Gemini 4 Argon

Google opened Gemini 4 Carbon, its newest reasoning model, to paying developers and enterprises on November 10. Introductory API prices expire November 30, and standard input and output rates double on December 1, according to eWeek.

Google has released Gemini 4 Argon, a general-purpose physical-reasoning model for robot control, Real2Sim scene construction, robot video labeling and iterative policy improvement. Google reports 87% on the ERQA benchmark using pure reasoning, and says that leads other frontier models. It is available to Google AI Ultra subscribers and via the paid Gemini API as gemini-4-argon.

Google says an 11-hour unattended run of Gemini 4 Argon produced two accepted optimizations for its Agent Development Kit (ADK), cutting in-memory session-preparation overhead by about 40% in long sessions and cold package import time by 21%. Argon also produced 4 modifications that developers rejected on review.

Google is expanding the Google Maps integration in the Gemini app's Personal Intelligence to cover users' Maps searches and saved places. Separately, an in-app notice tells AI Ultra subscribers that Gemini 4 Argon will "replace Deep Think soon."

Four AI agents running on Google's Gemini 4 Argon beat Minecraft, including the Ender Dragon, with no human input. The run took 27 hours and 14 minutes and cost $1,620 at the model's standard 2027 pricing.

Google DeepMind's Gemini 4 Argon scored 97.5% on ARC-AGI-3 at a cost of $4,800 using the Provider Adapter Harness, according to ARC Prize. Under the Standard Harness it falls to 49.8%, and Epoch AI places it eighth on its Math ECI and sixth on its SWE ECI.

Cline v4.1.25 introduces Cline Cloud sessions, which run tasks in a hosted sandbox on a chosen GitHub repo and branch, and is rolling out gradually. The release also changes default models for more than 25 providers and fixes a five-minute timeout affecting local models in LM Studio and Ollama.

Google is rolling out Gemini 4 Argon, its latest flagship model, to the Antigravity agentic development platform for AI Pro and AI Ultra subscribers. Argon has a separate weekly-only quota on top of the existing Gemini 3.8 Flash quota. Google also published internal case studies, which are company-reported and not independently verified.

Google DeepMind is positioning Gemini 4 Argon as one model that controls robots, builds simulated training environments, and grades training data. Google claims 87% on the ERQA benchmark, ahead of Claude Opus 5.5 at 82.3%. Artificial Analysis's AA-Robotics test, published a day later, placed Argon third at 55 out of 100.

Starting November 13, 2026, Google AI Plus subscribers ($4.99/month) can no longer select Pro models in the Gemini app or AI Mode in Search. The tier keeps only Gemini Flash and Flash-Lite, while Gemini 4 Argon goes to AI Pro ($19.99/month) and AI Ultra.

Google DeepMind began a broad rollout of Gemini 4 Argon on Oct 13, 2026 and published details of its safety stack. The company claims the model solved all 12 end-to-end simulated cyberattack scenarios, up from five in the prior generation, and cut shortcut attempts on coding benchmarks to 2%.

Google has integrated Antigravity, its agent-first development platform, directly into the Gemini app for macOS as part of the Gemini 4 Argon rollout. Access requires an AI Ultra subscription, while the new model itself requires AI Pro or above. The update also renames and reorganizes several app features, including Gemini Spark, Skills and Connectors.

Google DeepMind says Gemini 4 Argon scores 87% on the Embodied Reasoning (ERQA) benchmark using pure reasoning, ahead of every other frontier model. A new robotics post demonstrates robot control, Real2Sim reconstruction, physical understanding, and self-improvement workflows. Pricing, context window, and availability were not disclosed.

Google DeepMind has released Gemini 4 Argon, its latest frontier model, globally via the API at an introductory $2 per 1M input tokens and $10 per 1M output tokens. Google claims it ranks #1 on the Vals Index. Context window, parameter count and training cutoff were not disclosed in the announcement.

Google is extending Gemini 4 Argon from AI Ultra to AI Pro subscribers in the Gemini app and AI Mode. The Gemini API costs $2 per 1M input tokens and $10 per 1M output tokens until November 30, 2026, then doubles to $4 and $20.

Google unveiled Gemini 4 Argon, its new flagship model, which sits behind only Claude Opus 5.5 and Claude Sonnet 5.5 on the Artificial Analysis Intelligence Index. Access begins with trusted cybersecurity partners, with no date given for wider availability.

Google has announced Gemini 4 Argon as its new frontier model, featuring a 1M output token limit (up from 64K) and claimed leads on coding, cybersecurity, and automation benchmarks. The model is rolling out first to Google AI Ultra subscribers and paid API customers.