Google DeepMind's #1 frontier AI model (Gemini Carbon 4) for long-horizon agentic coding, cybersecurity defense, and 1M-token multimodal reasoning.
Estimated monthly website visits
Similarweb estimates for this domain, not active users. Only available observation months are shown; collection date is separate from the traffic period.
Collected Nov 10, 2026
This is our editors' assessment out of 5, not an average of user ratings. The viewpoints on this page are written by AI from what we know about the product. They are not customer reviews.
According to OpenAITools.app telemetry verified on 2026-11-10, Gemini 4 Carbon (Gemini Carbon 4) (deepmind.google) is an AI platform indexed under Large Language Models (LLMs) generating 4.34M monthly visits with a month-over-month traffic delta of +489.77K (+12.7%). Its primary geographic market is United States (23% traffic share), and it operates on a Freemium pricing model. Top competing alternatives by monthly volume include OpenAI Platform (234.68M visits/mo), OpenRouter (19.94M visits/mo), Together AI (1.65M visits/mo).
Insane coding agent capability, handled a 3-day refactor without breaking a sweat.
Absolute beast.
Found vulnerabilities in our legacy codebase that scanners missed for years.
The 1M context window actually holds up under heavy multi-file operations.
AI-synthesized perspectives grounded in live site inspection, pricing structure, and category benchmarks — presented as editorial viewpoints rather than individual customer testimonials.
Leads overall frontier intelligence across HLE-Diamond, Terminal-Bench-Science (64.8%), AA-Omniscience, and AutomationBench-AA, scoring 9 points higher than Gemini 4 Argon at comparable per-task cost ($7.76).
State-of-the-art autonomous vulnerability discovery (88.2% SEC-bench Pro), exploit validation (54.8% ExploitGym), and root-cause patching (71.0% CWE-bench), generating 2x more secure code than Argon.
Persists for days through dead ends and complex tool-call loops across large codebases and low-level systems, scoring 65.2% on Terminal-Bench 4.0 and 1768 Elo (#4, +89 Elo) on WebDev Arena.
Processes text, code, images, audio, speech, and video within a 1-million-token context window, achieving 96.2% F1 on 256K–1M GraphWalks and 72.5% on Chartography.
Combines chain-of-thought monitoring, real-time misuse defenses, and high-pressure alignment training that cuts unsupported claims and fabrications by 2x compared to Gemini 4 Argon.
Gemini 4 Carbon (frequently searched as Gemini Carbon 4) is Google DeepMind's flagship frontier model announced on October 28, 2026, arriving just two weeks after Gemini 4 Argon. Built for sustained, multi-day agentic engineering and autonomous cyberdefense, Gemini 4 Carbon debuted at #1 on the Artificial Analysis Intelligence Index v5.0 with a score of 59—outperforming Claude Opus 5.5 (58), GPT-6 Astra (57), and Gemini 4 Argon (50) while using 29% fewer output tokens per task than Claude Opus 5.5.
Across the cybersecurity defense lifecycle, Gemini 4 Carbon establishes a decisive frontier lead: it scores 88.2% on SEC-bench Pro for discovering real-world software vulnerabilities, 54.8% on ExploitGym for validating exploitability, and 71.0% on Collinear's CWE-bench for generating root-cause patches. Internal Google evaluations show more than a 2x uplift in generating vulnerability-free code over Gemini 4 Argon, and the Chrome security team reported 10x higher patch quality compared to competing frontier models. Beyond security, Carbon jumps +89 Elo to #4 (1768) on WebDev Arena, reaches 96.2% F1 on GraphWalks (256K–1M long-context reasoning), scores 80.0% on RiemannBench, and ranks #1 of 93 models on Vals AI's Legal Research Bench.
Google is rolling out Gemini 4 Carbon through a deliberate staged release: initial access began via Google's Fairwind Program for vetted cybersecurity defenders and U.S. government pre-release testing partners, followed by broader availability across Google AI Ultra and Pro subscriptions, Google AI Studio, Vertex AI, and the agent-first Google Antigravity IDE. API pricing launches with a 50% introductory discount at $2.00 per 1M input tokens and $10.00 per 1M output tokens ($4.00 / $20.00 standard pricing after the promotional period), with cached input tokens discounted by 95% ($0.10–$0.20 per 1M).
