AI model
Google's Gemini 4-generation frontier large language model, a Pro-class flagship.
Google DeepMind's Gemini 4 safety report says bugs block any pass on about a quarter of audited ML R&D challenges. DeepMind estimates fixing them would not change its risk call, but a post on lesswrong.com asks whether the benchmark can still rule out the automation threshold.
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Google DeepMind's Gemini 4 Argon scored 97.5% on ARC-AGI-3 at a $4,800 run cost in ARC Prize testing, second to GPT-6 Astra's 99.9%. The score depends on vendor-specific harness features, so it says less about a team's own workload than the headline implies.
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Google's free AI Pro trials omit Gemini 4 Argon in Antigravity and YouTube Premium Lite that $19.99-a-month subscribers get, 9to5Google reports. Trials bundled with Pixel, Chromebook and Galaxy purchases are affected, so a buyer can spend months testing a narrower product than the one they would pay for.
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Meta launched Muse Wonder and Muse Wonder Full and says they rival the best models from OpenAI and Anthropic. Both reports rest on Meta's own benchmark figures, so teams choosing a vendor have one more candidate to test on their own work.
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Google will cut Pro model access from its $4.99 AI Plus plan on November 13, leaving Flash and Flash-Lite. Keeping Pro means moving to AI Pro or above; at the $19.99 tier 9to5Google lists, that is $15 more a month per person.
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Google is rolling out Gemini 4 Argon to AI Pro subscribers in the Gemini app, where it was Ultra-only. Antigravity's own desktop app and CLI still require Ultra, 9to5Google reported.
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Google is rolling out Gemini 4 Argon in its Antigravity coding agent to AI Pro and AI Ultra subscribers on a separate weekly-only quota. Teams now have to decide which tasks justify spending it, and Google's own examples point to sorting them by what a miss would cost.
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Google DeepMind's Gemini 4 Argon report shows no significant acceleration in AI progress since April, though AI writes over 75% of the lab's code. The post-April rate is 30% above the earlier one, yet DeepMind's analysis finds no substantial difference.
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Google says Gemini 4 Argon turned one photo into more than 4,500 training episodes that raised a real robot's success rate from 56 to 75 percent. The Decoder reports the demos still need detailed human prompting, and access is through paid developer programs.
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Google prices Gemini 4 Argon at $2 input and $10 output per 1M tokens through Nov 30, then $4 and $20. Budgets built on the launch rates fall short by half from December 1, on figures a dev.to guide takes from Google's pricing page.
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Gemini 4 Argon beats Claude Opus 5.5 on 14 of 18 benchmarks in Google DeepMind's published scores, according to a dev.to comparison. Opus takes the other four, including Terminal Agents at 66.4 to 57.4.
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Google DeepMind's table puts Gemini 4 Argon ahead of GPT-6 Astra on 14 of 19 benchmarks, with four losses and one tie, The Daily Flare reports. Astra's wins cluster in terminal tests, so coding teams should run their own workloads.
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Google released Deep Review publicly on October 14, extending an agentic verifier tested on more than 16,000 manuscripts to Google Docs and presentations. Google says AI-assisted drafting has outrun human capacity to verify.
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DeepMind reports that Gemini 4 Argon scores 87% on the ERQA embodied reasoning benchmark. Its Spot and robot-arm demos run through a named skill and a set of action primitives, so they test planning over a control stack that already exists.
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Until November 30, Google's Gemini 4 Argon bills input at $2 per million tokens and output at $10 per million, then $4 and $20. Thinking tokens bill at the output rate, according to a dev.to walkthrough of Google's pricing page.
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Google said Gemini 4 Argon's API price doubles by the end of November 2026, from $2 to $4 per million input tokens, dev.to reports. A pilot budgeted at the launch rate understates the later bill by half.
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Gemini 4 Argon is documented as globally available with video input and a 1 million token window in the API, AI Studio and Antigravity, dev.to reports. Builders can scope against those features, though the webcam synthesizer demo has no first-party spec.
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Google is rolling out Gemini 4 Argon broadly and says it solved all 12 simulated end-to-end cyberattack scenarios, up from five. Every figure comes from Google's own post, and the foundational vulnerabilities it cites are still in responsible disclosure.
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Google says Gemini 4 Argon turned a video of a person throwing into a calibrated MuJoCo simulation, cutting setup from weeks to hours in an internal workflow. The speedup is Google's own measurement, as relayed by dev.to.
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Google made Gemini 4 Argon widely available and says it ranks #1 on the Vals Index at 68.90%. On the CWE-bench v1 security benchmark it ties two other models at 68%.
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