Gemini 4 Carbon

Anthropic is pursuing two major moves at once: launching an IPO roadshow to raise up to $64.35 billion at a $1T-$1.4T valuation with Google and Nvidia participating, and releasing Claude Fable 5.2 and Claude Mythos 5.2, which it claims surpass GPT-6 Astra in coding with 30% faster output and 20% lower cost. Google also opened its strongest reasoning model Gemini 4 Carbon the same day, intensifying frontier model competition.

Google and evaluation firm Artificial Analysis released MKA, a benchmark of 200 multimodal knowledge-work tasks spanning 10 industries that mirror 3-8 hours of expert human effort. Gemini 4 Carbon placed second while costing roughly one-sixth of the top model per task, and the benchmark is now open to developers via Artificial Analysis.

Google has opened access to Gemini 4 Carbon, its most capable reasoning model to date, targeting complex software engineering, multi-step agentic tasks, scientific research and cybersecurity. It offers a unified context window of roughly 1.05 million tokens, accepts text, image, video, audio and PDF inputs, and provides three reasoning-effort tiers; it is available to paid developers via the Gemini API and AI Studio at an introductory price of $2 per million input tokens and $10 per million output tokens.

Google has opened Gemini 4 Carbon, previously limited to a subset of cyber defenders, to all users, calling it its best Gemini yet. Launch pricing is $2 per million input and $10 per million output tokens, matching GPT-6.1 Sol and Claude Sonnet 5.5, but doubles to $4/$20 on December 1. The model exposes low, medium and high thinking efforts, defaulting to medium.

Arena.ai's Agent Arena analysis finds that Gemini 4 Carbon becomes increasingly cost-competitive as task complexity rises. On typical tasks, GPT-6 Astra costs about 3.4x and Claude Opus 5.5 about 3.9x as much as Carbon, while across the most expensive 5% of sessions Opus rises to 4.2x and Astra's cost roughly doubles relative to Carbon. The finding is relevant for budgeting long-horizon agent workloads.

Google DeepMind and Artificial Analysis have partnered to launch MKA (Multimodal Knowledge Agent), a benchmark evaluating how well agents handle visually complex tasks such as cross-referencing blueprints and reading scientific charts, which existing evaluations do not cover. Gemini 4 Carbon ranks second on the benchmark at 6x lower average cost per task than the top model.

Google has made Gemini 4 Carbon generally available after a two-week testing phase, positioning it for demanding work such as multi-step coding, debugging and scientific research, complementing Gemini 4 Argon at the cost of higher token consumption. Google also previewed the /swarm feature in Antigravity, which turns a single prompt into a coordinated team of agents. Arriving amid rapid rival releases, the launch already feels late in the current model cycle.

Google has opened Gemini 4 Carbon, its strongest model, to all paying developers and Google AI Ultra subscribers, ending a two-week restriction to cybersecurity defenders in its Fairwind Program. Carbon keeps Gemini 4 Argon's introductory pricing of $2/$10 per 1M input/output tokens but spends more tokens on reasoning and verification, ranking first on CursorBench 4.0, WANDR and AutomationBench at less than half the per-task cost of the next-best outside model.

Google released Gemini 4 Carbon just two weeks after Argon, positioning it for sustained long-horizon tasks. Early testing shows 0% shortcut rate on Terminal-Bench and 0% prompt-injection success on Gray Swan's benchmark, 2x the secure-code rate of Argon, and 88% vulnerability detection on Sec-Bench Pro. Pricing at $2/$10 per million tokens with 95% off cached input makes multi-day agents economically viable.

Google has made Gemini 4 Carbon generally available to developers, enterprises, scientists, and consumers, positioning it as its strongest frontier model for cybersecurity capabilities and long-horizon agentic workflows. Carbon sits above Gemini 4 Argon and targets extreme tasks such as complex multi-step coding, debugging, and open-ended scientific research, while Argon remains the default for most software engineering and knowledge work. Carbon was previously released to select cybersecurity defenders through the Fairwind Program.