Google Gemini 4 Carbon Model: Price, Benchmarks and Argon Comparison

Trang Tran

Trang Tran

November 11, 2026

Google Gemini 4 Carbon AI model overview with benchmarks and pricing details.

Google Gemini 4 Carbon model explained: price, benchmarks, Carbon vs Argon vs Opus 5.5, and how to try Gemini 4 Argon and Opus 5.5 with 1min.AI.

The Google Gemini 4 Carbon model is Google DeepMind’s strongest AI model, built for complex software engineering, long-running agent workflows, scientific research and cybersecurity. It costs $2 per million input tokens and $10 per million output tokens during the introductory period, the same as Gemini 4 Argon. So is the extra power worth it, and do you need it at all? This guide covers Carbon’s release date, pricing, benchmarks and how it compares with Argon and Claude Opus 5.5, so you can pick the right model for your work.

Key takeaways

  • What it is: Google’s top Gemini 4 model for hard, multi-step tasks.
  • Release date: Shared with cyber defenders on October 28, 2026. Opened to paying developers, enterprises and Google AI Ultra subscribers on November 10, 2026.
  • Price: $2 input and $10 output per 1M tokens, scheduled to rise to $4 and $20. Cached input is 95% cheaper.
  • Benchmarks: First on the Artificial Analysis Intelligence Index v5 (59), but behind Claude Opus 5.5 on coding agent tests and higher on hallucination than Argon.
  • On 1min.AI: Carbon is not integrated yet. Gemini 4 Argon and Claude Opus 5.5 are.

What Is the Google Gemini 4 Carbon Model?

Gemini 4 Carbon is a proprietary frontier model from Google DeepMind and the second model in the Gemini 4 family after Argon. Google says Argon remains the better fit for most software engineering and knowledge work. Carbon is built for tasks that test a model’s limits, such as multi-step debugging, open-ended scientific research and long verification loops. It spends more tokens than Argon to reason deeply.

Gemini 4 Carbon Release Date and Public Availability

Google first gave Carbon to a subset of cybersecurity defenders on October 28, 2026 through its Fairwind Program. The public release date for broader access was November 10, 2026. You can now reach it through:

  • Developers: the paid Gemini API tier in Google AI Studio and Android Studio.
  • Enterprises: Gemini for business, Google Antigravity and CodeMender.
  • Consumers: the Gemini app and AI Mode in Search, for Google AI Ultra subscribers.
  • Scientists: a rolling application program for free Antigravity access.

What Gemini Carbon 4 Can Do

  • Long-horizon agentic work: tracks bugs, refactors large codebases and runs verification loops.
  • Multimodal file reasoning: reads text, images, audio, video and PDFs, including dense charts and schematics.
  • Cybersecurity: finds, exploits and patches vulnerabilities for vetted defenders.
  • /swarm in Google Antigravity: turns one prompt into a team of agents, with Carbon handling architecture and auditing.
  • Large context: about 1M tokens, as reported by independent trackers.

Infographic detailing Gemini 4 Carbon's capabilities: advanced coding, scientific research, cybersecurity, and multimodal reasoning.

Gemini 4 Carbon Pricing

Google lists the same introductory price for Carbon as for Argon, with a scheduled increase afterward.

ComponentIntroductory priceStandard price
Input (per 1M tokens)$2$4
Output (per 1M tokens)$10$20
Cached input95% off input price95% off input price

Google’s announcement gives no end date for the introductory rate. Check the Gemini API pricing page before you budget.

Gemini 4 Carbon Pricing Per Task, Not Just Per Token

Carbon is verbose. Artificial Analysis recorded about 200M output tokens for a full index run, against a median of 64M. Even so, its cost per task was $7.76, versus $10.04 for Claude Opus 5.5 (max) and $7.68 for Argon. Set token budgets and output caps before running long agent jobs.

Gemini 4 Carbon API pricing comparison showing introductory vs standard rates.

