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Models · Reasoning

Gemini 4 Argon

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.

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Our verdict

Not reviewed yet

We have not reviewed Gemini 4 Argon yet

No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.

How we review records

From the listing

About Gemini 4 Argon

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.

Best for

Multimodal reasoning with long inputs

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.

Key facts

What we have checked

Input price
$2.00 per million tokens
Checked OpenRouter models API
Output price
$10.00 per million tokens
Checked OpenRouter models API
Price on google-ai-studio
$0.050 per million cached input tokens
Checked OpenRouter models API
Price on google-ai-studio
$1.00 per million input tokens
Checked OpenRouter models API
Price on google-ai-studio
$5.00 per million output tokens
Checked OpenRouter models API
Price on google-vertex
$0.100 per million cached input tokens
Checked OpenRouter models API
Price on google-vertex
$2.00 per million input tokens
Checked OpenRouter models API
Price on google-vertex
$10.00 per million output tokens
Checked OpenRouter models API
Latest version
google/gemini-4-argon-20261013
Checked OpenRouter models API
Gpqa diamond
96.4% (for 30 Sept 2026)
Checked Epoch AI (CC BY 4.0)
Frontiermath tiers 1 3 v2 private
86% (for 30 Sept 2026)
Checked Epoch AI (CC BY 4.0)
Simpleqa verified
76% (for 30 Sept 2026)
Checked Epoch AI (CC BY 4.0)

Each value shows when we last confirmed it and where it came from. Values we have not confirmed are left out, never guessed.

API access

How to call it

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

  • openrouter · google/gemini-4-argon · Docs

OpenRouter id: google/gemini-4-argon

Price

What Gemini 4 Argon costs, over time

Input price

$2.00 to $2.00

US dollars per million input tokens. 14 Oct 2026 to 7 Nov 2026, 18 days.

Source: OpenRouter models API. Checked .

Output price

$10.00 to $10.00

US dollars per million output tokens. 14 Oct 2026 to 7 Nov 2026, 18 days.

Source: OpenRouter models API. Checked .

Prices by host

HostPriceOver timeChecked
google-ai-studioCached input$0.050 per million cached input tokensSince 24 Oct 2026No change recordedOpenRouter models API
google-ai-studioInput$1.00 per million input tokensSince 24 Oct 2026No change recordedOpenRouter models API
google-ai-studioOutput$5.00 per million output tokensSince 24 Oct 2026No change recordedOpenRouter models API
google-vertexCached input$0.100 per million cached input tokensSince 24 Oct 2026No change recordedOpenRouter models API
google-vertexInput$2.00 per million input tokensSince 24 Oct 2026No change recordedOpenRouter models API
google-vertexOutput$10.00 per million output tokensSince 24 Oct 2026No change recordedOpenRouter models API

Usage

How much Gemini 4 Argon is used

Tokens served a day

39.7B to 137.6B

tokens a day on OpenRouter. 13 Oct 2026 to 7 Nov 2026, 26 readings.

Source: OpenRouter model activity (741 of 741 series). Checked .

Scores

How Gemini 4 Argon scores

Each score comes from the named source and shows when we last confirmed it. A flag means the score needs care.

