Understand this story
On October 28, 2026, Google DeepMind released Gemini 4 Carbon, calling it its strongest model, ranking first with 59 points on the Artificial Analysis Intelligence Index v5.0, and scoring 88.2% on SEC-bench Pro, 54.8% on ExploitGym, and 71.0% on CWE-bench. The model is aimed at long-horizon engineering tasks and was first opened to some cybersecurity defenders before being expanded through the Fairwind Program. On October 29, Arena.ai said Gemini 4 Carbon ranked 2nd on Agent Arena with a net improvement of 16.2% and pushed the Pareto frontier forward; the same day, Yuchen Jin cited Artificial Analysis data to raise reservations, noting that the evaluation used the Antigravity CLI, and he planned to try it instead in Codex and Omnigent. On October 30, the Artificial Analysis Intelligence Index showed Carbon in first place with 59 points, 1 point higher than Claude Opus 5.5. On October 31, Perplexity CEO Aravind Srinivas shared an early evaluation, saying it set a new SoTA on the WANDR benchmark. There is also news that
AI-generated from public reports
Developments
7 confirmed developments
- Source:Aravind Srinivas
Google reportedly testing Gemini 4 Carbon as Argon 4 on Arena
Source:Testing CatalogGemini 4 Carbon Tops the Artificial Analysis Intelligence Index
Source:Rohan Paul- Source:Arena
Arena.ai says Gemini 4 Carbon pushes the Pareto frontier forward
Source:ArenaYuchen Jin questions the Gemini 4 Carbon benchmark testing environment
Source:Yuchen Jin- Source:Google DeepMind
Reports and discussion timeline
Browse reports and discussion by time. Their evidence levels remain distinct.
Nov 2
36Kr · AI
Claude Mythos 5.5 and GPT-6.2 Astra both surface, AI world may see a wave of flagship model updates in November
The string "Claude Mythos 5.5" has appeared in the HTML source code of Anthropic's official website, and OpenAI's unannounced GPT-6.2 Astra has also shown up in some users' Codex usage statistics and API response records. Circulating configurations suggest that Fable 5.5 may support a 1 million token input context and a maximum output of 128,000 tokens, at $10 per million input tokens and $50 per million output tokens; screenshots of GPT-6.2 Astra, meanwhile, show a 1M window. The related demo videos and API call records do not include complete prompts or logs, and the models' identities still await official confirmation.
The ElecRelated discussion
The Elec joined this discussion
This post contributes to heat; it is not a formal report or confirmed fact.
Testing Catalog
Rumor: Google has been testing Gemini 4 Carbon on Arena under the name Argon 4 since October 31
Reports say Google has been testing Gemini 4 Carbon on Arena under the name Argon 4 since October 31, and TestingCatalog relays that it appears to be one of the best-performing among currently announced models. The cited original post claims that Carbon-H outperforms earlier Carbon versions in coding, design and 3D, and is faster as well, with some outputs resembling Opus 5.5.
Oct 31
Aravind Srinivas
Perplexity CEO Shares Early Evaluation of Gemini 4 Carbon: WANDR Benchmark Sets New SoTA
Perplexity CEO Aravind Srinivas shares an early evaluation of Gemini 4 Carbon, calling it the strongest model to date in long-form research and answer quality, and noting that it achieves a new SoTA on the Wide-And-Deep-Research (WANDR) benchmark. The model will be made available to all Perplexity Pro and Max users once token capacity is sufficient, integrated into Computer.
Oct 30
SiliconANGLE
Anthropic Files for IPO as AI Infrastructure Spending and Market Concerns Run in Parallel
Anthropic filed for an IPO this week, with the filing listing multiple risks including the massive scale of compute procurement, doubts about the sustainability of customer AI spending, and catastrophic risks. In the same period, Meta announced it will issue $95 billion in non-voting shares to continue building AI infrastructure, while Alphabet's stock fell more than 12% due to weak performance in its search and advertising businesses, wiping out over $500 billion in market value. The article also mentions that SpaceXAI is watching the IPO's progress because it supplies a large amount of compute to Anthropic.
heise online
heise Weekly: Mistral Open-Sources ML4, Cohere Secures Investment from Schwarz Group, Google Restricts Gemini…
On Thursday, Mistral released the weights of its largest model, Mistral Large 4 (ML4). The model has a total of one trillion parameters, activates only 49 billion per token, and can run on four GPUs. Mistral says it outperforms Kimi K3 in coding and cybersecurity. Cohere completed its largest funding round to date, led by Schwarz Group, which owns Lidl and Kaufland, with participation from the Canadian government and Nvidia. Google launched Gemini Carbon four weeks after Gemini Argon, but at the White House's request it is open only to U.S. intelligence agencies and select partners. In addition, an Anthropic experiment involving 50 statisticians showed that in 86% of cases experts adopted the option given by an AI agent, and about half treated the final recommendation as their own judgment.
