How Good is Gemini 4 Argon? Users Share Real Examples

Google built an AI model that can think for hours, and people are already testing it on wild projects. Some results are surprising. Here is what the model is and what users made with it.

Gemini 4 Argon Is Google's New Frontier AI Model

Gemini 4 Argon is Google's newest top-tier AI model, built to handle long and complex tasks. The company revealed it on September 30, 2026. The model was released more widely on October 13, 2026.

Gemini 4 Argon can write, reason, and fix code across long projects without losing track of the goal. Google also says it handles chart analysis, long videos, and documents, so it can take action based on what it sees.

The company points to three main strengths. These are coding, enterprise work such as legal drafting and financial research, and finding and fixing security flaws in software.

Google says thousands of its employees already use Argon for coding, research, and writing. In one case, the model helped quantum computing researchers beat a published baseline by 40% in a matter of minutes.

The biggest change is the output limit. Google raised it to 1 million tokens, up from 64,000 tokens in the earlier version.

Argon also has a cybersecurity focus. Google trained it to find, check, and patch serious software flaws on its own. For trusted defenders and its own teams, Google is releasing the model without cyber guardrails so they can use its full defensive power.

Google says Argon sets a new best score of 77.9% on DeepSWE v1.1, a test of long, real-world software engineering tasks. It also leads the Vals Index, which measures work in finance, coding, legal, and tax areas.

Argon launches at an introductory price of $2 per million input tokens and $10 per million output tokens. Cached input tokens, which are pieces of text the model has already seen, cost 95% less than the normal input price.

The introductory price will not last forever. After it ends, Google will charge $4 per million input tokens and $20 per million output tokens.

Gemini 4 Argon Real Examples From Users

Creators and developers have shared many projects made with Gemini 4 Argon. Below are 8 wonderful examples.

Example 1: Live Earth Visualization. AI filmmaker Alex Patrascu says he built a visualization of current wildfires and tectonic shockwaves in under 5 minutes with Gemini 4 Argon. He made it in Google Antigravity, running locally on his own computer.

The video shows a 3D globe called "The Living Heartbeat of Earth."

It displays wildfires, earthquakes, and volcanic activity with pulsing colors and live data overlays. He describes the model as creative and fast, and says it helped him analyze complex data in minutes.

He says he spent a week with the model and created dozens of visualizations with real-time data.

Example 2: Reverse Engineering a Year 2000 Game. AI creator Bijan Bowen used Gemini 4 Argon to run a Windows game called Insane from the year 2000 natively on Linux.

He gave the model the game files, including a heavily modified version with custom cars and tracks.

His prompt asked for a byte-identical recompile so the game would run smoothly on his system, plus better performance.

"We will need a byte-identical recompile of it so it will run natively and smoothly on this system, included in the mods packaged within. Improve performance as well."

Bijan Bowen's prompt to Gemini 4 Argon

The model needed about 2.5 hours for the first port. A follow-up request to run the game at the computer's native screen resolution took just a few minutes.

The game now runs smoothly with full physics, including the original soft-body crash system. Argon also built an animated infographic that explains the steps, such as removing bottlenecks and adding a widescreen patch.

Example 3: An Apple Computer Museum. AI investor Justine Moore asked Gemini 4 Argon to build an interactive Apple computer museum with no images or data supplied. The output went up right after the global release.

The model found archival Mac photos on its own and built tools to clean up the images. It also gathered 50 years of computer specs.

The result is a 3D, Cover Flow-style timeline that runs from the 1976 Apple I to the 2024 Mac mini. Each era has specs, design stories, and an interface that changes to match the decade.

Other users in replies are awestruck by the output, with many praising the end-to-end workflow and hoping it boosts Gemini against rivals. However, some also highlighted small factual inaccuracies in the demo.

Example 4: Fall Guys Clone. Matthew Berman asked Gemini 4 Argon to build a parody of the game Fall Guys, and the model produced a playable version. He shows several demos that each took about 20 to 30 minutes.

He asked for a fun game with 10 complex levels. He used the /goal prompt to push the model to keep improving the game until it worked.

The model handled collisions and physics for the little bean characters. Berman noticed some flickering in early versions, but he called the final game really good and surprisingly hard to play.

He also points out that the prompt was simple and broad, and the model filled in the details by itself.

Example 5: Animation Video About How LLMs Work. AI creator Aditya Shrivastav used early access to make a 60-second animation about how LLMs (large language models) work. Every image and sound comes from JavaScript code written by Gemini 4 Argon.

The animation covers tokenization, embeddings, self-attention, transformer layers, and how a model creates text one token at a time. A cute star-shaped character guides viewers through clear diagrams.

It also explains ideas such as vector embeddings, attention scores, feed-forward networks, and GPU parallel processing.

Example 6: Virtual Historical Tour. Krish Naik built a virtual tour app with Gemini 4 Argon in about 30 minutes. In his review, he explains that the app lets people explore historical sites in 3D before visiting them in person.

The app features two places. One is the Vitthala Temple in Hampi, and the other is the Amba Vilas Palace in Mysore. Users can rotate each 3D model while audio narration explains the site.

The temple tour mentions its 56 giant pillars and its eastern gopuram. The palace tour covers its 957,000 golden bulbs and the history of its construction, and the narration also touches on events such as the Battle of Talikota. Naik wrote the code in TypeScript and says he only gave the model simple instructions.

Example 7: Tiny 3D Physics Engine. Linus Ekenstam used Gemini 4 Argon to build a new 3D physics engine from scratch in Rust. He says the goal was top speed at a very small size.

He says the whole engine weighs 83 KB. The compressed .wasm package, which lets it run in a web browser, comes to 61.5 KB and includes 3D rendering, physics, lighting, and shadows.

The engine handles 20,000 physics bodies and 2,000 simultaneous collisions at 120 frames per second. He ran it in a browser on a MacBook Pro M5. It also has a rough but working water plugin.

Example 8: Debugging Code. AI educator Paul J. Lipsky tested Gemini 4 Argon as a code auditor, and it successfully found a security bug.

He fed the model the code for an app he had built earlier with Opus 5.5. The app sends messages from his Apple Watch to Grockbot using webhooks, which are automatic messages sent from one app to another over the internet.

Using Google's coding app Antigravity, Argon found several bugs. One bug could have exposed his webhook. The real risk was low, but someone with the webhook could have taken control of his Grockbot and possibly made it leak private information. He patched the flaw using the model's feedback.

Lipsky calls Argon a major leap for Google, but he prefers other models for some coding tasks, and he says the interface needs work.

The examples show that Gemini 4 Argon can finish big projects from short prompts. Many creators finished their builds in minutes, and the longest one, the game port, took about 2.5 hours.

For developers, the security example matters most. A model that can audit code and find real bugs could help small teams catch problems early.

Overall, Gemini 4 Argon is now in the hands of builders, and the early projects look strong.