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Gemini 4 Carbon: Specs, Pricing, Availability and Provider Benchmarks

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By NHI Mgmt Group, edited by Lalit Choda Updated 15 November 2026 14 min read
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Gemini 4 Carbon is Google's newest Gemini 4 model, released in November 2026 with different access rules on each Google surface and a price that doubles on 1 December 2026, so teams need exact facts before they build on it. This profile covers Gemini 4 Carbon (gemini-4-carbon) and its allowlisted cybersecurity variant, Gemini 4 Carbon for cyber (gemini-4-carbon-cyber-permissive). It sets out the model ID, release date, context window and output limits, prices before and after the introductory period, supported tools, regions, access restrictions, Google-reported benchmarks, the model card and data controls. It is written for developers, architects, security teams and buyers comparing Gemini 4 models.

Last checked: 2026-11-15.

This is an independent reference page from NHI Mgmt Group based on public provider documentation; it is not sponsored or endorsed by any provider. It uses Google's public documentation as of November 2026. Model details change, so confirm against Google's current documentation.

Key takeaways

  • Released on 10 November 2026. Google Cloud lists Gemini 4 Carbon as GA with a release date of 10 November 2026, the same day as Google's "Gemini 4 Carbon is now available" announcement.
  • Access differs by surface. Paying developers can use it through the Gemini API in Google AI Studio; on Google Cloud it is for verified enterprise customers in select regions; Google AI Ultra subscribers get it in the Gemini app, Antigravity and AI Mode.
  • Introductory price is $2 input and $10 output per million tokens. Google's announcement states this rises to $4 and $20 after the introductory period ends on 30 November 2026.
  • The context window is 1,048,576 tokens, shared with output. A single segment returns up to 65,536 tokens streamed or 32,768 non-streamed; long decodes can extend output on the v1beta1 API.
  • A cyber variant is allowlist only. gemini-4-carbon-cyber-permissive is for defensive security work through Google's Fairwind Program, in the global and us regions.

What is Gemini 4 Carbon?

Gemini 4 Carbon is a proprietary multimodal large language model from Google, released as generally available on 10 November 2026. Google Cloud's model page describes it as Google's frontier model for deep work on complex, real-world tasks in coding, finance, legal, cybersecurity and science, and Google's announcement calls it "our strongest model". It sits in the Gemini 4 line with Gemini 4 Argon and Gemini 4 Hydrogen.

The Gemini 4 Carbon model card states that Carbon is based on Gemini 4 Argon and refers readers to the Argon model card for architecture, training data and hardware details. Google's announcement positions Argon as the better fit for most software engineering and knowledge work and Carbon for harder tasks such as complex multi-step coding and debugging and open-ended scientific research, noting that Carbon uses more tokens than Argon to explore and verify more thoroughly. For the full Google line-up see Google Gemini Models, and for the sibling model see the Gemini 4 Argon profile.

On Google Cloud, Carbon is designated a Google Frontier Model subject to Section 34 of the Service Specific Terms, and the cyber variant a Google Frontier Cyber Model subject to Section 31.

Key facts at a glance

As of 2026-11-15. Source: Google Cloud Gemini 4 Carbon model page, Gemini 4 Carbon model card and Google's announcement.

FieldValueSource
ProviderGoogleGoogle Cloud model page; model card; announcement
Model ID (Gemini 4 Carbon)gemini-4-carbonGoogle Cloud model page; model card; announcement
Model ID (Gemini 4 Carbon for cyber)gemini-4-carbon-cyber-permissiveGoogle Cloud model page; model card; announcement
Release date (Gemini 4 Carbon)2026-11-10 (GA)Google Cloud model page; model card; announcement
Release date (Gemini 4 Carbon for cyber)Not stated by Google on the pages checked (2026-11-15); offered to defenders about two weeks before Carbon GA, per the announcementGoogle Cloud model page; model card; announcement
Status (Gemini 4 Carbon)GAGoogle Cloud model page; model card; announcement
Status (Gemini 4 Carbon for cyber)Generally available behind an allowlistGoogle Cloud model page; model card; announcement
Context window (Gemini 4 Carbon)1,048,576 tokens, unified input and outputGoogle Cloud model page; model card; announcement
Max output (Gemini 4 Carbon)65,536 per segment streamed, 32,768 non-streamed; up to 1,048,576 minus input with long decode (v1beta1)Google Cloud model page; model card; announcement
Modalities (in / out) (Gemini 4 Carbon)Text, image, audio, video / textGoogle Cloud model page; model card; announcement
Thinking levels (Gemini 4 Carbon)LOW, MEDIUM (default), HIGHGoogle Cloud model page; model card; announcement
Thinking levels (Gemini 4 Carbon for cyber)LOW, MEDIUM, HIGH (default)Google Cloud model page; model card; announcement
Knowledge cutoff (Gemini 4 Carbon)March 2026Google Cloud model page; model card; announcement
Based on (Gemini 4 Carbon)Gemini 4 Argon (model card)Google Cloud model page; model card; announcement
Based on (Gemini 4 Carbon for cyber)Gemini 4 CarbonGoogle Cloud model page; model card; announcement
Open weights / licenceNo / proprietaryGoogle Cloud model page; model card; announcement
ParametersNot stated by GoogleGoogle Cloud model page; model card; announcement