TMTPost · AGI
Edge AI Daily Morning Brief: Google Releases Gemini 4 Carbon, Anthropic Files for $2 Trillion...
Google DeepMind released the cybersecurity frontier model Gemini 4 Carbon on October 28, topping the Artificial Analysis Intelligence Index v5.0 with a composite score of 59, priced at $2 per million input tokens and $10 per million output tokens. Anthropic filed its S-1 prospectus with the SEC on October 26, planning to list on Nasdaq under the ticker ANT, with a target valuation of $1.5 trillion to $2 trillion and fundraising of up to $100 billion. In the same period, Microsoft disclosed for the first time that Azure quarterly revenue reached $33.2 billion, up 48% year-over-year.
TMTPost · AGI
Google releases Gemini 4 Carbon, topping the Artificial Analysis Intelligence Index with 59 points
Google has released its new-generation flagship model Gemini 4 Carbon, which tops the Artificial Analysis Intelligence Index v5.0 with 59 points, surpassing Claude Opus 5.5 and GPT-6 Astra. On Terminal-Bench 4.0, the model improved from Argon's 57.1% to 65.2%, and on the GraphWalks long-context test it rose from 84.2% to 96.2%, but developers report that its generation speed is about 2 to 4 times slower than Argon. This week Google first opened it to a small number of cybersecurity defense organizations, then expanded it to trusted partners through the Fairwind program; the opening time for general users has not yet been announced.
TMTPost · AGISelected
Google Releases Gemini 4 Carbon, Topping the Artificial Analysis Intelligence Index but Not Yet Publicly Available
On October 28, Google released Gemini 4 Carbon, which topped the Artificial Analysis Intelligence Index v5.0 with a score of 59, surpassing Claude Opus 5.5's 58 and GPT-6 Astra's 57 to reclaim first place. The model is currently available only to a small number of cybersecurity defense personnel; when asked when ordinary developers and enterprises will be able to use it, officials responded only with "as soon as possible." On the GraphWalks ultra-long-context test, Carbon achieved 96.2% F1, far above GPT-6 Astra's 71.8% and Claude Opus 5.5's 66.8%; introductory pricing is $2 per million input tokens and $10 per million output tokens, the same as the previous-generation Argon.
TMTPost · AGI
Gemini 4 Carbon's Top Ranking Fails to Mask Disappointing Earnings: The Bill for Google's AI Gamble
Alphabet's third-quarter revenue rose 25% year-over-year to $127.58 billion, while net profit fell 25% year-over-year to $26.17 billion, free cash flow was negative more than $9 billion, and the stock fell nearly 10% in after-hours trading. Capital expenditures of $51.4 billion were mostly directed toward AI infrastructure, and CFO Anat Ashkenazi maintained the full-year 2026 capital expenditure range of $195 billion to $205 billion unchanged. Hours before the earnings release, Google launched Gemini 4 Carbon, which topped the Artificial Analysis Intelligence Index with a score of 59, but it has not yet opened a public API and is initially available only to some cybersecurity professionals.
cnBeta
Google releases Gemini 4 Carbon, tops the Artificial Analysis leaderboard with 59 points
Google released Gemini 4 Carbon, which scored 59 points on the Artificial Analysis Intelligence Index v5.0 leaderboard, surpassing Claude Opus 5.5's 58 points and GPT-6 Astra's 57 points. The model achieved 88.2%, 54.8%, and 71.0% on SEC-bench Pro, ExploitGym, and CWE-bench, respectively, and Google says it can handle engineering problems in large codebases continuously for several days. The model this week is first being made available to some cybersecurity defenders, then expanded to trusted partners through the Fairwind Program, with no timeline yet for general users; initial pricing is $2 per million input tokens and $10 per million output tokens.