Audit massive C/C++, Rust, and web repositories to uncover zero-day flaws, verify exploitability in sandboxed harnesses, and generate production-ready security patches.
Run Gemini 4 Carbon inside Google Antigravity or CLI agents for multi-hour root-cause analysis, full-stack web architecture, and cross-repository migrations.
Analyze thousands of legal filings, financial disclosures, or scientific papers in a single prompt with #1 Legal Research Bench accuracy and 80.0% RiemannBench reasoning.
Side-by-side telemetry comparison of competing AI tools in the same primary category
| Rank | AI Tool | Monthly Visits | MoM Growth | Direct traffic share | Pricing | Head-to-Head |
|---|---|---|---|---|---|---|
| ● | Gemini 4 Carbon (Gemini Carbon 4) | 4.34M | +12.7% | 21% direct | Freemium | Current |
| 1 | OpenAI Platform Industry-standard proprietary frontier models with powerful developer APIs, but lacks Google's native massive context window. | 234.68M | -9.6% | 45% direct | Paid | vs OpenAI Platform |
| 2 | OpenRouter Unified API gateway offering access to hundreds of models, but lacks a single native frontier model. | 19.94M | -6.2% | 60% direct | Paid | vs OpenRouter |
| 3 | Together AI Serverless inference for open-source models with high-performance GPU clusters, but requires managing your own model weights. | 1.65M | +64.9% | 54% direct | Freemium, Paid | vs Together AI |
| 4 | DeepSeek Highly efficient reasoning models with exceptionally low API pricing, but offers less specialized multimodal agentic tooling. | 372.76M | +4.3% | 78% direct | Freemium | vs DeepSeek |
| 5 | Qwen 4 (Alibaba Qwen4) Powerful open-weight multimodal models with strong multilingual support, but requires self-hosting or third-party inference. | 35.1M | -6.2% | 71% direct | Freemium | vs Qwen 4 (Alibaba Qwen4) |
| 6 | DeepInfra Extremely cost-effective serverless inference for open-source models, but lacks enterprise-grade agent orchestration features. | 457.81K | -8.9% | 52% direct | Paid | vs DeepInfra |
Industry-standard proprietary frontier models with powerful developer APIs, but lacks Google's native massive context window.
Industry-standard proprietary frontier models with powerful developer APIs, but lacks Google's native massive context window.
Unified API gateway offering access to hundreds of models, but lacks a single native frontier model.
Unified API gateway offering access to hundreds of models, but lacks a single native frontier model.
Serverless inference for open-source models with high-performance GPU clusters, but requires managing your own model weights.
Serverless inference for open-source models with high-performance GPU clusters, but requires managing your own model weights.
Free / Open-sourceHighly efficient reasoning models with exceptionally low API pricing, but offers less specialized multimodal agentic tooling.
Free / Open-sourceHighly efficient reasoning models with exceptionally low API pricing, but offers less specialized multimodal agentic tooling.
Free / Open-sourcePowerful open-weight multimodal models with strong multilingual support, but requires self-hosting or third-party inference.
Free / Open-sourcePowerful open-weight multimodal models with strong multilingual support, but requires self-hosting or third-party inference.
Extremely cost-effective serverless inference for open-source models, but lacks enterprise-grade agent orchestration features.
SpecialistZhipu AI's robust GLM language and multimodal APIs, but with less global developer ecosystem support.
SpecialistZhipu AI's robust GLM language and multimodal APIs, but with less global developer ecosystem support.
SpecialistMultimodal foundation models covering video, audio, and text, but with different ecosystem tooling than Google.
SpecialistMultimodal foundation models covering video, audio, and text, but with different ecosystem tooling than Google.
Free / Open-sourceLightweight open-weights models from Google for local deployment, but less capable than frontier closed models.
Free / Open-sourceLightweight open-weights models from Google for local deployment, but less capable than frontier closed models.
SpecialistComprehensive multimodal foundation model family from Tencent, but primarily targeted at Asian enterprise markets.
SpecialistComprehensive multimodal foundation model family from Tencent, but primarily targeted at Asian enterprise markets.
SpecialistNatively multimodal models specialized in real-time video and image processing, but with smaller community adoption.
SpecialistSecure enterprise inference platform routing multiple frontier models, but specialized primarily around code workspaces.
SpecialistSecure enterprise inference platform routing multiple frontier models, but specialized primarily around code workspaces.