Google's comparison table for the cyber variant lists only its differences from Carbon (thinking default, computer use, regions, access), which is why other rows refer back to Carbon.

Release and version history

As of 2026-11-15. Source: Google Cloud model page and Google's announcements of 10 November 2026.

DateEventModel IDs
About two weeks before 2026-11-10Carbon offered to cybersecurity defenders through the Fairwind Program, per the GA announcementgemini-4-carbon-cyber-permissive
2026-11-10Gemini 4 Carbon GA on Google Cloud; announcement "Gemini 4 Carbon is now available"; developer post on building with Carbon in the Gemini APIgemini-4-carbon
2026-11-30End of introductory pricing, as announcedgemini-4-carbon
2026-12-01Announced price of $4 input and $20 output per million tokens appliesgemini-4-carbon

Google publishes no dated snapshot suffix for Carbon on the pages checked: the model ID is gemini-4-carbon. Gemini 4 Argon was released earlier, and the announcement describes Carbon as following it.

How much does Gemini 4 Carbon cost?

As of 2026-11-15. USD per million tokens. Source: Google's Gemini 4 Carbon announcement. The Google AI Studio pricing page checked on 2026-11-15 listed Gemini 4 Argon but no Carbon row, so only the announced figures are shown.

ItemPriceNotesSource
InputThrough 30 Nov 2026: $2; From 1 Dec 2026: $4NoneGoogle's Gemini 4 Carbon announcement
OutputThrough 30 Nov 2026: $10; From 1 Dec 2026: $20NoneGoogle's Gemini 4 Carbon announcement
Context cachingNot stated by Google on the pages checked (2026-11-15)NoneGoogle's Gemini 4 Carbon announcement
BatchNot stated by Google on the pages checked (2026-11-15)NoneGoogle's Gemini 4 Carbon announcement
Free tierPaid tier required (developer post)NoneGoogle's Gemini 4 Carbon announcement
Cyber variantNot stated by Google on the pages checked (2026-11-15)NoneGoogle's Gemini 4 Carbon announcement
  • Same introductory price as Argon: the announcement states Carbon's introductory price matches Argon's. The AI Studio pricing page lists Argon at $2 and $10 through 30 November 2026 and $4 and $20 from 1 December 2026.
  • Token use: Google's announcement and model card both note that Carbon uses more tokens than Argon, and more at higher thinking levels, so per-task cost depends on the thinking level chosen.
  • Consumption options on Google Cloud: Provisioned Throughput, batch inference, Standard PayGo and Priority PayGo are supported; fixed quota is not. Google Cloud prices are on its pricing page, which this profile did not check.

Context window and output limits

LimitValueNotesSource
Context window1,048,576 tokens, unified, includes output tokensNoneGoogle Cloud model page
Output per foreground segment65,536 streaming; 32,768 non-streamingNoneGoogle Cloud model page
Long decodeUp to 1,048,576 minus input tokens on v1beta1NoneGoogle Cloud model page
Request sizeGenerateContent 500 MiB compressed; Interactions 256 MiB compressed (synchronous or streaming), 9.75 MiB uncompressed (deferred)NoneGoogle Cloud model page
Media per promptUp to 3,000 images and documents, 10 videos, 1,000 audio filesNoneGoogle Cloud model page
Video and audio lengthAbout 45 minutes of video with audio or about 1 hour without; about 8.4 hours of audioNoneGoogle Cloud model page
Implicit caching minimum4,096 tokensNoneGoogle Cloud model page

Modalities and tools

  • Input and output: text, image, audio and video in; text out.
  • Supported: thinking, system instructions, structured output, implicit context caching, grounding (Google Search, Google Maps and others), code execution, function calling, URL context, computer use and agentic video understanding.
  • Not supported: RAG Engine, tuning, the Gemini Live API and explicit context caching. Setting thinking_budget or thinking_level "MINIMAL" returns HTTP 400.
  • Fixed sampling: temperature 1.0, topP 0.95, topK 64 and candidateCount 1; custom values are ignored.
  • APIs: GenerateContent, Interactions, Count Tokens and Chat Completions.
  • Cyber variant: computer use is not supported on gemini-4-carbon-cyber-permissive.

