Gemini API Gateway: Models, Pricing & Code

Use one Gemini Generate Content-compatible integration for all seven Gemini models available through APIXO. Configure the APIXO base URL and API key once, then switch models by changing the model ID in the request URL or SDK call.

Google now recommends the newer Interactions API for new direct Gemini integrations and labels Generate Content as legacy. APIXO’s currently published Gemini gateway still uses the generateContent request format documented here. Do not send Interactions API payloads to this endpoint unless APIXO explicitly adds support.

This page includes the complete APIXO Gemini model and pricing snapshot verified on August 3, 2026. Model availability and pricing can change, so check the APIXO Gemini model page before making billing-sensitive decisions.

Choose your integration path: Use the Quickstart to integrate manually, or let an AI implement it by copying this page or using APIXO MCP.

Compare Gemini models and pricing

Choose the model that fits the workload, then use its exact model ID in any example on this page.

Model	Model ID	Recommended for	Input	Output	Cache write	Cache read	Savings
Gemini 3.5 Flash	`gemini-3.5-flash`	Latest Flash model for general-purpose, multimodal, and higher-throughput workloads	$0.9	$5.4	$0.09	$0.09	40%
Gemini 3.1 Pro Preview	`gemini-3.1-pro-preview`	Complex reasoning and multimodal work that benefits from the Pro tier	$1.2	$7.2	—	$0.12	40%
Gemini 3.1 Flash-Lite Preview	`gemini-3.1-flash-lite-preview`	Low-cost preview workloads and lightweight high-volume tasks	$0.15	$0.9	—	$0.015	40%
Gemini 3 Flash Preview	`gemini-3-flash-preview`	Existing Gemini 3 Flash Preview integrations	$0.3	$1.8	—	$0.03	40%
Gemini 2.5 Pro	`gemini-2.5-pro`	Established Gemini 2.5 Pro reasoning and multimodal integrations	$0.75	$6	—	$0.075	40%
Gemini 2.5 Flash	`gemini-2.5-flash`	Established balanced Gemini 2.5 workloads	$0.18	$1.5	—	$0.018	40%
Gemini 2.5 Flash-Lite	`gemini-2.5-flash-lite`	Lowest-cost Gemini option in this table for routine, high-volume tasks	$0.06	$0.24	—	$0.006	40%

Prices are in USD per 1 million tokens. — means APIXO does not publish a separate cache-write price for that model. Prices verified: 2026-08-03. See the APIXO Gemini model page for the current rate card.

Start with Gemini 3.5 Flash for the latest general-purpose Flash option, Gemini 3.1 Pro Preview for more complex work, or Gemini 3.1 Flash-Lite Preview when preview access at a lower cost matters. Keep a Gemini 2.5 ID when your application intentionally targets that family.

What to change

Setting	APIXO value
SDK Base URL	`https://llm.apixo.ai`
Raw HTTP path	`POST /v1beta/models/{model}:generateContent`
Request URL	`https://llm.apixo.ai/v1beta/models/{model}:generateContent`
API key	`APIXO_API_KEY` from APIXO API Keys
API key header	`x-goog-api-key`
API key value	`$APIXO_API_KEY`
Model location	URL path `{model}` for REST; SDK `model` argument

Quickstart

export APIXO_API_KEY="your_apixo_api_key"

cURL
JavaScript
Python

curl -X POST "https://llm.apixo.ai/v1beta/models/gemini-3.5-flash:generateContent" \
  -H "x-goog-api-key: $APIXO_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "contents": [
      {
        "role": "user",
        "parts": [{"text": "Say hello in one sentence."}]
      }
    ]
  }'

import { GoogleGenAI } from "@google/genai";

const ai = new GoogleGenAI({
  apiKey: process.env.APIXO_API_KEY,
  httpOptions: { baseUrl: "https://llm.apixo.ai" }
});

const response = await ai.models.generateContent({
  model: "gemini-3.5-flash",
  contents: "Say hello in one sentence."
});

console.log(response.text);

import os
from google import genai
from google.genai import types

client = genai.Client(
    api_key=os.environ["APIXO_API_KEY"],
    http_options=types.HttpOptions(base_url="https://llm.apixo.ai"),
)

response = client.models.generate_content(
    model="gemini-3.5-flash",
    contents="Say hello in one sentence.",
)

print(response.text)

The examples use gemini-3.5-flash. For REST, replace the model ID in the URL path. For the SDKs, change the model argument.

Let an AI implement it

Copy this page to an AI

Use the Copy page button in the page menu, paste the copied documentation into your AI coding tool, and add this prompt:

Integrate the APIXO Gemini-compatible Generate Content API into my existing
project using the documentation below.

Requirements:
- Use model gemini-3.5-flash unless my project already specifies another supported model.
- Read APIXO_API_KEY from an environment variable and keep it server-side.
- Preserve my current language, framework, and project structure.
- Add the smallest working integration and one minimal verification request.
- Do not invent endpoints, model IDs, or request fields that are not documented.

Replace gemini-3.5-flash in the prompt with any model ID from the comparison table.

Use APIXO MCP

APIXO MCP reads APIXO’s published machine-readable model catalog and schemas. The gemini schema includes the gateway endpoint, authentication header, supported model IDs, model guidance, and the pricing snapshot shown above. After installing APIXO MCP, ask your AI:

Use the APIXO MCP tools to find the gemini model schema. Compare the supported
Gemini models and prices, choose the best model for my stated workload, then
integrate the APIXO Gemini-compatible Generate Content API into this project.
Keep the API key server-side and add a minimal verification request.

APIXO MCP helps your AI write the integration; it does not replace the API connection used by your application.

Streaming

curl --no-buffer -X POST "https://llm.apixo.ai/v1beta/models/gemini-3.5-flash:streamGenerateContent?alt=sse" \
  -H "x-goog-api-key: $APIXO_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "contents": [
      {
        "role": "user",
        "parts": [{"text": "Stream a short hello message."}]
      }
    ]
  }'

The alt=sse query parameter requests Server-Sent Events so each response chunk can be processed as it arrives.

Supported Gemini models

Use one of these exact IDs in the REST URL path or SDK model argument.

gemini-3.5-flash
gemini-3.1-pro-preview
gemini-3.1-flash-lite-preview
gemini-3-flash-preview
gemini-2.5-pro
gemini-2.5-flash
gemini-2.5-flash-lite

To switch models, keep the same endpoint family, API key, and request format, then change only the model ID.

Troubleshooting

401: missing or invalid API key
400: invalid Gemini request body, endpoint, or unsupported model ID
429: rate limit or temporary capacity limit
502 / 504: upstream provider error or timeout

Retry 429, 502, and 504 with backoff. Fix 400 and 401 before retrying.

Open a model on APIXO

These links open the selected model on APIXO’s Gemini gateway page, where you can review its current pricing and copy model-specific code examples.

​Compare Gemini models and pricing

​What to change

​Quickstart

​Let an AI implement it

​Copy this page to an AI

​Use APIXO MCP

​Streaming

​Supported Gemini models

​Troubleshooting

​Related links

​Open a model on APIXO

Compare Gemini models and pricing

What to change

Quickstart

Let an AI implement it

Copy this page to an AI

Use APIXO MCP

Streaming

Supported Gemini models

Troubleshooting

Related links

Open a model on APIXO