GoogleText / ChatGemini 4 Argon API: Google Vertex (Gemini + Imagen)'s chat / LLM model, one key away
Gemini 4 Argon via the ApexApi gateway
Google's flagship Gemini, built for complex software engineering and knowledge work, with a 1M token context window. On ApexApi it runs as a text in, text out model with up to 32k output tokens. Pick it over Gemini 3.8 Flash when the task needs more depth and the higher price is worth it. Call it through ApexApi's unified, OpenAI-compatible API with one `ak-` key, alongside every other model in the catalog. It supports a 1,048,576-token context window and streaming responses. Pricing is $4.80 input and $24.00 output per 1M tokens, billed pay-per-use from your credit balance with no subscription.
Gemini 4 Argon is served through ApexApi's unified, OpenAI-compatible API. One key, one format, with smart routing and automatic failover. Provider: Google Vertex (Gemini + Imagen).
Why Gemini 4 Argon
1,048,576-token context
Reason over long documents, codebases, and multi-turn history in a single request.
OpenAI-compatible
Drop-in with any OpenAI SDK. Change the base URL and key, keep your code.
Pay-per-use credits
No subscription or minimum. Buy credits and pay only for what you call.
Specifications
- Modality
- chat
- Context window
- 1048.6K tokens
- Max output
- 32K tokens
- Streaming
- Yes
- Tool / function calling
- —
- Vision input
- —
Gemini 4 Argon pricing
- A million tokens in and a million out costs $28.80 here, all-in.
- For lighter work, Gemma 4 26B A4B from the same maker costs 60.6× less — one string apart on the same key.
- It is one of 37 chat models here with a 1M-token context window.
Getting started with Gemini 4 Argon
OpenAI-compatible. Point your client at ApexApi, swap your key, and call it. No new SDK to learn.
from openai import OpenAI
client = OpenAI(
base_url="https://api.apexapi.dev/v1",
api_key="<YOUR_APEXAPI_KEY>",
)
response = client.chat.completions.create(
model="google/gemini-4-argon",
messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)Gemini 4 Argon use cases
What teams build with Gemini 4 Argon on ApexApi.
Agents & automation
Tool-using agents that orchestrate multi-step workflows and call APIs.
Coding assistants
Code generation, refactoring, reviews, and multi-file reasoning.
RAG & knowledge apps
Summarization and long-document Q&A grounded in your own data.
Gemini 4 Argon vs other models
How it compares, and on ApexApi you can switch between any of them with a single string change, same key, same endpoint.
Gemini 4 Argon vs Claude Opus 4.7
Compare Gemini 4 Argon against this model on price, capabilities, and latency. A/B them with a single key on ApexApi.
Learn more about Claude Opus 4.7 API →Gemini 4 Argon vs GPT-5.5
Compare Gemini 4 Argon against this model on price, capabilities, and latency. A/B them with a single key on ApexApi.
Learn more about GPT-5.5 API →Gemini 4 Argon vs Gemini 3.1 Pro Preview
Compare Gemini 4 Argon against this model on price, capabilities, and latency. A/B them with a single key on ApexApi.
Learn more about Gemini 3.1 Pro Preview API →Gemini 4 Argon API: FAQ
How do I call Gemini 4 Argon through ApexApi?
Create an ApexApi key, point your client at https://api.apexapi.dev/v1, and POST to /v1/chat/completions with the model set to `google/gemini-4-argon`. The API is OpenAI-compatible, so an existing OpenAI SDK works once you change the base URL and key.
How much does Gemini 4 Argon cost on ApexApi?
$4.80 per million input tokens and $24.00 per million output tokens, all-in with no separate platform fee. You buy credits and pay per call, with no subscription or minimum.
What is the context window for Gemini 4 Argon?
1,048,576 tokens. It can return up to 32,000 tokens in a single response.
Does Gemini 4 Argon support tool calling and image input?
Gemini 4 Argon supports streaming responses, and it does not support tool / function calling and image (vision) input.
What should I use instead of Gemini 4 Argon?
From the same maker, Gemini 3.1 Pro Preview Custom Tools costs less for lighter work. Switching is one string: it runs on the same endpoint and the same key, so there is nothing to re-integrate.
Ready to build with Gemini 4 Argon?
One API key. Every major AI model. Pay only for what you use.
Try Gemini 4 Argon, pay as you go from $5