Computer use on Carbon brings the browser and desktop agent risks covered in the Computer Use and Browser Agents Guide.

Where is Gemini 4 Carbon available?

As of 2026-11-15. Source: Google's announcement, developer post and Google Cloud model page.

ChannelDetailsSource
Gemini API (Google AI Studio, Android Studio)All paying developers; paid tier of the APIAnnouncement; developer post; Google Cloud model page
Gemini Enterprise Agent Platform (Google Cloud)Verified enterprise customers in select regions; global, us and eu (ML processing in us and eu)Announcement; developer post; Google Cloud model page
Gemini for business (Gemini Enterprise)Via the API or the model dropdown, plus Google Antigravity and CodeMenderAnnouncement; developer post; Google Cloud model page
Gemini app and AI Mode in SearchRolling out to Google AI Ultra subscribersAnnouncement; developer post; Google Cloud model page
Google AntigravityGoogle AI Ultra subscribers; /swarm multi-agent feature in previewAnnouncement; developer post; Google Cloud model page
Carbon for cyberAllowlist through the Fairwind Program; global and us regionsAnnouncement; developer post; Google Cloud model page

Google's announcement also opened applications for scientists to receive free six-month access to Argon and Carbon through Antigravity's highest usage tier, subject to eligibility and selection. For API key and project controls see the Google Gemini API and AI Studio Security Guide and the Gemini Enterprise Security Guide.

Access restrictions

Model or surfaceWho can use it (as stated by Google)How to request
gemini-4-carbon, Gemini APIPaying developersPaid tier of the Gemini API
gemini-4-carbon, Google CloudVerified enterprise customers in select regionsNot stated by Google on the pages checked (2026-11-15)
gemini-4-carbon, consumer appsGoogle AI Ultra subscribersGoogle AI Ultra plan
gemini-4-carbon-cyber-permissiveAllowlist only, for defensive cybersecurity such as vulnerability discovery, reverse engineering, exploit verification and patch generationThrough a Google contact or the Fairwind Program; access to earlier Gemini cyber models does not carry over

The restricted variant and the general model share a name, so access reviews should check the exact model ID a project is allowed to call.

Benchmarks (provider-reported, dated)

All results below are reported by Google in its 10 November 2026 announcement. Google gave rankings and relative figures for most external evaluations rather than scores; no independent leaderboard results are included on this page.

EvaluationResult reported by GoogleComparator in the same sourceSource and date
CursorBench 4.0, Perplexity WANDR, Zapier AutomationBenchRanked first on eachMore than 2x lower cost per task than the next external modelGoogle announcement, 10 Nov 2026
Artificial Analysis Multimodal Knowledge Agent (MKA)Ranked secondMore than 6x lower average cost per task than the top modelGoogle announcement, 10 Nov 2026
Balyasny General Financial Intelligence (pre-release)Top of 23 frontier model configurationsNot namedGoogle announcement, 10 Nov 2026
Project Fortify (internal)100% recall on scanning, 95% precision on triageOver 25% relative recall gain over Argon on open-source repositoriesGoogle announcement, 10 Nov 2026
Simulated cyberattack testing (safety)99% of attack trajectories blocked; per-attempt breach rate 0.8%Argon: 3.1%Google announcement, 10 Nov 2026
Gray Swan automated cyberattack queries (safety)2.17% successArgon: 9.86%Google announcement, 10 Nov 2026
Agentic honesty benchmark, 375 tasks (safety)92% passedArgon: 70%Google announcement, 10 Nov 2026
Gray Swan IPI benchmark (prompt injection)0% success rateNot statedGoogle announcement, 10 Nov 2026

Google described Carbon as leading on SEC-bench Pro, ExploitGym and CWE-bench v1 without giving numeric scores, so those are not tabulated. The announcement itself notes that prompt injection robustness can still improve.

