Google Gemini via VerticalAPI

Connect Gemini 2.5 Pro and Flash via VerticalAPI's OpenAI-compatible endpoint. BYOK with your Google AI Studio or Vertex key, zero markup, multimodal in/out.

Start free with your Google Gemini key → Read the docs

Endpoint: https://api.verticalapi.com/v1/chat/completions · BYOK header: X-Provider-Key: AIza...

Supported models

Google Gemini models routed by VerticalAPI

Pass the model ID below as model in any OpenAI-compatible request. New Google Gemini models are typically supported within 24h of release.

Model ID	Name	Context	Pricing (provider)
`gemini-2.5-pro`	Gemini 2.5 Pro	2M	$1.25 / $10 per 1M tok
`gemini-2.5-flash`	Gemini 2.5 Flash	1M	$0.30 / $2.50 per 1M tok
`gemini-2.5-flash-8b`	Gemini 2.5 Flash-8B	1M	$0.075 / $0.30 per 1M tok — cheapest

Pricing reflects Google Gemini's rates — you pay Google Gemini directly. VerticalAPI adds zero markup on tokens.

Quickstart

5-line Google Gemini call via VerticalAPI

Drop-in replacement for the OpenAI SDK. Works with the OpenAI Python client, Node, Go, curl — anything that speaks HTTP.

                google_quickstart.py
                Python
            
from openai import OpenAI

client = OpenAI(
    base_url="https://api.verticalapi.com/v1",
    api_key="vapi_...",
    default_headers={"X-Provider-Key": "AIza..."}
)

response = client.chat.completions.create(
    model="gemini-2.5-flash",  # Google Gemini
    messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)

Why use Google Gemini via VerticalAPI

Four reasons developers route Google Gemini through us

Zero token markup

You pay Google Gemini directly with your own key. VerticalAPI's revenue is the gateway subscription, not a tax on your tokens.

One key, every provider

Google Gemini alongside OpenAI, Anthropic, Gemini and 12 more — same OpenAI-compatible endpoint, same SDK, switchable per-request.

Latency & cost monitoring

Per-request token counts, p50/p95 latency and cost dashboards out of the box. Compare Google Gemini to other providers on identical prompts.

Observability built in

Every Google Gemini call gets a trace ID, replayable payload and audit log entry. Wire to Datadog or Sentry via OpenTelemetry.

Best for

Where Google Gemini shines

massive context (2M tokens) multimodal video/audio low-cost batch Vertex AI deployment

FAQ

Common questions about Google Gemini on VerticalAPI

Studio key or Vertex AI key?

Both work. AI Studio keys (AIza...) hit generativelanguage.googleapis.com. For Vertex AI, configure your service-account credentials in the dashboard and VerticalAPI will route via Vertex.

Can I send images and video to Gemini?

Yes. The OpenAI vision message format (image_url with data: URIs or HTTPS URLs) is translated to Gemini's inline_data parts. Video and audio are also supported.

What's the 2M context window for?

Gemini 2.5 Pro accepts up to 2M tokens of context — useful for full codebases, long PDFs, or multi-hour video. Pricing scales with input tokens, so use Flash-8B for cheap large-context calls.

Switch providers

All supported LLM providers

Same endpoint, same SDK — just change the model and the BYOK header.

OpenAI Anthropic Google Gemini Mistral AI Meta Llama xAI Grok Groq Together AI Fireworks AI Perplexity Sonar Cohere AI21 Labs AWS Bedrock Azure OpenAI Google Vertex AI

Ship on Google Gemini in 60 seconds

Free tier — bring your own Google Gemini key, zero markup, OpenAI-compatible endpoint.

Get your VerticalAPI key →