Model access

Gemini API access for OpenAI SDK based apps

Gemini models are useful for teams evaluating Google model quality, multimodal workflows and broad reasoning tasks. PEKPIK LLM makes Gemini easier to test in apps that already use OpenAI-compatible clients.

Request access Read quickstart View model catalog

Primary query

Gemini API

Why teams search for this

Evaluate Gemini without creating a separate provider-specific code path.

Compare output quality and cost against other models through one pricing surface.

Keep model routing configurable for experiments and production fallback.

Use the same docs workflow your developers already know from OpenAI-style APIs.

Where PEKPIK fits

Good fit

OKMultimodal or reasoning tests where Gemini is a candidate model.
OKApplications that need Google model access plus non-Google fallbacks.
OKTeams reducing SDK and billing fragmentation.

Check first

!Some Gemini-native capabilities may not map exactly to OpenAI-compatible routes.
!Media support should be tested per endpoint and model ID.
!Live availability can change as model catalogues update.

OpenAI-compatible example

base_url swap

from openai import OpenAI

client = OpenAI(
    base_url="https://aiapiv2.pekpik.com/v1",
    api_key="sk-...",
)

response = client.chat.completions.create(
    model="gemini",
    messages=[{"role": "user", "content": "Summarize this for a product team."}],
)

Suggested rollout

01

Pick one Gemini model from /model_catalog.json for your target task.
02

Run the same prompt set against your current model and the Gemini candidate.
03

Compare quality, cost and latency before exposing it to users.
04

Keep fallback model IDs in configuration for fast rollback.

FAQ

Can Gemini be called with OpenAI-style requests?

PEKPIK exposes supported models through an OpenAI-compatible gateway, so common app flows can stay close to existing OpenAI SDK patterns.

Is PEKPIK replacing Google AI Studio or Vertex AI?

No. PEKPIK is a gateway option for teams that prioritize one API surface across many model families.