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Google DeepMind

Gemini 4 Carbon

Released Oct 28, 2026 · knowledge cutoff unpublished

Status
Frontier
Location
United States / United Kingdom
Type
LLM
Modality
Multimodal
Context window
—
Max output
—
Speed (high effort)
100 tok/s
Price ($/MTok in / out)
$2 / $10
Cost per task (high effort)
$7.76
Open weights
No
News1 story
Strengths & weaknesses

Strengths

  • Finds, exploits and patches software vulnerabilities well enough that Google held it back for vetted cyber defenders first — security work is its specialism, not a side skill
  • Built for long autonomous engineering runs measured in days rather than chat-length tasks
  • Far harder to hijack through instructions planted in pages and files than Argon, though Google says prompt injection is not solved
  • Makes about half as many unsupported claims as Argon and oversteps the brief less often, by Google's own internal measurements

Weaknesses

  • Thinks even longer than Argon — more than twice the reasoning tokens, and some finance and legal agent tasks take over twice as long to finish
  • Guesses more often when it doesn't know than Argon did, so Argon's habit of declining rather than fabricating has weakened
  • Reachable only by vetted cyber defenders through the Fairwind Program at launch, with no date for wider access, so it can't be trialled casually

Google's second Gemini 4 model, announced 2026-10-28 two weeks after Argon and described as building on it; access starts with a subset of cyber defenders and phases out to more trusted partners through the Fairwind Program, with developers, businesses and consumers promised access 'as soon as possible', and the model is in the U.S. government's voluntary pre-release testing — hence availability "restricted". Pricing is Google's introductory $2/$10 per MTok (cached input 95% off), rising to $4/$20; Google's blog gives no end date for the discount. Google's evaluation PDF (deepmind.google/models/evals-methodology/gemini-4-carbon, highest thinking setting) uses only untracked suites: Artificial Analysis Intelligence Index v5.0 59 (Argon 50, GPT-6 Astra 57, Claude Opus 5.5 58), Vals Index v2.2 70.4%, SWE-sweep 9.6%, FrontierSWE 2 61.2%, Terminal-Bench 4.0 65.2% (not the tracked 2.1), Agents' Last Exam v1.1 77.4%, OSWorld 2.1 offline 81.5%, AutomationBench 53.9%, Vending-Bench 2 $16,484, Chartography 72.5%, Blueprint-Bench 2 58.6%, GraphWalks 256K–1M 96.2%, RiemannBench 80.0%, Terminal-Bench Science 0.1 64.8%, CWE-bench 71.0%, ExploitGym 54.8% and SEC-bench Pro 88.2% (183-task May 2026 JavaScript-engine split, pass@1 over 3 attempts); the ExploitGym and SEC-bench Pro runs are Google's own, some with mitigations off. No GPQA Diamond, SWE-bench, HLE, ARC-AGI-2 or GDPval-AA v2 figure was published. LMArena Elo 1528 (±9, preliminary, 4,403 votes) is the 'Gemini 4 Carbon (High)' text-arena listing, rank 1 ahead of Argon (now 1520); it is 4th on WebDev Arena at 1768. costPerTask $7.76 and output speed 99.8 tok/s are Artificial Analysis' figures for the only variant it lists, Carbon (High), and AA prices the index run at the $4/$20 list rate, not the introductory one (so the per-task cost at launch pricing is about half). AA's FAQ gives a 103.13s time to first token on Google's API but its first-answer-token chart shows no value, so timeToFirstTokenSec is null. contextWindow, maxOutput and knowledgeCutoff are null: Google published no model card or Gemini API model page, and AA's '1M' context is not an official figure. No official model string has been published, so apiIds is empty. predecessorId is null: Google says Carbon builds on Argon but names no model it replaces.

Benchmarks1 of 10 reported

LMArena Elo

1528

MMLU-Proretired

—

GPQA Diamond

—

SWE-bench Verified

—

SWE-bench Pro

—

Terminal-Bench 2.1

—

AIME (latest)retired

—

Humanity's Last Exam

—

GDPval-AA v2

—

ARC-AGI-2

—
For developers

API model strings

Not researched

Licence

Proprietary — weights not released

Retirement

No retirement announced

Lineage

No recorded predecessor