PlatformerFirst-party
Google and Reddit Both Stumble in Earnings: AI Search Is Eroding Traffic and Ad Revenue
Alphabet's stock fell 12.6% in a single day, wiping out about $500 billion in market value, while Reddit's shares dropped 15% the same day; both companies pointed to the impact of AI search on traffic and ad monetization. Google Chief Business Officer Philipp Schindler acknowledged that growing usage of AI Mode is actually weighing on revenue, because it monetizes less effectively than traditional search; Reddit, meanwhile, said traffic from search has declined noticeably, that fourth-quarter daily active users could fall by a double-digit percentage, and that it will push users to log in. Google Search and related advertising revenue still grew 12% year over year to $63.35 billion, but the growth rate slowed markedly from 19% in the first quarter.
Rohan Paul
Gemini 4 Carbon Tops the Artificial Analysis Intelligence Index with 59 Points
Google's Gemini 4 Carbon ranks first on the Artificial Analysis Intelligence Index with 59 points, 1 point higher than Claude Opus 5.5's 58 points and 2 points higher than GPT-6 Astra's 57 points. Artificial Analysis found that Carbon won 4 of 9 benchmarks (HLE-Diamond, Terminal-Bench-Science, AA-Omniscience, AutomationBench-AA), but it does not lead in coding and knowledge work. Calculated at standard prices, it costs $7.76 per index task, about 23% lower than Opus 5.5's $10.04, but higher than GPT-6 Astra's $6.25.
t3nSelected
Google releases Gemini 4 Carbon, just two weeks after Argon
Google has released Gemini 4 Carbon, just two weeks after the release of the previous-generation frontier model Gemini 4 Argon. According to Google, Carbon surpassed Anthropic's Claude Opus 5.5 to take first place on Artificial Analysis's Intelligence Index, while Argon had previously ranked only sixth. Carbon mainly improves complex coding tasks and cybersecurity capabilities, scoring 88.2% on SEC-bench Pro, higher than Argon's 83.4% and OpenAI GPT-6 Astra's 85.4%; however, it still trails Claude Opus 5.5 on the Coding Agent Index, Terminal-Bench, and Frontiercode. Currently, Carbon is available only to selected users such as cybersecurity defense experts, and will be opened to developers, enterprises, and consumers only after passing the U.S. government's voluntary pre-review process.
Oct 29
China.com TechnologySelected
Google Releases Gemini 4 Carbon Large Model, with a Focus on Enhancing Cybersecurity Capabilities
Google has launched its new-generation large model Gemini 4 Carbon, focusing on cybersecurity and long-horizon complex task handling, and it ranks first with an overall score of 59 on the Artificial Analysis Intelligence Index v5.0. On WebDev Arena, the model improved by 89 Elo points over the previous generation to 1769 points, ranking fourth; internal testing shows that its success rate in outputting secure code is more than twice that of Gemini 4 Argon. Pricing is initially the same as Gemini 4 Argon: during the promotional period, input is $2 per million tokens and output is $10 per million tokens. This week it is being made available for trial to a small number of cybersecurity practitioners on a priority basis.
The Rundown AI
Google releases Gemini 4 Carbon, topping 15 of 17 benchmarks
Google has released Gemini 4 Carbon, a frontier model aimed at cybersecurity and long-horizon coding tasks, topping 15 of Google's own 17 benchmarks, but it has not yet been made public and is available only to some cybersecurity defenders. It scores 59 on Artificial Analysis' Intelligence Index, surpassing Claude Opus 5.5 and up 9 points from Argon four weeks ago; on long-input reasoning it leads OpenAI Astra and Opus by 24 points. The introductory API price is $2 per million input tokens and $10 per million output tokens, half that of Opus 5.5, doubling after the discount period to Opus's rates. Google has not announced when it will broaden access.
Analytics India MagazineSelected
Google Releases Gemini 4 Carbon, Focused on Cybersecurity and Coding Capabilities
On October 28, Google released Gemini 4 Carbon, calling it its most powerful AI model to date, with a focus on improving cybersecurity and coding capabilities; it can identify software vulnerabilities, assess security risks, and generate remediation code. The model scored 88.2% on SEC-bench Pro, 54.8% on ExploitGym, and 71.0% on CWE-bench, and Google says these external security evaluations were run without guardrails. Carbon builds on Gemini 4 Argon, released two weeks earlier, and is initially available only to select cybersecurity defenders and trusted partners in the Fairwind Program, with no public access date announced yet; introductory pricing is $2 per million input tokens and $10 per million output tokens, rising to $4 and $20 afterward.
