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Model Release·Technical Deep Dive

Gemini 4 Carbon: Google's New Table Leader, Gated to Cyber Defenders

Google DeepMind's Gemini 4 Carbon (announced Oct 28, 2026): tops 14 of 16 rows on Google's table, beats Argon on all 16. Fairwind-gated to cyber defenders; no public API. Announced intro $2/$10, then $4/$20. Scores self-reported by Google.

Jonathan Chavez
Jonathan Chavez
Co-Founder @ LLM Stats
·16 min read
Gemini 4 Carbon: Google's New Table Leader, Gated to Cyber Defenders

Key Numbers

Gemini 4 Carbon · Oct 28, 2026

0 of 16

rows ahead of Argon

Google's comparison table
0.0

ExploitGym vs Astra 42.4

10-hour run; 53.5 at default 6h
0.0

GraphWalks BFS F1

256k to 1M tokens, vs 84.2 for Argon
0.0

SEC-bench Pro

vulnerability finding
$0 / $0

per 1M tokens

announced introductory price, then $4 / $20

Access status

Access: cyber defenders via Fairwind. No public API yet. Scores self-reported by Google.

Scores self-reported by Google from the Gemini 4 Carbon comparison table and launch-blog charts. Not independently verified by third parties or by LLM Stats.

Google DeepMind announced Gemini 4 Carbon on October 28, 2026, two weeks after Gemini 4 Argon reached general availability. On Google's own comparison table, Carbon beats Argon on every row and posts the top score on 14 of 16. The widest leads sit in long context, exploitation, and knowledge work. Two clear losses remain: FrontierSWE 2 to GPT-6 Astra, and OSWorld-2.1 to Claude Opus 5.5.

Access is the gate. Carbon starts with a subset of cyber defenders, then phased trusted partners through Google's Fairwind Program. Developers, businesses, and consumers come "as soon as possible," with no date. There is no public API and no model code. Scores below are self-reported by Google.


At a Glance

  • Maker: Google DeepMind
  • Announced: October 28, 2026 (Google blog, Koray Kavukcuoglu), two weeks after Argon reached general availability
  • Google's framing:"our strongest model with state-of-the-art cybersecurity and long horizon capabilities"
  • Access: subset of cyber defenders now; phased trusted partners via Fairwind; developers, businesses, and consumers later with no date
  • Public API: none. No model code. Not in AI Studio, Vertex AI, the Gemini app, OpenRouter, or Vercel AI Gateway as of October 28, 2026
  • Context window / max output / cutoff: not published
  • Pricing (announced, not purchasable): introductory $2 / $10 per 1M (cached input $0.10), then $4 / $20 (cached $0.20). Intro end date not given
  • Google's table: ahead of Argon on 16 of 16 rows; top score on 14 of 16
  • Verification: scores self-reported by Google, not independently verified by third parties or by LLM Stats

Can I Use It? What to Do Now

Almost nobody can. Starting the week of October 28, 2026, Google is making Carbon available to a subset of cyber defenders, then gradually phasing access to additional trusted partners through the Fairwind Program. Google is engaged in the U.S. government's voluntary pre-release testing process. Developers, businesses, and consumers get Carbon "as soon as possible." No date.

Who qualifies for Fairwind

Priority partners: governments and national cyber authorities, critical infrastructure operators, and core technology platforms. Academic labs focused on defensive benchmarking may apply. Applicants are vetted. Access is only for internal cybersecurity, incident response, or penetration-testing teams. No sharing, redistribution, or resale. The program works with over 650 partners globally. As of October 28, 2026 the Fairwind page still describes Argon access, not Carbon. Non-eligible organizations are pointed to CodeMender with publicly available models.

Everyone else: ship on Argon

Build on Gemini 4 Argon now on the Gemini API paid tier (not the free tier), AI Studio, Gemini Enterprise, Antigravity, or the Gemini app on Google AI Ultra or Pro. Argon specs that matter today: 1,048,576-token context; thinking low, medium, high; implicit caching. Same announced introductory price as Carbon: $2 / $10 per 1M. Argon moves to $4 / $20 on December 1, 2026 (intro ends November 30, 2026). Keep prompts and evals model-agnostic so a Carbon swap is a config change when it ships.

Precedent, not a promise: Argon was announced September 30, 2026 with the same Fairwind-first, "as soon as possible" wording, and reached general availability October 13, 2026 (13 days later). Google has not said Carbon will follow that path.

Access rollout

Argon history · Carbon now

Gemini 4 Argon

history

Sep 30, 2026

Announced, Fairwind first

Same "as soon as possible" wording.

