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Gemini 4 Carbon: From Leaks to Launch and Hands-On

After leaking across multiple channels on Nov 10, Google's Gemini 4 Carbon was officially announced the next day, followed by hands-on tests showing major coding gains and a rollout to AI Mode in Search.

2026-11-10 ~ 2026-11-11 · 6 episodes · 87 posts

Episode 1 · Gemini 4 Carbon leaks across Antigravity, AI Studio, Vertex and Gemini app (2026-11-10, 21 posts)

Starting November 10, Google's next-generation model "Gemini 4 Carbon" has been leaked in multiple places, but Google has issued no confirmation. The leaks began with testingcatalog, which found three Gemini 4 Carbon variants — Low, Medium, High — in the latest Google Antigravity build, along with an entry resembling "gemini-4-carbonccpa".

Confirmed

  • testingcatalog discovered Low, Medium, and High variants of Gemini 4 Carbon plus related entries in an Antigravity build — the closest thing to a primary source in this cluster
  • Multiple Reddit users (ThenFlounder6906, Clear-Complaint-322, StrangeWitness2449, DrCataclysm) posted highly consistent screenshots of the Gemini app's model picker: Quick answers maps to 3.5 Flash-Lite, the general assistant to 3.8 Flash, and a new "4 Carbon" entry appears above the Code & analysis tier — some with a lock icon, marked unavailable or labeled New
  • Some screenshots also showed unreleased models like Gemini 4 Argon (Medium/High, New) and 3.8 Flash (High), and even a Claude Opus 5.5 entry
  • A screenshot relayed by SRRSMITH from a Gemini Pro user showed a new locked "Most complex work: 4 Carbon" entry in the mode list

Not Yet Confirmed

  • markk declared "Gemini 4 Carbon is here" citing what was claimed to be a live demo and tagged @GoogleDeepMind, but received no official response
  • CodeByPoonam claimed to have generated a portrait of Sundar Pichai using "Gemini 4 Carbon" with an attached image; the post had no further detail and its authenticity is unverified
  • A GCI (Generic Capability Index) tracking chart posted by scaling01 showed Gemini 4 Carbon scoring around 134, above Gemini 4 Argon (around 130+); the leaderboard's source and credibility are unclear
  • A Reddit leak relayed by muzaffer22 claimed Gemini 4 Carbon would launch that same day, backed only by a screenshot of a Google engineer Logan Kilpatrick tweet containing the single word "Gemini" — no official source, and no launch followed

Why It Matters

If the leaks hold, Carbon would be Google's more powerful next-gen model following Gemini 4 Argon, offered in Low/Medium/High tiers — hinting Google may shift toward multi-tier, task-complexity-based model selection. Multiple independent screenshots corroborate each other, boosting the leaks' credibility, but until an official release, all model names, capabilities, and timing should be treated as rumor.

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Episode 2 · Google launches Gemini 4 Carbon for long-horizon tasks (2026-11-11, 45 posts)

On November 11, Google CEO Sundar Pichai and the official Google AI account simultaneously announced the release of Gemini 4 Carbon, a new frontier model rolling out the same day to Google AI Ultra subscribers worldwide across desktop, mobile, and the web-based Gemini App. Google positions it as the most capable Gemini model to date, purpose-built for sustained long-horizon tasks, with deep reasoning across complex knowledge work, software engineering and web development, cybersecurity, and scientific reasoning, and frontier-level performance in agentic workflows. Current status: the model is officially available, but initially only to Ultra subscribers and API developers; Pro-tier subscribers do not yet have access.

Confirmed

  • Announcement channels: Sundar Pichai, GoogleAI, and GeminiApp official accounts all posted the announcement with links to the official blog, with consistent content (m1, m3, m4, m16).
  • Availability: accessible to AI Ultra subscribers in the Gemini App; developers can use it via the Gemini API (AI Studio) and Antigravity (m2, m5, m7, m8, m12).
  • Performance and capabilities: developer relations engineer patloeber called it a major leap over the previous-generation Argon, with identical API features and unchanged pricing (m7); Philipp Schmid reported bug recall improved by more than 25% over Argon (m8, m12); koraykv (official Google post) said the model tops multiple independent benchmarks, including Cursor-related ones, and internal teams have already used it to assist in mathematically proving Signal's core cryptographic protocols (m9).
  • Industry reaction: Hugging Face's Omar Sanseviero (now on the Google team) assessed it as clearly stronger than Argon and a significant upgrade (m10, m11).