Latent SpaceSelected
Google DeepMind releases Gemini 4 Carbon, topping Artificial…
Google DeepMind has released Gemini 4 Carbon, which ranks first on the Artificial Analysis Intelligence Index v5 with a score of 59 and leads in 4 of 9 evaluations including HLE-Diamond and TB-Science. The model focuses on cybersecurity and long-horizon tasks, claiming 88.2% on SEC-bench Pro, 54.8% on ExploitGym, and 71.0% on CWE-bench, and is initially available only to trusted cybersecurity personnel through the Fairwind Program. In terms of specifications, it supports a 1M token context and 1M maximum output, with input covering text, images, video, and speech, and output in text; Artificial Analysis lists a standard price of $4/$20 per million input/output tokens, plus a 50% launch discount.
heise online
Austrian court confirms 30-year statute of limitations for Volkswagen dieselgate compensation; Apple releases touchscreen MacBook Pro
Austria's Supreme Court (OGH) has confirmed in a final ruling that the statute of limitations for dieselgate victims' claims against Volkswagen is 30 years rather than 3 years, and Austrian car owners can still sue Volkswagen. Apple has released its first touchscreen MacBook Pro, with the 14-inch model starting at nearly 3,300 euros and the 16-inch model starting at 3,900 euros, featuring Tandem-OLED and Dynamic Island for the first time. Microsoft's quarterly revenue and profit exceeded expectations, with cloud business growing 30% and Copilot usage in Microsoft 365 growing 50%.
The PaperSelected
Google Releases Gemini 4 Carbon, Strengthening Cybersecurity and Long-Running Agent Workflows
Two weeks after the debut of Gemini 4 Argon, Google released a new-generation frontier model, Gemini 4 Carbon, saying it achieves the current highest level in cybersecurity and long-horizon tasks, with enhancements for coding, Agent workflows, and cyber defense. The model scored 88.2% on the vulnerability discovery benchmark SEC-bench Pro, 54.8% on the exploit benchmark Exploit Gym, and 71.0% on the patch application benchmark CWE-bench. Carbon will first be made available this week to some cybersecurity defenders, then expanded to more trusted partners, and only afterward released to developers, enterprises, and consumers; during the trial period it follows Argon pricing at $2 per million input tokens and $10 per million output tokens, adjusted to $4 and $20 after the trial period.
gihyo.jpSelected
Google releases Gemini 4 Carbon, strengthening long-duration development and vulnerability discovery and remediation capabilities
On October 28, 2026, Google released the new model Gemini 4 Carbon, which improves coding and tool-calling capabilities over Gemini 4 Argon and strengthens cybersecurity defense capabilities spanning from vulnerability discovery and exploitability validation to remediation. On the Artificial Analysis Intelligence Index v5.0, Carbon scored 59, ranking first, while Argon scored 50; on Terminal-Bench 4.0, the cheating success rate was 0.0% and the attempted cheating rate was 0.4%. That week, the model was first made available to some cybersecurity defenders and gradually expanded through the Fairwind Program, before later being opened to developers, enterprises, and general users. Announced pricing is $2 per million tokens for input and $10 per million tokens for output.
Shao Meng
Google DeepMind Previews Gemini 4 Carbon, Claiming Leadership in Cybersecurity and Long-Horizon Capabilities
Google DeepMind has previewed its next-generation frontier model, Gemini 4 Carbon, claiming it achieves SOTA in cybersecurity and long-horizon capabilities, ranking first on the Artificial Analysis Intelligence Index v5.0 with 59 points, while Claude Opus 5.5 scored 58. The model is not yet publicly available; it will first be opened to select cybersecurity defenders and trusted partners in the Fairwind program, and will participate in the U.S. government's voluntary pre-release testing, before gradually being opened to developers, enterprises, and consumers. Introductory pricing is the same as Argon, at approximately $2 input and $10 output per million tokens, rising to approximately $4 input and $20 output after the introductory period.