Oct 13, 2026

General availability

Gemini API paid tier, AI Studio, Enterprise, Antigravity, Gemini app.

Nov 30, 2026

Introductory price ends

$2 / $10 intro closes.

Dec 1, 2026

$4 / $20 standard

Cached input $0.20.

Gemini 4 Carbon

now

Oct 28, 2026

Announced; cyber defenders this week

Subset of cyber defenders via Fairwind.

No date

Additional trusted partners via Fairwind, phased

No date

Developers, businesses, consumers: as soon as possible

$2 / $10 intro, then $4 / $20, end date not given.

Argon's path is shown as history, not a forecast for Carbon. Sources: Google launch posts and Gemini API pricing page, Oct 28, 2026.

Benchmarks, by Job

Prefer Google's comparison table for the hero read. Columns: Gemini 4 Carbon, Gemini 4 Argon, GPT-6 Astra, Claude Opus 5.5, Claude Fable 5.1. Every score below is self-reported by Google. None of these scores has been independently verified by third parties or by LLM Stats. Methodology notes live on Google's evals methodology page.

Google's comparison table · by job

CarbonArgon

General

Vals Index v2.2
+1.2 vs Argon · +0.2 vs Opus 5.5
Carbon
70.4
Argon
69.2
GPT-6 Astra
65.0
Opus 5.5
70.2
Fable 5.1
not reported
not reported

Agentic coding

SWE-sweep
+5.3 vs Argon · +0.1 vs Astra

Gemini: Google's own runs with mini-swe-agent; peers from the public leaderboard

Carbon
9.6
Argon
4.3
GPT-6 Astra
9.5
Opus 5.5
3.6
Fable 5.1
2.9
FrontierSWE 2
+6.2 vs Argon · trails Astra by 4.3
Carbon
61.2
Argon
55.0
GPT-6 Astra
leader
65.5
Opus 5.5
62.3
Fable 5.1
56.3
Terminal-Bench 4.0
+8.1 vs Argon · +5.6 vs Opus 5.5

third-party run reported by Google

Carbon
65.2
Argon
57.1
GPT-6 Astra
59.1
Opus 5.5
59.6
Fable 5.1
52.0

Computer use

Agents' Last Exam v1.1
+8.4 vs Argon · +4.3 vs Astra

averaged rubric score

Carbon
77.4
Argon
69.0
GPT-6 Astra
73.1
Opus 5.5
71.6
Fable 5.1
not reported
not reported
OSWorld-2.1
+6.8 vs Argon · trails Opus 5.5 by 5.7

82-task offline subset, partial score

Carbon
81.5
Argon
74.7
GPT-6 Astra
80.9
Opus 5.5
leader
87.2
Fable 5.1
76.8

Knowledge work

AutomationBench
+2.6 vs Argon
Carbon
53.9
Argon
51.3
GPT-6 Astra
41.4
Opus 5.5
42.5
Fable 5.1
31.4
Vending-Bench 2
+$2,766 vs Argon · +$969 vs Astra
Carbon
$16,484
Argon
$13,718
GPT-6 Astra
$15,515
Opus 5.5
$9,235
Fable 5.1
$5,422

Multimodal understanding

Chartography
+0.9 vs Argon
Carbon
72.5
Argon
71.6
GPT-6 Astra
71.0
Opus 5.5
66.3
Fable 5.1
46.2
Blueprint-Bench 2
+4.2 vs Argon
Carbon
58.6
Argon
54.4
GPT-6 Astra
49.7
Opus 5.5
51.2
Fable 5.1
41.9

Long context

GraphWalks 256k to 1M, BFS F1
+12.0 vs Argon
Carbon
96.2
Argon
84.2
GPT-6 Astra
71.8
Opus 5.5
66.8
Fable 5.1
65.0

Science and math

RiemannBench
+4.0 vs Argon
Carbon
80.0
Argon
76.0
GPT-6 Astra
72.0
Opus 5.5
69.6
Fable 5.1
65.6
Terminal-Bench-Science 0.1
+11.9 vs Argon · +1.5 vs Astra

third-party run reported by Google; Argon 52.9 is from this same third-party setup in Google's table

Carbon
64.8
Argon
52.9
GPT-6 Astra
63.3
Opus 5.5
59.0
Fable 5.1
43.3

Cybersecurity

CWE-bench
+3.0 vs Argon
Carbon
71.0
Argon
68.0
GPT-6 Astra
68.0
Opus 5.5
67.0
Fable 5.1
58.0
ExploitGym
+12.8 vs Argon · +12.4 vs Astra

