{"id":927144,"date":"2026-10-10T00:32:09","date_gmt":"2026-10-10T00:32:09","guid":{"rendered":"https:\/\/www.newsbeep.com\/ca\/927144\/"},"modified":"2026-10-10T00:32:09","modified_gmt":"2026-10-10T00:32:09","slug":"google-employees-praise-latest-gemini-4-internal-model","status":"publish","type":"post","link":"https:\/\/www.newsbeep.com\/ca\/927144\/","title":{"rendered":"Google Employees Praise Latest Gemini 4 Internal Model"},"content":{"rendered":"

As Google<\/a> prepares to roll out its new Gemini 4 ‘Argon’ model to the public, staff inside the company are testing better versions that may further close the gap with rivals.<\/p>\n

Most recently, employees have been trying a new version of Gemini 4 internally named Carbon, according to documents and screenshots seen by Business Insider.<\/p>\n

The model \u2014 possibly a new update to Argon, also known as a “checkpoint” \u2014 was made available inside Google’s internal coding platform, Jetski, in recent days.<\/p>\n

One employee told Business Insider that Carbon “feels like Opus 5.5” for coding, referring to Anthropic’s most powerful model for long-term agentic coding. However, they caveated that they would need to test it more.<\/p>\n

Google’s internal testing shows how the company is moving fast with its new generation of Gemini 4 models, which it announced in late September<\/a>. It also underscores how Google is competing in the fast-moving race for AI coding agents.<\/a> Anthropic<\/a> and OpenAI<\/a> have pulled ahead among developers with models built for complex engineering work.<\/p>\n

Early versions of Argon tested internally were generally well received by staff, according to conversations with employees and internal message threads seen by Business Insider.<\/p>\n

However, one employee said early versions of Argon felt behind on some coding tasks, comparing the model to Claude Opus 5, an older Anthropic release.<\/p>\n

The latest updates might close that gap, but Google is not guaranteed to release them. An internal document shows that Google has tested a series of Gemini 4 models, internally named Argon, Barium, and Carbon.<\/p>\n

Google’s internal codenames are typically out of sync with their public names. For example, one document noted that the internal “Barium-B” model was chosen to be the model that will be known publicly as Argon. It could not be determined whether Carbon will be another update under the Argon name or a different model in the Gemini 4 family.<\/p>\n

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Google declined to comment.<\/p>\n

Argon, Barium, Carbon\u2026<\/p>\n

Staff have been discussing the new updates in messaging channels seen by Business Insider.<\/p>\n

“Feels comparable to Opus 5.5,” said one employee, referring to the latest update. “Carbon is really good!” another wrote.<\/p>\n

“New Gemini pro next model feels kinda nice,” another person posted, referring to the “Next” label that is typically given to new Gemini updates internally.<\/p>\n

Google said last month<\/a> that Argon delivered frontier performance on some coding and knowledge work benchmarks, including domains such as legal and finance.<\/p>\n

The company also said Argon had a strong focus on defensive cybersecurity. It said it would first make the model available to partners in its Fairwind Program, an initiative for testing cyber vulnerabilities in new models, before a wider public rollout.<\/p>\n

Google is under pressure to show it can still compete on the frontier in terms of model capabilities. The company announced this week a new “universal” Gemini AI agent designed for the workplace, as the\u00a0battle over<\/a> agentic assistants<\/a> among top AI companies heats up.<\/p>\n

Have something to share? Contact this reporter via email at hlangley@businessinsider.com<\/a> or Signal at 628-228-1836. Use a personal email address and a non-work device; here’s our guide to sharing information securely<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"As Google prepares to roll out its new Gemini 4 ‘Argon’ model to the public, staff inside the…\n","protected":false},"author":2,"featured_media":927145,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[62,318498,276,277,8623,49,48,16801,2539,6320,318501,12390,27195,192,318500,2179,263618,318499,11166,2473,61],"class_list":["post-927144","post","type-post","status-publish","format-standard","has-post-thumbnail","category-artificial-intelligence","tag-ai","tag-argon","tag-artificial-intelligence","tag-artificialintelligence","tag-business-insider","tag-ca","tag-canada","tag-carbon","tag-company","tag-document","tag-early-version","tag-employee","tag-gemini","tag-google","tag-late-update","tag-model","tag-new-ai-model","tag-new-gemini","tag-opus","tag-staff","tag-technology"],"_links":{"self":[{"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/posts\/927144","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/comments?post=927144"}],"version-history":[{"count":0,"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/posts\/927144\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/media\/927145"}],"wp:attachment":[{"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/media?parent=927144"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/categories?post=927144"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/tags?post=927144"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}