ZhidongxiSelected
Google Releases Gemini 4 Carbon Model, Focused on Long-Horizon Agentic Workflows
Google has released its flagship model Gemini 4 Carbon, built specifically for continuously running agentic workflows, with a focus on improving coding, agentic, scientific task, and full-stack web development capabilities. The model ranks first on the Artificial Analysis Intelligence Index v5.0 with a score of 59, surpassing Claude Opus 5.5, GPT-6 Astra, and GPT-6.1 Sol; the launch promotional price is $2 per million input tokens and $10 per million output tokens, with a 95% discount available for cached input tokens. Carbon adopts a phased rollout strategy, first opening to select cybersecurity defenders, then expanding the range of trusted partners through the Fairwind program, and afterward opening to developers, enterprises, and consumers.
QbitAISelected
Google Releases Gemini 4 Carbon, Surpassing Claude Opus 5.5 on Multiple Benchmarks
Google has released its new flagship model Gemini 4 Carbon, which tops the Artificial Analysis Intelligence Index 5.0 with a score of 59, surpassing Claude Opus 5.5 and GPT-6 Astra. It scored 65.2% on Terminal-Bench 4.0, 96.2% on GraphWalks for 256k to 1M context, and 88.2% on SEC-bench Pro vulnerability discovery. Initial pricing is $2 per million tokens for input and $10 per million tokens for output, with cached input as low as $0.2; because of its vulnerability discovery and exploitation capabilities, it will first be made available to select cybersecurity defenders.
SiliconANGLESelected
Google Releases Flagship Model Gemini 4 Carbon, Strengthening Cybersecurity Capabilities
Google has released the frontier large language model Gemini 4 Carbon, focused on complex programming and cybersecurity tasks. Google says internal testing shows its ability to generate secure code is more than twice that of the previous generation, that it surpasses the previous record on SEC-bench Pro, and that it can better patch discovered vulnerabilities; in Terminal-Bench 4.0, only 0.4% of problems involved attempted cheating, and none succeeded, while in the Gray Swan IPI Benchmark it blocked all simulated indirect prompt injections. Carbon will open early access later this week through the Fairwind Program to organizations such as internet service providers, and Google plans to refine its guardrails based on feedback before making it broadly available.
indigo
Google releases Gemini 4 Carbon; shares fall 10% after hours following earnings report
Google released Gemini 4 Carbon, less than a month after the previous version, Argon. Shares plunged 10% after hours following the earnings report, mainly because search business growth fell short of expectations and slowed for two consecutive quarters; of total revenue of $127.577 billion, advertising accounted for 64.28% and Google Cloud for 24.07%, with the pure search business falling below 50% for the first time.
ArenaSelected
Gemini 4 Carbon ranks 2nd on Agent Arena with a net improvement of 16.2%
Arena.ai says Gemini 4 Carbon ranks 2nd in the real-task-based Agent Arena with a net improvement of 16.2%, and sits on the Pareto frontier for cost, time, and output tokens per task. Compared with Gemini 4 Argon, which ranks 7th with an 11% improvement, Carbon is 5 places higher and 5.2 percentage points better; the gains mainly come from a +13.2 percentage point increase in the positive-feedback-to-complaint ratio, +5.6 percentage points in confirmed success, and +4.8 percentage points in steerability. Arena says Carbon's availability will be announced by Google DeepMind.
heise onlineSelected
Google releases Gemini 4 Carbon, succeeding Argon and focusing on exploit capabilities
Google releases the new model Gemini 4 Carbon, replacing Argon, which was launched four weeks ago; initially it is available only to U.S. intelligence agencies and cyber defenders selected through the Fairwind program. Google says Carbon improved from Argon's 42% to nearly 55% on the Exploitgym benchmark, leads GPT-6 Astra with about 88% on SEC-bench Pro, and reaches 71% on CWE-bench. Pricing is $4 per million input tokens and $20 per million output tokens, with a 50% discount initially, and public availability is described only as "soon."
CNET
Google Releases Two New Models: Gemini 4 Carbon and Genie 4
Google has released the large language model Gemini 4 Carbon and the world model Genie 4; the former surpasses its own Gemini 4 Argon and OpenAI's GPT-6 Astra on comprehensive capability benchmarks. Gemini 4 Carbon focuses on vulnerability detection and patching and is currently available only to select cybersecurity experts; Genie 4 adds audio capabilities, allowing developers to add background sound and dialogue to AI worlds, and a waitlist is now open.