Unconfirmed

  • Capability details mentioned by testingcatalog and full benchmark data await the official blog and subsequent reviews (m6).
  • No official timeline for when Pro-tier subscribers will get access (m6).

Why it matters

  • Gemini 4 Carbon arrived only weeks after the previous-generation Argon went live (m13), a markedly accelerated release cadence reflecting Google's aggressive strategy in the frontier-model race.
  • Its focus on long-horizon agentic workflows and cybersecurity directly targets high-value scenarios like complex software engineering and scientific discovery.
  • API pricing is on par with Argon while performance has improved substantially (25%+ better bug recall), offering developers significantly better value.

25 more related posts →

Episode 3 · Google launches Gemini 4 Carbon; early tests show big coding gains (2026-11-11, 14 posts)

On November 11, Google released the new model Gemini 4 Carbon, and several bloggers with early access along with the Every team promptly published day-one tests. The overall verdict: coding ability substantially surpasses the previous Gemini 4 Argon, but writing and reliability still lag.

Confirmed

  • Every team (danshipper) day-one test: Carbon scored 44% higher than Argon on their Senior Engineer benchmark; a major coding upgrade—more solid code, more thorough tests and documentation, better 3D object generation, and the ability to independently push large projects for hours at a time with little supervision.
  • Blogger kimmonismus tested 13 coding briefs (3D, websites, apps) in Antigravity and called the results stunning. Highlights: the TIDEFORGE brief demanded 1 million particles and it actually ran 1,048,576, with WebGPU compute driving motion calculations, switching flow modes altering the same real-time simulation, and zero follow-up needed. He also noted Carbon self-tests and fixes its output before submitting, with tight integration—but cautioned its green-light (self-test pass) results can't be fully trusted.
  • In another Every test with 9 real tasks under a 10-minute limit: low thinking mode averaged 81, mid 62, high 54—high mode hit the time limit 5 times and scored 0 three times; with the time limit removed, the gap nearly vanished (81/76/80), suggesting low thinking mode is more practical under real deadline pressure.
  • YouTube channel Prompt Engineering (author disclosed recently joining Google with DeepMind early access) reported an Artificial Analysis intelligence index score of 60 plus a million-token output test.
  • Rohit Krishnan (relayed via zacharynado) considers Carbon a clearly frontier-grade model, notably better than Argon at writing and ideation, but still prone to occasional hallucinations, overconfident answers, and verbose output—human oversight required.

Unconfirmed

  • m9 is a repost, and the original poster expressed reservations (flagged in the post) about whether the model name is actually Carbon, so its experience report is for reference only.

Why it matters

  • Carbon marks a key upgrade to Google's coding model lineup, with multiple independent day-one tests consistently pointing to a coding leap that directly affects comparisons against competitors; findings like "low thinking mode beating high mode" and "don't fully trust the green-light self-tests" also signal that users still need human oversight on real timelines and acceptance checks.

Episode 4 · Gemini 4 Carbon Crafts 3D Pop-Up Book Site and Fictional Instrument Page (2026-11-11, 3 posts)

Midway through the series, Gemini 4 Carbon built a true 3D pop-up book website in three follow-ups, generated a fictional optical instrument product page with 10 detachable, reassemblable parts, and fixed a portfolio site's sculpture and typography with a single prompt.

Episode 5 · Carbon Test Series Wraps: Model Builds and Self-Fixes FPS Game and Poster Editor (2026-11-11, 2 posts)

In the final parts of his Gemini 4 Carbon series, kimmonismus had the model build a tactical FPS with AI defenders and original 3D weapons, plus a layer-based poster editor. Carbon tested and fixed its own work, with one follow-up prompt repairing the editor's Undo and export issues.

Episode 6 · Google brings Gemini 4 Carbon to Search AI Mode for Ultra subscribers (2026-11-11, 2 posts)

Google has started rolling out Gemini 4 Carbon in Search's AI Mode for AI Ultra subscribers, touting deeper reasoning, better instruction following, and more in-depth back-and-forth conversations.