The Decoder6262Google's Gemini 4 Carbon has become the first non-OpenAI model to top the MathArena mathematical benchmark recently, defeating GPT-6.1 Sol and Claude Fable 5.2, which ranks second. Gemini 4 Carbon performed the best in the tests, but the reasoning settings price is 15 times that of GPT-6.1 Sol.
Google has launched Gemini 4 Hydrogen in Antigravity and added an Orchestrator model option, combining Hydrogen with stronger models like Gemini 4 Carbon for long-period tasks.
The Verge · AISame event8282Google has released the Gemini 4 Hydrogen model, claiming it can better answer complex questions that involve multiple parts, spelling errors, or highly specific requirements, and will break down the problem and respond item by item.
Same story — showing the featured version《Google Search has integrated Gemini 4 Hydrogen and is now open to global users.》
The DecoderFeaturedSame story · 6 outlets8888
Ars Technica · AIFeaturedSame story · 6 outlets8282Google releases Gemini 4 Hydrogen, replacing Gemini 3.8 Flash in its own products, with access restrictions more relaxed than previous Argon and Carbon, available for use upon release
Google DeepMindFeaturedSame story · 6 outlets8787Google DeepMind releases Gemini 4 Hydrogen, targeting daily coding and intelligent agent workflows, with an Artificial Analysis intelligence index of 51 at the default high thinking level, higher than Argon's 50, and reaching 54 at the xhigh level
Why it matters: Google provides the division of labor and positioning of Hydrogen, Carbon, and Argon, as well as the actual differences in cost and speed between multi-model arrangements.
Latent SpaceSame story · 2 outletsGoogle DeepMind has launched the AlphaGenome 2 model, which can predict the effects of DNA variations on specific cell types, nearly doubling its ability to identify gene expression variations to 30% (from 16%), and accurately predicting the direction of gene expression changes to 43% (from 23%). It supports cross-modal data inference and has opened API access to non-commercial research.
The DecoderFeaturedSame story · 2 outlets7878Google DeepMind launches Gemini Decisions API, targeting yes/no, multiple choice, and scale scoring for closed-form judgments. The underlying model, Gemini Decision 1, can handle up to 1000 independent questions at once, covering text, images, audio, video, and PDF.
The DecoderFeatured8585Google DeepMind releases AlphaProof Code, an AI-powered mathematical proof software that meets security specifications, and completes the verification work usually requiring several years on the Signal encryption protocol in just four weeks.
The Verge · AISame story · 3 outlets6565Google DeepMind releases AlphaGenome 2 model, predicting gene variation impacts on different cell types and states by analyzing over 100 million cell outline data, identifying nearly double the variable gene expression mutations compared to the previous generation model
Google DeepMindFeaturedSame story · 3 outlets6666Google DeepMind releases AlphaGenome 2, a conditional DNA sequence model that can predict the impact of DNA mutations on gene expression for specific cell types or states.
Why it matters: Officially disclosed the conditional architecture modification and single-cell level evaluation comparison, which can understand how the model localizes the effect of mutation to specific cell types.
Google launches VLA robot model Gemini Robotics 2.5, achieving leaps in dexterity, reliability, and safety, with a success rate of 96% on the Mercedes production line. The model has tested 200 tasks, with a success rate 30%-100% higher than the baseline, a speed increase of 20%-30%, and is compatible with robots like Apptronik Apollo 2, adopting ASIMOV-Jailbreak benchmark to enhance jailbreak resistance to 99.5%.
Google has released the Gemini 4 Carbon model, which is its most powerful reasoning model to date. The model has a unified context window of 1,048,576 tokens, with a maximum standard synchronous request output of 65,536 tokens, expandable to 1,048,576 tokens via the Long Decode mechanism.
The DecoderSame story · 9 outletsGoogle has released the Gemini 4 Carbon model, showing better reasoning performance than Fable 5.2 in the Artificial Analysis test, complementing rather than replacing Gemini 4 Argon, which is more suitable for most software engineering tasks.
The DecoderSame story · 3 outletsGoogle DeepMindFeaturedSame story · 9 outlets8787Google DeepMind has opened Gemini 4 Carbon to developers, enterprises, scientists, and consumers, claiming it has reached cutting-edge levels in network security capabilities and long-range intelligent agent workflows.
Why it matters: The official provides the positioning division of roles between Carbon and Argon, multiple benchmark rankings, and cost comparisons per task to help determine when to use a heavier model.
The Verge · AIFeaturedSame story · 9 outlets8585Google has expanded the limited release of Gemini 4 Carbon to all paid developers and enterprises, calling it its strongest model.
Google DeepMindFeaturedSame story · 3 outlets7676Google DeepMind released Gemini Robotics 2.5, claiming it is the most capable vision-language-action (VLA) model to date, with a 30% to 100% increase in success rate on 200 tasks compared to previous baselines, and 20% to 30% faster task completion speed.
Why it matters: Officially disclosed were 200 task evaluations and actual production line test data showing a 96% success rate for Mercedes-Benz, which can be used to judge the extent of VLA model deployment in real industrial scenarios.
The DecoderAnthropic's Fable 5.2 completed 41.3% of real freelance tasks, an increase of 38.5% compared to last year. The model excelled in areas such as 3D modeling, audio editing, and architectural design, successfully completing nearly 50 complex projects that previous AI models could not solve. Its direct predecessor, Fable 5.1, only completed 17.8%, while Opus 5.5 and GPT 6 Astra ranked behind with 21.25% and 20.83% respectively.