Model card and system card

Google publishes a Gemini 4 Carbon model card (November 2026) and a separate Gemini 4 Carbon Safety and Security Report, both linked from the announcement. The model card states:

  • Basis: built on Gemini 4 Argon; architecture, training data and hardware are in the Argon model card.
  • Inputs and outputs: text, images, audio and video in; text out; combined input-output window of up to 1M tokens; knowledge cutoff March 2026, possibly less current in some domains.
  • Intended uses: complex multi-step coding and debugging, open-ended scientific research, high-precision knowledge work and data analysis, multi-agent engineering tasks, and cybersecurity defence, vulnerability discovery and patching.
  • Known limitations: hallucinations, jailbreak resistance still being improved, occasional slowness or timeouts, and higher token use at higher thinking levels.
  • Internal safety evaluations versus Argon: text-to-text safety +3.50pp, multilingual safety +3.55pp, image-to-text safety -1.00pp, tone +0.10pp, unjustified refusals +0.10pp.
  • Frontier Safety Framework: the model card refers to the separate safety report and mentions strengthened safeguards for CBRN and cyber misuse; it does not state critical capability level outcomes itself.

See the Frontier AI Model Risk Frameworks Guide for how such reports are structured.

Data handling

  • Google Cloud controls: data residency, customer-managed encryption keys (CMEK), VPC Service Controls (VPC-SC) and Access Transparency (AXT) are listed for online prediction, batch inference and context caching.
  • Processing location: Google Cloud lists ML processing for Carbon in the us and eu multi-regions.
  • Terms: Carbon is subject to Section 34 of the Google Cloud Service Specific Terms, and the cyber variant to Section 31.
  • Gemini API retention and training use: Not stated on the Carbon pages checked (2026-11-15); confirm in the Gemini API terms for the paid tier before sending sensitive data.

Deprecation status

Model or itemDetailsSource
gemini-4-carbonStatus: GA; Discontinuation date: Not stated by Google on the pages checked (2026-11-15)Google Cloud model page
gemini-4-carbon-cyber-permissiveStatus: Generally available behind an allowlist; Discontinuation date: Not stated by Google on the pages checked (2026-11-15)Google Cloud model page

The scheduled change Google has announced is the price rise on 1 December 2026, not a retirement. Earlier Gemini cyber model access does not transfer to the Carbon cyber variant.

How Gemini 4 Carbon differs from other models in its family

As of 2026-11-15. Source: Google announcement, model card and AI Studio models page. Models are listed alphabetically.

ModelPositioning as stated by GoogleContextIntroductory price (in / out)
Gemini 4 Argon"Flagship reasoning model" (AI Studio); better fit for most software engineering and knowledge work (Carbon announcement)1M shared, long decodes up to 1M$2 / $10 to 30 Nov 2026
Gemini 4 Carbon"Our strongest model" (announcement); for harder multi-step coding, debugging and scientific research; uses more tokens than Argon1,048,576 unified$2 / $10 to 30 Nov 2026
  • Same window, different depth: both list a shared 1M window; the difference Google states is task difficulty and token use.
  • Different Cloud access: Carbon on Google Cloud is for verified enterprise customers in select regions.
  • Across providers: Anthropic also restricts a configuration of its frontier model for defensive cyber work; see the Claude Mythos (Preview, 5, 5.1, 5.2) profile and Frontier AI Models Compared.

Practitioner checklist

  • Record gemini-4-carbon or the cyber variant ID explicitly in the AI inventory and in project allow lists.
  • Budget for the 1 December 2026 price change and for higher token use at HIGH thinking level.
  • Do not send thinking_budget or thinking_level MINIMAL; use LOW, MEDIUM or HIGH.
  • Remove custom temperature and top-p settings from code, since Carbon ignores them.
  • Choose the us or eu endpoint where processing location matters, and apply CMEK and VPC-SC on Google Cloud.
  • Restrict which API keys and service accounts can call Carbon and review Gemini API key exposure. See the LLMjacking Guide.
  • Apply to the Fairwind Program separately if defensive security work needs the cyber variant.

Standards and references

Related NHI Mgmt Group resources: Google Gemini Models, Gemini 4 Argon, Frontier AI Models Compared, Google Gemini API and AI Studio Security Guide.

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NHIMG Editorial Note
Researched and written by the NHI Mgmt Group editorial team using AI tools, under the editorial direction of Lalit Choda. Facts are drawn from the sources listed on this page and checked by our automated quality process. Last updated 15 November 2026. Spotted an error? Use our contact page.
NHI Mgmt Group, the independent authority on Non-Human Identity, IAM and Agentic AI security. nhimg.org