The Verge AISelected
Google Releases Gemini 4 Carbon, Claims Significant Leap in Cybersecurity Capabilities
Google has released the frontier model Gemini 4 Carbon, claiming notable improvements in coding, agentic tasks, and cybersecurity, and ranking first on the Artificial Analysis Intelligence Index (v5.0), followed by Claude Opus 5.5 and GPT-6 Astra. The model is currently available only to select cybersecurity defense companies, and will later be expanded to other partners through the Fairwind Program; it ranks first on two benchmarks, SEC-bench Pro and ExploitGym, and is priced the same as Argon at $2 per million input tokens and $10 per million output tokens.
The DecoderSelected
Google DeepMind releases Gemini 4 Carbon, just two weeks after Argon
Google DeepMind launched Gemini 4 Carbon two weeks after the release of Argon. The model scored 59 on the Artificial Analysis Intelligence Index v5.0, higher than Argon's 50, ranking first. Carbon is designed for long-horizon engineering tasks, rose to 1769 points and fourth place on WebDev Arena, and reduced the attack success rate from 0.7% to 0.0% on the Gray Swan indirect prompt injection benchmark. The model is first being made available to select cybersecurity experts, priced at $2 per million input tokens and $10 per million output tokens, in line with Argon's introductory pricing.
Arena
Arena: Gemini 4 Carbon pushes the Pareto frontier
Arena.ai says Gemini 4 Carbon pushes the Pareto frontier. The post it cites points out that Google DeepMind's Gemini 4 Carbon (High) has entered the Pareto frontier in Agent Arena, Code Arena: WebDev, and Text Arena; in Agent Arena it ranks #2, with a net improvement of +16.2% and a median cost per task of $1.80, 72% lower than #1 Claude Opus 5.5 (Max).
Testing Catalog
Gemini 4 Carbon Tops Text Arena, Ranks Second in Agent Arena
Gemini 4 Carbon (High) took first place in Text Arena with 1528 points, surpassing Gemini 4 Argon (High)'s 1520 points. It ranks second in Agent Arena, behind only Claude Opus 5.5, and has entered a new Pareto frontier; in Web Dev Arena it ranks fourth with 1768 points, two points behind third-place Claude Sonnet 5.5. Arena data states its median cost per Agent Arena task is $1.80, 72% lower than top-ranked Claude Opus 5.5 (Max). Its Artificial Analysis V5 score is 59.
MarkTechPostSelected
Google DeepMind releases Gemini 4 Carbon, focused on cybersecurity defense and coding
Google DeepMind has launched Gemini 4 Carbon, calling it a frontier model for long-horizon agentic coding and cybersecurity defense, ranking first with 59 points on the Artificial Analysis Intelligence Index v5.0. The model achieved 96.2% on the GraphWalks long-context test, and 88.2%, 54.8%, and 71.0% on SEC-bench Pro, ExploitGym, and CWE-bench, respectively, but on OSWorld-2.1 it trailed Claude Opus 5.5's 87.2% with 81.5%. Carbon is currently available only to vetted cybersecurity defenders, with introductory pricing of $2 per million input tokens and $10 per million output tokens, later $4 and $20; the timeline for opening it to developers and the public has not been announced.
Testing CatalogSelected
Google releases Gemini 4 Carbon, claims top ranking on Artificial Analysis V5
Google has released a new model, Gemini 4 Carbon, claiming it ranks first on Artificial Analysis V5 and is being made available first to cybersecurity defenders. The model shows notable improvements on coding and agentic tasks, scoring 88.2% on SEC-bench Pro vulnerability discovery, 54.8% on ExploitGym exploitation, and 71.0% on CWE-bench patching. Logan Kilpatrick said it is a big jump over Argon, which was released just two weeks ago, achieves SOTA on long-horizon tasks, and shows improvements in usability and alignment.
Yuchen JinSelected
Yuchen Jin: Artificial Analysis data shows Gemini 4 Carbon is smarter than…
Citing Artificial Analysis data, Yuchen Jin says Gemini 4 Carbon is smarter than Opus 5.5 and costs less per task. He raises one caveat: the evaluation ran Gemini 4 Carbon using the Antigravity CLI, and he hasn't used Antigravity for months and isn't in a hurry to install it; he plans to try it in Codex and Omnigent instead to see how it actually performs.