54.8 is the 10-hour run; default 6-hour score is 53.5

Carbon
54.8
Argon
42.0
GPT-6 Astra
42.4
Opus 5.5
34.5
Fable 5.1
not reported
not reported
SEC-bench Pro
+4.8 vs Argon · +2.8 vs Astra
Carbon
88.2
Argon
83.4
GPT-6 Astra
85.4
Opus 5.5
not reported
not reported
Fable 5.1
not reported
not reported
Scores self-reported by Google. Peer scores as published in Google's Gemini 4 Carbon comparison table and may differ from each developer's own reports. Argon's column can differ from Argon's launch table (for example Vals Index 69.2 here vs 68.9 at Argon's launch). Terminal-Bench 4.0 and Terminal-Bench-Science 0.1 are third-party runs reported by Google. SWE-sweep Gemini scores use Google's own harness. OSWorld-2.1 is the 82-task offline subset, partial score. Agents' Last Exam v1.1 is the averaged rubric score. ExploitGym 54.8 is the 10-hour run; the default 6-hour score is 53.5. Not independently verified by third parties or by LLM Stats.

Agentic coding

The biggest jump is Terminal-Bench 4.0 at 65.2 (a third-party run reported by Google), versus Argon 57.1 and Opus 59.6. SWE-sweep at 9.6more than doubles Argon (4.3) but is a dead heat with Astra (9.5): call it roughly tied. Gemini scores use Google's own mini-swe-agent harness; peers come from the public leaderboard. FrontierSWE 2 is the coding loss: Astra 65.5, Opus 62.3, Carbon 61.2. Carbon leads two of three coding rows and loses the third. Do not treat it as the top coding model on this evidence.

Computer use

Agents' Last Exam v1.1 at 77.4 (averaged rubric score) is +4.3 over Astra. OSWorld-2.1 at 81.5 (82-task offline subset, partial score) is +6.8 over Argon but 5.7 behind Opus 5.5 (87.2), Carbon's largest deficit on the table. Versus Astra (80.9) the OSWorld gap is +0.6: roughly tied.

Knowledge work

AutomationBench at 53.9 leads Opus 42.5 and Astra 41.4 by double digits. Vending-Bench 2 at $16,484 final bank balance leads Astra ($15,515) and Argon ($13,718).

Long context

GraphWalks 256k to 1M, BFS F1 at 96.2versus Argon 84.2, with no rival above 71.8. That is the largest lead on the table (+24.4 over Astra). Carbon's own context window is still not published; the 256k to 1M figure is the benchmark range.

Multimodal

Chartography at 72.5 versus Argon 71.6 and Astra 71.0 is a near tie: call it roughly tied. Blueprint-Bench 2 at 58.6 leads Opus 51.2 by 7.4.

Science and math

RiemannBench at 80.0 is +8.0 over Astra. Terminal-Bench-Science 0.1 at 64.8(a third-party run reported by Google) is +11.9 over Argon's 52.9from that same third-party setup in Google's table. Versus Astra at 63.3 the gap is +1.5: roughly tied.

General

Vals Index v2.2 at 70.4versus Opus 70.2 (+0.2): roughly tied. Footnote: Argon's column here is 69.2; Argon's own launch table printed 68.9.

Cybersecurity

Google's headline domain, evaluated without guardrails. ExploitGym at 54.8 (labeled as the 10-hour run; the default 6-hour score is 53.5) versus Astra 42.4, Argon 42.0, Opus 34.5: the biggest rival gap among cyber rows. SEC-bench Pro at 88.2 versus Astra 85.4. CWE-bench at 71.0versus a three-way 68.0 (Argon, Astra, and Grok 4.7 on Google's chart).

Cyber charts · self-reported by Google

CarbonPeers

ExploitGym

Causal pass rate. Time caps differ by model as labeled.

Carbon 54.8
Carbon 53.5
GPT-6 Astra 42.4
Carbon (10h) 54.8%Carbon (6h) 53.5%

SEC-bench Pro

183-task JavaScript-engine split, average of 3 attempts.

Carbon 88.2
GPT-6 Astra 85.4
Argon 83.4
Carbon 88.2%

CWE-bench

v1, pass@1, ties broken by pass@4.

Carbon 71.0
Grok 4.7 68.0
Argon 68.0
Carbon 71.0%

Gray Swan IPI

Indirect prompt injection attack success at k=15. Lower is better. Rail reversed.

