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Gemini 4 Argon

Name: Gemini 4 Argon
Author: Google

by Google

Gemini 4 Argon is Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents. Goo

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Models

Gemini 4 Argon

Added 14 Oct 2026

#google

Overview

Gemini 4 Argon is Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents. Google trained it to keep context across...

Best for

Best for
Multimodal reasoning with long inputs

How to use / API access

Call via OpenRouter with model id `google/gemini-4-argon`.

openrouter · google/gemini-4-argon Docs

OpenRouter id: google/gemini-4-argon

Benchmarks

Intelligence Index (artificial-analysis): 52.6 index
Design Arena 3d (other): 1389 elo · #7
Design Arena codecategories (other): 1329 elo · #8
Design Arena dataviz (other): 1349 elo · #5
Design Arena gamedev (other): 1371 elo · #6

Notes

Gemini 4 Argon is listed in the EDNA Models directory from the OpenRouter catalogue.

Pros

Reviewing a supplied report alongside charts
audio, file, image, text, video input; text output on the listed OpenRouter route

Cons

Confusing video input understanding with video generation
Assuming the advertised maximum context guarantees recall
Base text-token rates exclude other modalities, tools, caching, retries and any hosting-specific charges. Check actual usage before comparing cost per successful task.

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USAGE / OPENROUTER

How much Gemini 4 Argon is used

Tokens processed through OpenRouter each day. It shows what developers actually run, not every company's private traffic.

Tokens, last 7 days: 768B
Requests, last 7 days: 12.4M
Tool calls, last 7 days: 4M
Intelligence score: 52.6
People's vote: 1532
Average cost per request: $2.35
Price per million tokens: $2 in · $10 out

See where it ranks on the leaderboard →

MODEL FIELD GUIDE / SOURCE EVIDENCE

What you can do with Gemini 4 Argon.

Specifications reviewed; no EDNA task evaluation has been run. Sources checked 2026-10-20. Hosting routes and app features can differ.

DeveloperGoogle

Exact model identifiergoogle/gemini-4-argon

Inputaudio, file, image, text, video

Outputtext

Tool calling: Listed support
Structured output: Listed support
Reasoning controls: Listed support
Availability: available
Price basis: token
Licence verification: Check the developer licence; the model name is insufficient

Base text-token rates exclude other modalities, tools, caching, retries and any hosting-specific charges. Check actual usage before comparing cost per successful task.

Consider it for

Reviewing a supplied report alongside charts
Planning tool-assisted analysis with explicit source boundaries

Watch for

Confusing video input understanding with video generation
Assuming the advertised maximum context guarantees recall

PRACTICAL EXERCISE / NOT RUN BY ENTERPRISE DNA

Try the model on a small, checkable task.

Using a supplied chart and its data table, check whether a caption claiming a 40% rise is correct for values 200 and 250. Cite the visible figures and flag conflicts.

Check the result: It computes 25%, identifies the incorrect caption and does not invent unreadable chart values.

Compare another approach

anthropic claude sonnet 5 5 ↗openai gpt 6 1 sol ↗

Inspect the sources and their scope

provider source ↗

Developer documentation for model family or task. OpenRouter route-specific properties remain catalogue claims; EDNA has not executed a task evaluation.

Checked 2026-10-19

catalogue source ↗

google/gemini-4-argon: listed route capabilities, availability and prices; provider endpoints can differ.

Checked 2026-10-20

How to evaluate a model for your work →

FROM SPECIFICATIONS TO YOUR WORK

Is this the right model for your job?

Start with a realistic sample. These workflows match the model’s listed capabilities, not a verified result on your task.

Write a clear business documentWorkflow & starter prompt ↗Analyse a spreadsheetWorkflow & starter prompt ↗Research a companyWorkflow & starter prompt ↗Extract document dataWorkflow & starter prompt ↗Run a reliable agentWorkflow & starter prompt ↗

Check the source

Price date: 2026-10-20. Prices are USD API token rates. Your app subscription, uploads, browsing and tools are separate.

Model source & availability ↗

Understand the evidence

Listed capabilities and third-party benchmark scores do not establish Enterprise DNA task-test results. Validate accuracy and total cost on your own sample.

Intelligence Index: 52.6 (2026-10-18) ↗

Compare this model with alternatives →