Josh WoodwardSelected
Google releases Gemini 4 Carbon, just two weeks after Argon
Google has released its next-generation frontier model Gemini 4 Carbon, just two weeks after the release of Gemini 4 Argon. According to Sundar Pichai, Carbon ranks first on the ArtificialAnlys Intelligence Index v5.0 with a score of 59, scoring 88.2% on SEC-bench Pro, 54.8% on ExploitGym, and 71.0% on CWE-bench in cybersecurity evaluations, with notable improvements over Argon on long-horizon tasks. The model will first be made available to trusted cybersecurity defenders, then expand its collaboration scope through the Fairwind Program, and subsequently become more broadly available.
Artificial AnalysisSelected
Gemini 4 Carbon Tops the Artificial Analysis Intelligence Index…
Artificial Analysis evaluations show that Google's Gemini 4 Carbon tops Intelligence Index v5 with 59 points, ranking first in four of the 9 evaluations: HLE-Diamond, Terminal-Bench-Science, AA-Omniscience, and AutomationBench-AA. On the Coding Agent Index, Gemini 4 Carbon (high) paired with Antigravity CLI scores 59 points, 3 points behind Claude Code paired with Claude Opus 5.5 (max, 62 points). The model is currently available only to some users and has not yet been publicly released; it is priced at $4/$20 per 1M input/output tokens with a 50% discount, has a 1M-token context window, and supports text, image, video, and voice input.
Ammaar Reshi
Gemini 4 Carbon Released, Ranks First on Artificial Analysis v5
Gemini 4 Carbon has been released, ranking first on Artificial Analysis v5. The publisher says it works very well as a daily main model and expresses anticipation for what users will be able to do once it officially launches.
9to5GoogleSelected
Google Releases Gemini 4 Carbon, Claiming Significant Improvements in Coding and Agentic Tasks
Two weeks after the release of Argon, Google announced its next-generation frontier model Gemini 4 Carbon, claiming significant improvements in coding, agentic tasks, and cybersecurity defense. Carbon ranks first with 59 points on the updated Artificial Analysis Intelligence Index v5.0, and rose 89 elo to 1769 points on WebDev Arena, ranking fourth. On safety, Google says Carbon reduces unsupported claims by about 2x compared with Argon, reduces excessive overreach behavior by 26%, and reduces under-service by 29%. The model will first be made available to cybersecurity defenders this week, followed by rollout to developers, enterprises, and consumers.
Yuchen Jin
Is Google entering another regression cycle: Gemini 4 Carbon tops Artificial…
Yuchen Jin asks whether Google is entering another regression cycle, saying that Google's new model Gemini 4 Carbon surpasses Opus 5.5 and GPT-6 Astra on most benchmarks and ranks first on the Artificial Analysis Intelligence Index v5. He also mentioned watching whether this performance can shake Anthropic's IPO.
Philipp SchmidSelected
Gemini 4 Carbon previewed, with enhanced coding and cybersecurity capabilities
Gemini 4 Carbon, the next-generation frontier model, is coming soon, with enhanced coding and cybersecurity capabilities building on Argon, pricing held at $2 input / $10 output, and a score of 59 on AA v5. The model is currently being tested with trusted partners, and developer access will open as soon as possible.
Google AI
Google Releases Gemini 4 Carbon, Focused on Cybersecurity and Long-Horizon Task Capabilities
Google announced the launch of Gemini 4 Carbon, calling it its strongest model to date and saying it reaches leading levels in cybersecurity and long-horizon task capabilities. Carbon improves on its predecessor on most benchmarks and stands out in autonomous coding and cyber defense. The model is first being made available to some trusted cyber defenders in the Fairwind program, with access to be expanded as soon as possible afterward.
Demis Hassabis
Demis Hassabis announces the release of Gemini 4 Carbon, saying it achieves SOTA on multiple benchmarks
Demis Hassabis announces the release of Gemini 4 Carbon, saying it achieves SOTA on several key benchmarks and combines frontier capabilities with in-depth safety and security research. The tweet does not give specific benchmark names, scores, or release method.