Google Developers Blog5858Google Cloud releases MaxText v0.2.4, supporting long-context training on TPUs, achieving 70% MFU for sequences of 4 million tokens with the Llama 3.1 8B model on TPU 5p using MaxText Context Parallelism technology, seamlessly scalable to 14 million tokens on TPU 5p and TPU 7
Google has launched the AI video generation model Gemini Omni 1.2 Flash, natively supporting the longest 15-second video, with a duration limit increased by 50% compared to the previous generation's 10 seconds. Users can set the generation duration from 3 seconds to 15 seconds in 1-second increments.
360's self-developed AI security offense and defense system, DragonBox, tops the CyberGym rankings with a 99.4% vulnerability reproduction success rate, with independent evaluation success rates of 99.27%, 99.47%, and 99.40% over three rounds.
Why it matters: The original text provides DragonBox's success rates in the three rounds of CyberGym evaluations and its training routes, allowing readers to judge the approach of large security models combined with intelligent swarm agents.
MarkTechPostFeaturedSame story · 6 outlets7272Google releases video generation and editing model Gemini Omni 1.2 Flash, natively supporting up to 15-second clips, with 720p video pricing at $0.07 per second, a reduction of about 30% compared to Omni 1.1 Flash
Google launched the video generation model Gemini Omni 1.2 Flash on November 5 local time, and fully opened it in Gemini API and Gemini for Business. The model introduces native 15-second video creation, multi-round conversational editing, and enhanced reference following capabilities, with a 30% price reduction compared to Gemini Omni 1.1, priced at $0.07 per second in 720p resolution.
Google has launched the Gemini Omni 1.2 Flash video generation model and made it available on the Gemini API and the Gemini for business platform. The new native version supports videos up to 15 seconds long, with customizable durations from 3 to 15 seconds in 1-second intervals. The 720p generation price is $0.07 per second, a 30% reduction compared to the 1.1 version.
The DecoderFeaturedSame story · 6 outlets9292Google DeepMind has made the Gemini Omni 1.2 Flash video generation model generally available, extending clip duration from a maximum of 10 seconds to 3 to 15 seconds, and reducing the price of 720p video to 0.07 USD per second, a 30% decrease from the previous generation.
Google AI BlogFeaturedSame story · 6 outlets7878Google has released Gemini Omni 1.2 Flash and has officially opened it through the Gemini API and Gemini for business. The duration of native video generation has increased from 10 seconds in Omni 1.1 to 15 seconds, with a step length of 1 second specified from 3 to 15 seconds. The price of 720p has been reduced to 0.07 US dollars per second, a decrease of 30% from 1.1.
Google DeepMindFeaturedSame story · 6 outlets7878Google DeepMind has released Gemini Omni 1.2 Flash, increasing the native video generation duration from 10 seconds in Omni 1.1 to 15 seconds, and it has been fully opened in the Gemini API and Gemini for business.
Why it matters: The original text lists specific changes in duration, price, and reference consistency, allowing readers to judge how the cost and workflow of video generation will change.
Google released Gemini 4 Carbon, topping the Artificial Analysis Intelligence Index 5.0 with a score of 59, achieving 65.2% on Terminal-Bench 4.0, higher than Claude Opus 5.5's 59.6% and GPT-6 Astra's 59.1%.
Latent SpaceFeatured8282Google DeepMind released Gemini 4 Carbon, only two weeks after Argon, claiming to achieve SOTA in cybersecurity and long-period tasks, ranking first with a score of 59 on the Artificial Analysis Intelligence Index v5.
Why it matters: Summarizes the positions and pricing of Gemini 4 Carbon on multiple independent lists, and lists the gaps in coding, hallucination rate, etc., compared to competitors.
Google has released the new front-end AI model Gemini 4 Carbon, used for maintaining cybersecurity defenses and handling complex engineering problems. It can handle long-process AI agent tasks, generate secure code, and reduce the proportion of model inaccuracy and fabricated information.
The Verge · AISame story · 9 outletsGoogle has released its latest large model, Gemini 4 Carbon, achieving 'significant improvements' in coding, agent tasks, and network security. The model ranked first in the AI Analysis Index (v5.0) benchmark test and performed excellently in the SEC-bench Pro and ExploitGym evaluations.
Google has officially released the next-generation cutting-edge large model Gemini 4 Carbon, featuring top-tier cybersecurity capabilities and long-range task processing, ranking first with a score of 59 in the Artificial Analysis Intelligence Index v5.0.
The DecoderFeaturedSame story · 9 outlets8989Google DeepMind launched Gemini 4 Carbon two weeks after Argon, a model that topped the Artificial Analysis Intelligence Index v5.0 with 59 points, surpassing the previous Argon with 50 points.
MarkTechPostFeaturedSame story · 9 outlets8080Google DeepMind has launched Gemini 4 Carbon, describing it as a cutting-edge model for long-period intelligent agent coding and cybersecurity defense, ranking first with 59 points on the Artificial Analysis Intelligence Index v5.0.
Ars Technica · AISame story · 9 outlets6565Google has released Gemini 4 Carbon, reaching new thresholds in coding, agent tasks, and scientific analysis, but it has not yet been made available for use. The model significantly enhances vulnerability detection, validation, and repair capabilities in cybersecurity applications, with a 200% higher probability of generating bug-free code compared to Argon and a 10 times greater ability to generate high-quality patches compared to non-Google models.
Artificial Analysis ArticlesFeaturedSame story · 9 outlets8585Google's Gemini 4 Carbon ranked first with 59 points on the Artificial Analysis Intelligence Index v5, leading in four out of nine evaluation items: HLE-Diamond, Terminal-Bench-Science, AA-Omniscience, and AutomationBench-AA
