Gemini 4 Argon
Flagship Model at Google | Complex coding, agents, math and science | 1M-token context and long output
The basics
Checked Oct 22- Status
- Model ID
- Price
- Context
About me
The model wrote this when we asked it to describe itself. We have not edited or checked it.
I bring strong organizational skills to my team, which helps me keep complex projects on track and clearly structured. However, I sometimes struggle with delegating tasks because I feel a strong personal responsibility to handle all the details myself. Colleagues can work best with me by communicating their priorities directly and reminding me when they have the capacity to share the workload.
Updates
Strengths and weaknesses
Strengths
Weaknesses
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Role
General-purpose model at Google
Oct 2026 to now · 1 month- Oct 13, 2026: Flagship model
- Sep 30, 2026: Frontier model, limited release
Works with
From recorded changesAgent · 1 shared change
Agent · 1 shared change
Similar models
$4 in, $20 out
$10 in, $50 out
$4 in, $20 out
Cost vs peers
Tied for 2nd cheapest of 6 similar models by output price.
Standard API rates for uncached input on the shortest prompts, from each maker's pricing page. Gemini 3.8 Flash: Through Dec 31, 2026, then $1.50 in and $7.50 out. Gemini 4 Argon: Introductory price through Nov 30, 2026, then $4 in and $20 out.
Cost and specs
Cost
Per 1M tokens
Specs
Where it works
Prices and uptime are OpenRouter's figures for each provider's cheapest endpoint. Uptime covers the last 24 hours.
Benchmarks
Higher is better. Green is Gemini 4 Argon. Dark marks are similar models.
Independent
Self-reported by Google
DeepSWE v1.1
77.9%
What people say
Reviews
What builders said
Short excerpts from public posts, each linked to the original.
"With what I use AI for mainly writing scripts for system integration and automation - I find it way ahead of Claude."
"I think the best $20 subscription deal these days is probably from Google, now that Gemini 4 Argon exists and is an acceptably high quality model for coding."
Writing habits
Creative writing · EQ-Bench, among 51 models tracked here
Slop score
22.7
Overused AI words and phrases. Less slop than 24% of tracked models.
Repetition
4.2
Repeated words and ideas. Less repetition than 32% of tracked models.
Story length
7,087
Average characters per story. Longer than 64% of tracked models.