Logan KilpatrickSelected
Google Releases Gemini 4 Carbon, Claims SOTA on Cybersecurity and Long-Horizon Tasks
Google has released Gemini 4 Carbon, claiming it is a major improvement over Argon, which was released two weeks ago. The model achieves SOTA on cybersecurity and long-horizon tasks, ranks No. 1 on Artificial Analysis V5, shows significantly improved usability in areas such as coding, and is more closely aligned.
Sundar PichaiSelected
Google releases Gemini 4 Carbon frontier model, claims first place on Intelligence Index
Google releases its new-generation frontier model Gemini 4 Carbon, just two weeks after the release of Argon. The model ranks first with 59 points on the updated ArtificialAnlys Intelligence Index v5.0, and achieved scores of SEC-bench Pro 88.2%, ExploitGym 54.8%, and CWE-bench 71.0% in cybersecurity evaluations. Compared with Argon, Carbon shows significant improvement on long-horizon tasks, and frontier safety safeguards have also been strengthened; starting this week, it will first be opened to select trusted cybersecurity defenders, then expand the range of partners through the Fairwind Program, and gradually open up more broadly.
Oct 28
Full Artificial Analysis articleFirst-partySelected
Gemini 4 Carbon Tops the Artificial Analysis Intelligence Index v5
Google's Gemini 4 Carbon ranks first on the Artificial Analysis Intelligence Index v5 with a score of 59, leading in four of the 9 evaluations: HLE-Diamond, Terminal-Bench-Science, AA-Omniscience, and AutomationBench-AA. On the Coding Agent Index, Gemini 4 Carbon (high) paired with the Antigravity CLI scores 59, trailing Claude Code paired with Claude Opus 5.5 (max, 62 points) by 3 points. The model has a 1M-token context window, supports text, image, video, and speech input, and is priced at a standard rate of $4/$20 per million input/output tokens; it is currently available to select users with a 50% discount.
Google DeepMindFirst-party
Google DeepMind Releases Gemini 4 Carbon, Focused on Cybersecurity and Long-Horizon Task Capabilities
Google DeepMind has released Gemini 4 Carbon, calling it its strongest model, ranking first with 59 points on the Artificial Analysis Intelligence Index v5.0, and achieving 88.2% on SEC-bench Pro, 54.8% on ExploitGym, and 71.0% on CWE-bench. The model is aimed at long-horizon engineering tasks; an internal team once had it run continuously for several days to investigate and fix hidden defects in a large codebase, and it rose to 4th place on WebDev Arena with 1,768 points. Starting this week, Carbon is first being made available to select cybersecurity defenders, then gradually expanding through the Fairwind Program, and only afterward to developers, enterprises, and consumers; after the introductory period, pricing is $4 per 1 million input tokens and $20 per 1 million output tokens.
Google BlogFirst-partySelected
Google DeepMind Releases Gemini 4 Carbon Frontier Model
Google DeepMind has released Gemini 4 Carbon, calling it its strongest model, ranking first with 59 points on the Artificial Analysis Intelligence Index v5.0 and leading on SEC-bench Pro (88.2%), ExploitGym (54.8%), and CWE-bench (71.0%). The model targets long-horizon engineering tasks; an internal team once had it run continuously for several days to investigate and fix hidden defects in a large codebase, and it rose 89 elo to 4th place (1768) on WebDev Arena. Starting this week, Carbon will first be opened to some cybersecurity defenders, then gradually expanded through the Fairwind Program, and only afterward made available to developers, enterprises, and consumers; after the introductory period, pricing will be $4 per 1M input tokens and $20 per 1M output tokens.
Google BlogFirst-partySelected
Alphabet Q3 2026 Earnings: Revenue Up 25% Year-over-Year, Gemini App Reaches 1 Billion Users
Alphabet's Q3 2026 revenue grew 25% year-over-year, with annualized revenue reaching $500 billion, and Google Cloud revenue up 103%. CEO Sundar Pichai said first-party model APIs process nearly 32 billion tokens per minute, 40% more than last quarter; the Gemini app has reached 1 billion users, making it the fastest-growing product in Google's history. A new model in the Gemini 4 series, Carbon, was also released that day; it ranks first on the Artificial Analysis Intelligence Index with a score of 59, will first be made available to select trusted cybersecurity defenders, and is being tested by the U.S. government.
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