Carbon 0.0
Argon 0.7
Opus 5.5 1.0
Carbon 0.0%
Google's launch-blog charts, self-reported by Google, evaluated without guardrails. On ExploitGym, Carbon 54.8 is the 10-hour run; the default 6-hour score is 53.5. Time caps differ by model as noted. Gray Swan IPI is attack success rate at k=15 (lower is better). Not independently verified by third parties or by LLM Stats.

Where it leads clearly

  • GraphWalks: 96.2 vs best rival 71.8 (+24.4)
  • ExploitGym: 54.8 (10h; 53.5 at 6h) vs Astra 42.4 (+12.4)
  • AutomationBench: 53.9 vs Opus 42.5 (+11.4)
  • RiemannBench: 80.0 vs Astra 72.0 (+8.0)
  • Blueprint-Bench 2: 58.6 vs Opus 51.2 (+7.4)
  • Terminal-Bench 4.0: 65.2 vs Opus 59.6 (+5.6)
  • Agents' Last Exam v1.1: 77.4 vs Astra 73.1 (+4.3)

Where it trails or ties

  • FrontierSWE 2: trails Astra 65.5 (Carbon 61.2) and Opus 62.3
  • OSWorld-2.1: trails Opus 87.2 (Carbon 81.5); roughly tied with Astra 80.9
  • Vals Index v2.2: 70.4 vs Opus 70.2, roughly tied
  • SWE-sweep: 9.6 vs Astra 9.5, roughly tied
  • Chartography: 72.5 vs Argon 71.6 / Astra 71.0, roughly tied
  • Terminal-Bench-Science 0.1: 64.8 vs Argon 52.9 on the same third-party setup; vs Astra 63.3 roughly tied

On the WebDev Arena leaderboard (dated October 27, 2026), Carbon (High) sits at 1768(±15), with 2,230 votes. The leaderboard marks that score preliminary and ranks it #4; the confidence interval overlaps ranks 2 to 6. Those preliminary / ±15 / #4 details come from WebDev Arena, not from Google. The +89 Elo is over Gemini 4 Argon (High) at 1679 on that board. Above Carbon sit Opus 5.5 (Max) 1810, Astra (Max) 1773, and Claude Sonnet 5.5 (xHigh) 1770. Crowd-vote leaderboard, not a Google self-report; it stays out of the chart above.

Google also makes qualitative claims we do not chart: models that "run for days" on complex engineering tasks, a claimed ">2x uplift in secure code generation," Chrome calling patches ">10X better than another lab's large frontier model," and Wiz calling Carbon leading on web pen-testing benchmarks. Treat those as Google says, not as measured facts.


Pricing and Access

Carbon "will launch" at the introductory rates below. None of it is purchasable today. Google gives no end date for Carbon's introductory period. Argon's dates are explicit and live on the Gemini API.

ModelInput / 1MCached / 1MOutput / 1MNotes
Carbon intro (announced)$2$0.10$10End date not given
Carbon after intro$4$0.20$2095% off rule on cache
Argon intro (live)$2$0.10$10Through Nov 30, 2026
Argon standard$4$0.20$20From Dec 1, 2026
Claude Opus 5.5$4$0.20$20Anthropic list
GPT-6 Astra$10$1$50OpenAI list

Carbon's standard price equals Opus 5.5's list price. Its intro price is half that and one-fifth of Astra's. For Argon, output price includes thinking tokens. Per-token price is not per-task cost; Google publishes no cost-per-task data for Carbon. Do not claim Carbon's caching is implicit-only (that is documented for Argon only).


Safety and Alignment

Google says Carbon uses the same multi-layered safety stack as Argon (see Argon's Safety and Security report). No Carbon-specific safety report or model card is published yet.

  • Terminal-Bench 4.0:successful cheating 0.0%, attempts 0.4% (Argon's report: withheld information obtained in 1.4% of audited runs)
  • Gray Swan indirect prompt injection attack success at k=15: Carbon 0.0% vs Argon 0.7%, Opus 5.5 1.0%, Fable 5.1 1.0%, GPT-6 Astra 8.5%
  • High-severity misalignment alerts in live coding down almost 80% (Google says)
  • Unsupported claims about 2x lower; overreach -26%, under-service -29% (Google says)

Who Should Care

  • Security teams at governments, critical infrastructure, or core platforms:apply to Fairwind now. Carbon's cyber rows are the clearest lead on the table.
  • Teams on Argon:nothing to do today. Keep building. Carbon is ahead on every row of Google's table, so plan an eval-driven swap when it ships. Watch December 1 pricing on Argon.
  • Long-context and document-heavy agents: the GraphWalks gap is the strongest signal to wait for Carbon.
  • Desktop automation: Opus 5.5 still leads OSWorld-2.1 by 5.7. Do not move for computer use alone.
  • Hard software engineering:Astra leads FrontierSWE 2. Carbon's coding lead is Terminal-Bench, not repo-scale SWE.
  • Price-sensitive buyers: at $2 / $10 Carbon would undercut Opus 5.5 and Astra, but only during an intro window Google has not dated.