Gemini 4 Carbon Benchmarks

BenchmarkGemini 4 Carbon resultSource
Intelligence Index v559, ranked first (about 9 points above Argon)Artificial Analysis
Coding Agent Index59 (Claude Code with Opus 5.5: 62)Artificial Analysis
Hallucination rate11% (Argon: 4%)Artificial Analysis
CursorBench 4.0, WANDR, AutomationBench#1, over 2X lower cost per task than the next best external modelGoogle
Multimodal Knowledge Agent#2, over 6X lower average cost than the top modelGoogle
Gray Swan indirect prompt injection0% attack successGoogle
Agentic honesty (375 tasks)92% passed (Argon: 70%)Google

How to Read the Gemini 4 Carbon Benchmark Scores

Vendor-reported scores are useful but unreplicated. Google also ran its cybersecurity benchmarks without guardrails, so a restricted deployment may score differently. The independent picture is strong overall but not best everywhere. Carbon leads on general intelligence and trails on coding agents.

Chart comparing Gemini 4 Carbon's intelligence, coding, and hallucination rates against competitors.

Gemini 4 Carbon vs Argon: Which Model Should You Use?

Gemini 4 Carbon and Argon share the same introductory price, so the real question is task difficulty.

FactorGemini 4 CarbonGemini 4 Argon
Best forHardest engineering, research, securityMost coding and knowledge work
Intelligence Index v559About 50
Hallucination rate11%4%
Token useHigherLower
Cyberattack breach rate (Google test)0.8% per attempt3.1% per attempt
AvailabilityPaid API, Ultra plansGenerally available since October 13, 2026

When Argon Is the Smarter Choice

  • You need factual accuracy and lower hallucination risk.
  • You run high-volume daily tasks where tokens add up.
  • You want a model you can use right away in your workflow.

When Carbon Is Worth the Extra Tokens

  • You debug across many files and subsystems.
  • You run long agent loops with verification.
  • You analyze dense technical documents or scientific data.

Comparison chart showing Gemini 4 Carbon, Argon, and Claude Opus 5.5 AI models.

Gemini 4 Carbon vs Claude Opus 5.5 and Fable 5.2

Against Claude Opus 5.5, Carbon ranks higher on the Artificial Analysis Intelligence Index and costs about 23% less per task. Opus 5.5 leads on coding agents (62 vs 59), and the two are nearly tied on the Vals Index (70.36% vs 70.18%).

For Claude Fable 5.2, Anthropic’s top-tier model, we found no verified head-to-head benchmark with Carbon. Test both on your own prompts before you commit. You can read more about Claude Fable 5.2 in our separate guide.

Try Gemini 4 Argon and Claude Opus 5.5 on 1min.AI

Gemini 4 Carbon is not available on 1min.AI. If you want frontier Gemini 4 performance today, Gemini 4 Argon and Claude Opus 5.5 are, in one workspace, so you can compare outputs side by side.

What You Can Do With Argon and Opus 5.5

  • Multi AI Chat: run the same prompt on both models and compare.
  • Writing tools: Keyword Research, Content Generator, Rewriter, Content Expander, Content Shortener, Content Translator, Paraphraser, Summarizer and Grammar Checker.
  • Document and code tools: Document Translator, Presentation Generator and Code Generator.

See how fast it works in this demo:

Gemini 4 Argon API Access for Developers

Both models are also available by API. Read how to use the Gemini 4 Argon API, or see how one API reaches several model families:

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Gemini 4 Carbon FAQs

Is Gemini 4 Carbon available to the public?

Yes. Google opened Carbon to paying developers, enterprises and Google AI Ultra subscribers on November 10, 2026. Free Gemini users do not get it.

How much does Gemini 4 Carbon cost?

$2 per million input tokens and $10 per million output tokens during the introductory period. The scheduled standard price is $4 and $20.

Is Gemini 4 Carbon better than Argon?

Carbon scores higher on intelligence and security tests. Argon has a lower hallucination rate and uses fewer tokens, so it suits most everyday work.

What is the context window of Gemini 4 Carbon?

Independent trackers list about 1M tokens. Google’s launch post does not state it, so confirm in the official documentation.

Can I use Gemini 4 Carbon on 1min.AI?

Not yet. You can use Gemini 4 Argon and Claude Opus 5.5 on 1min.AI, including through the API.

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