---
title: "Gemini 4 Argon — LLM-TEST.com"
url: /models/gemini-4-argon/
canonical_url: https://llm-test.com/models/gemini-4-argon/
language: en
type: model
summary: "Google's frontier multimodal model, pairing a two-million-token window with native reasoning across text, images, audio and video. The default choice when a task spans long documents, media and code at once."
last_updated: "2026-11-05"
---

# Gemini 4 Argon

_Google · Flagship_

Google's frontier multimodal model, pairing a two-million-token window with native reasoning across text, images, audio and video. The default choice when a task spans long documents, media and code at once.

## At a glance

- Released: Sep 15, 2026
- Provider: Google
- Context window: 2,000,000 tokens
- Max output: 64,000 tokens
- Modalities: Text + image + audio + video → text
- Knowledge cutoff: March 2026
- API model ID: `gemini-4-argon`
- License: Proprietary (API only)

## Pricing

- Standard: $2 input / $10 output per 1M tokens
- Long context: $4 input / $20 output per 1M tokens
- Example: a 1,500-token prompt + 650-token answer ≈ $0.009 (standard)

## Best use cases

- **Whole-codebase reasoning** — Holds large repositories in context to trace behavior across many files without retrieval.
- **Long-form media analysis** — Summarizes and answers questions over hours of video or audio alongside supporting documents.
- **Agentic research** — Plans and executes multi-step research tasks that mix web content, PDFs and structured data.

## Strengths

- Enormous context window
- Strong native multimodality
- Robust long-context recall

## Limitations

- Premium pricing at the flagship tier
- Latency climbs on very large inputs

## Where to get access

- Consumer app: Gemini app (web, Android, iOS) — https://gemini.google.com
- API: Google AI Studio — https://aistudio.google.com
- Also available: Google Vertex AI
- Docs: https://ai.google.dev/gemini-api/docs

Full comparison and live pricing: https://llm-test.com/ · directory: https://llm-test.com/models/