FAQ

Questions

Frequently Asked Questions

  • Gemini 4 Carbonis Google DeepMind's next frontier model after Gemini 4 Argon, announced October 28, 2026. Google calls it "our strongest model with state-of-the-art cybersecurity and long horizon capabilities." On Google's comparison table it leads 14 of 16 rows. Scores are self-reported by Google.
  • No. As of October 28, 2026 there is no public API and no model code. Carbon is not in AI Studio, Vertex AI, the Gemini app, OpenRouter, or Vercel AI Gateway. Access starts with a subset of cyber defenders, then phased trusted partners through the Fairwind Program. Developers, businesses, and consumers come "as soon as possible," with no date.

  • Eligible organizations can apply via Google's Fairwind Program. Priority goes to governments and national cyber authorities, critical infrastructure operators, and core technology platforms. Academic labs focused on defensive benchmarking may apply. Applicants are vetted. Access is only for internal cybersecurity, incident response, or penetration-testing teams. No sharing or reselling. The Fairwind page still describes Argon access as of October 28, 2026. The program works with over 650 partners globally.
  • Google says Carbon "will launch" at the same introductory price as Argon: $2 / $10 per 1M input / output, with cached input 95% off ($0.10). After the introductory period expires, $4 / $20 applies (cached $0.20). Google gives no end datefor Carbon's introductory period. Argon's introductory price ends November 30, 2026, with $4 / $20 from December 1, 2026. None of Carbon's pricing is purchasable today.
  • On Google's Carbon comparison table, Carbon beats Argon on all 16 rows. Largest jumps include ExploitGym +12.8, GraphWalks +12.0, and Terminal-Bench-Science 0.1 +11.9 (64.8 vs Argon's 52.9 on that same third-party setup). SWE-sweep more than doubles (9.6 vs 4.3). Scores are self-reported by Google; Argon's column here can differ from Argon's own launch table.
  • Versus GPT-6 Astra: Carbon leads 15 of 16 comparable rows and loses FrontierSWE 2 (61.2 vs 65.5). Versus Claude Opus 5.5: Carbon leads 13, loses FrontierSWE 2 and OSWorld-2.1 (81.5 vs 87.2), and SEC-bench Pro is not reported for Opus. Several leads are thin (Vals +0.2, SWE-sweep +0.1): call those roughly tied. See our Astra and Opus 5.5 posts for those models' own framing.
  • Not published.Google has not published Carbon's context window, max output, knowledge cutoff, modalities, thinking levels, or license terms. Do not reuse Argon's 1,048,576-token context for Carbon. GraphWalks scores cover a 256k to 1M token range; that is a benchmark range, not Carbon's published limit.
  • It depends on the job. On Google's table Carbon leads Terminal-Bench 4.0 (65.2) and SWE-sweep (9.6, roughly tied with Astra at 9.5), but trails on FrontierSWE 2 (61.2 vs Astra 65.5 and Opus 62.3). On the WebDev Arena leaderboard it sits at 1768 (±15); the leaderboard marks that score preliminary and ranks it #4, with the confidence interval overlapping ranks 2 to 6, behind Opus 5.5, Astra, and Sonnet 5.5. Do not treat it as the top coding model on this evidence.
  • No. Every score on Google's Carbon comparison table and launch-blog charts is self-reported by Google. None of these scores has been independently verified by third parties or by LLM Stats. Terminal-Bench 4.0 and Terminal-Bench-Science 0.1 are third-party runs reported by Google. WebDev Arena is a crowd-vote leaderboard; its preliminary mark, ±15 interval, and #4 rank come from that board, not from Google.

Outlook

On Google's table, Carbon is the breadth-and-cyber upgrade over Argon: 16 of 16 against its predecessor, 14 of 16 as the top score, with GraphWalks, ExploitGym, and AutomationBench as the clearest signals. It is not unbeatable on coding or computer use, and every number is self-reported by Google.

Open questions: an API date and model code; context and output limits; Carbon's intro price window; a Carbon model card or safety report; independent reruns of the cyber and long-context rows; whether the OSWorld and FrontierSWE gaps close. Until then, ship on Argon, watch Fairwind, and keep evals ready for a swap.

Rival framing for the same period: GPT-6 Astra, Claude Opus 5.5, and Claude Fable 5.1.

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