ScoreValueSourceChecked
Artificial Analysis Intelligence Index50.4indexAs of 7 Nov 2026Artificial Analysis via OpenRouter
LMArena text rating (Elo)1,530EloAs of 7 Nov 2026LMArena (CC-BY-4.0), published 2026-11-06
LMArena web development rating (Elo)1,683EloAs of 7 Nov 2026LMArena (CC-BY-4.0), published 2026-11-06
Design Arena rating (Elo)1,382EloAs of 7 Nov 2026Design Arena via OpenRouter
Apex agents (best-across-versions)82.4percentAs of 30 Sept 2026Epoch AI (CC BY 4.0)
Arc agi (best-across-versions)98.5percentAs of 30 Sept 2026Epoch AI (CC BY 4.0)
Arc agi 2 (best-across-versions)91.3percentAs of 30 Sept 2026Epoch AI (CC BY 4.0)
Chess puzzles (best-across-versions)59percentAs of 30 Sept 2026Epoch AI (CC BY 4.0)
Dtbench (best-across-versions)97.6percentAs of 30 Sept 2026Epoch AI (CC BY 4.0)
Ebr bench (best-across-versions)64.8percentAs of 30 Sept 2026Epoch AI (CC BY 4.0)
Frontiercode (best-across-versions)47.6percentAs of 30 Sept 2026Epoch AI (CC BY 4.0)
Frontiermath tier 4 v2 private (best-across-versions)78percentAs of 30 Sept 2026Epoch AI (CC BY 4.0)
Show 11 more scores
ScoreValueSourceChecked
Frontiermath tiers 1 3 v2 private (best-across-versions)86percentAs of 30 Sept 2026Epoch AI (CC BY 4.0)
Frontierswe (best-across-versions)55percentAs of 30 Sept 2026Epoch AI (CC BY 4.0)
Furniture assembly (best-across-versions)72.5percentAs of 30 Sept 2026Epoch AI (CC BY 4.0)
Gpqa diamond (best-across-versions)96.4percentAs of 30 Sept 2026Epoch AI (CC BY 4.0)
Lmca (best-across-versions)63.7percentAs of 30 Sept 2026Epoch AI (CC BY 4.0)
Mirrorcode (best-across-versions)58.9percentAs of 30 Sept 2026Epoch AI (CC BY 4.0)
Mystery game puzzles (best-across-versions)64percentAs of 30 Sept 2026Epoch AI (CC BY 4.0)
Otis mock aime 2024 2025 (best-across-versions)Saturated100percentAs of 30 Sept 2026Epoch AI (CC BY 4.0)
Proofbench (best-across-versions)99percentAs of 30 Sept 2026Epoch AI (CC BY 4.0)
Simpleqa verified (best-across-versions)76percentAs of 30 Sept 2026Epoch AI (CC BY 4.0)
Weirdml v3 (best-across-versions)41.4percentAs of 30 Sept 2026Epoch AI (CC BY 4.0)
Saturated
Top models score close to the maximum, so this test no longer separates them.

Compare

Compare Gemini 4 Argon side by side

Sources

Where this comes from

A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.

Changelog

What changed

No changes recorded yet. Releases, price changes and deprecations appear here, with their dates, once we track them for this record.

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
1.2T ▲11.3%
Requests, last 7 days
28.6M
Tool calls, last 7 days
7.3M
Intelligence score
50.4
People's vote
1530
Average cost per request
$3.80
Price per million tokens
$2 in · $10 out
0250B500B13 Oct: 39.7B tokens, 586K requests14 Oct: 151B tokens, 2.5M requests15 Oct: 146B tokens, 2.2M requests16 Oct: 169B tokens, 2.5M requests17 Oct: 131B tokens, 2.5M requests18 Oct: 132B tokens, 2M requests19 Oct: 128B tokens, 2.8M requests20 Oct: 143B tokens, 2.9M requests21 Oct: 139B tokens, 2.7M requests22 Oct: 162B tokens, 2.8M requests23 Oct: 173B tokens, 4.1M requests24 Oct: 116B tokens, 2.3M requests25 Oct: 74.6B tokens, 1.9M requests26 Oct: 121B tokens, 2.4M requests27 Oct: 136B tokens, 2.5M requests28 Oct: 136B tokens, 2.7M requests29 Oct: 210B tokens, 4.1M requests30 Oct: 283B tokens, 4.5M requests31 Oct: 130B tokens, 4.1M requests1 Nov: 143B tokens, 3.8M requests2 Nov: 160B tokens, 3.5M requests3 Nov: 201B tokens, 5.5M requests4 Nov: 184B tokens, 4.5M requests5 Nov: 205B tokens, 3.9M requests6 Nov: 183B tokens, 3.9M requests7 Nov: 138B tokens, 3.3M requests13 Oct27 Oct7 NovSee 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 2026-11-07. 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
Context length
1M tokens
Knowledge cutoff
Not established
Developer release date
Not established
First seen in the catalogue
13 Oct 2026
Listed retirement date
Not established

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 2026-11-07
openrouter.ai ↗

Source for reasoning controls, first seen, tool calling, context length, input, output, structured output.

Checked 2026-11-07
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 ↗

What would it cost?

Pick a common job and how many times a month you run it. Token sizes are our assumption for a typical run, shown under the result.

Working out the cost...

Token prices only. Per-request, image, tool, storage and subscription fees are not included. One token is about three quarters of an English word. Real counts vary by model and language. How tokens are counted ↗

Check the source

Price date: 7 Nov 2026, from OpenRouter models API. 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: 50.4 (2026-11-06) ↗Vals Index: 69.237 (2026-11-06) ↗Design Arena: 1382 (2026-11-06) ↗
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