": "Hello"}],
)

What this modality supports

  • Streaming
  • Tool calling
  • Structured outputs
  • Prompt caching

Frontier and open-weight language models behind an OpenAI-compatible endpoint. Streaming, tool calling, structured outputs, and vision pass straight through — and prompt caching is billed at the provider's cached rate, so the discount compounds.

QuickstartGet a key

Alternatives for multimodal reasoning

Same modality, nearest in price. All of them share the request shape above, so comparing them is a one-word change.

Work out what Gemini 3.1 Pro would cost you

Put your current spend on this model into the calculator and see the same workload priced here — or have us read your real usage.

Calculate your savingsFree cost audit