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Google's Gemini 4 Argon Is Finally Here (Full Analysis) but is it even Good? Analytics Table
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Try Dokkio š https://dokkio.com/metaverse Use code: metaverse How good is Gemini 4 Argon at real coding tasks? I test it inside Kilo Code with a Goldberg simulation, a 3D chess game, tower defense, a Rubikās cube simulator, and a landing page. We look at the actual results, completion times, costs, and the difference between default and high reasoning settings. Some demos work well, others have obvious problemsāand the website design delivers a very different result from the 3D simulations. Which coding model would you choose? Share your experience in the comments, and subscribe for more hands-on AI tests. Try Dokkio š https://dokkio.com/metaverse Use code: metaverse Stop searching through different apps to find your files. Dokkio brings your cloud storage, shared documents, email attachments, and other connected sources into one AI-powered hub. It automatically organizes files by their content and helps you search by what theyāre aboutānot just their names. Existing sharing permissions are respected, making collaboration easier. Thanks to Dokkio for sponsoring this video! 00:00 Gemini 4 Argon: first impressions 00:21 Pricing and Kilo Code availability 00:40 Initial coding impressions 01:02 Dokkio Ad Placement 01:53 Benchmarks vs. real-world performance 02:33 Goldberg simulation test 03:11 3D chess: results, issues, and cost 03:34 Tower defense game test 04:08 High reasoning: Rubikās cube challenge 05:18 Comparing the Rubikās cube results 06:10 Landing page design challenge 07:13 Landing page results and cost 07:33 Where the 3D demos fall short 08:16 Final verdict and model comparisons 08:52 Try it and share your thoughts #Gemini4 #AICoding #Argon #GoogleGemini #googledeepmind #Dokkio š©Subscribe to the Newsletter: https://www.themetaverseguy.com/newsletter šVisit my Official Website: https://www.themetaverseguy.com/ Join this channel to get access to perks: https://www.youtube.com/channel/UCYEHmQ-b1iC02-LMeseQsvw/join āļø Send me an email: [email protected] š Donāt forget to LIKE, SUBSCRIBE, and SHARE! Google's Gemini 4 Argon features a 1 million token context window. See how this new model handles complex multi-modal inputs. This model accepts text, files, audio, images, and videos to process information, though it outputs text exclusively. I am testing its reasoning skills across several practical demonstrations, including a chess simulation and code editing tasks. Beyond simple text generation, the latest AI capabilities allow for visual reasoning tasks like solving a Rubik's Cube or simulating a domino effect. If you are tracking the progress of a large context window model, this walkthrough covers pricing and real-world performance expectations. Subscribe for weekly AI model breakdowns, and let me know if you want to see more tests with this tool. #openai #Ai #Chatgpt #AIProgramming #LLM #Ollama #LLAMA #WindsurfAI #CursorAI #BoltNew #AIDevelopment #AIShowdown #TheMetaverseGuy #SoftwareDevelopment #CodingTools #AIForDevelopers
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