Gemini 4 Carbon

GoogleKey gemini-4-carbonAlso reported as cursor/gemini-4-carbon

Rank
#89
by active users
Active users
13
NewNew: no active users in the previous 30 days, 13 now. vs previous 30 days
Adoption
1.3%
of 966 accounts
Tokens
1.9B
cache included
Est. cost
$633
at public list prices
First seen
Nov 10, 2026
in any submission

Oct 15 – Nov 13, 2026 (UTC)966 accounts100% of tokens from an identified modelData through Nov 13, 2026, 05:14 UTCHow we count

Daily active users

Distinct accounts that used this model on each UTC day.

3 active users on Nov 13, 2026

Daily active users for Gemini 4 Carbon, Oct 15, 2026 to Nov 13, 2026. Peak 8. Use the left and right arrow keys to read each day.840
Show daily values
Daily active users and tokens for Gemini 4 Carbon
Date (UTC)Active usersTokens
Oct 15, 202600
Oct 16, 202600
Oct 17, 202600
Oct 18, 202600
Oct 19, 202600
Oct 20, 202600
Oct 21, 202600
Oct 22, 202600
Oct 23, 202600
Oct 24, 202600
Oct 25, 202600
Oct 26, 202600
Oct 27, 202600
Oct 28, 202600
Oct 29, 202600
Oct 30, 202600
Oct 31, 202600
Nov 1, 202600
Nov 2, 202600
Nov 3, 202600
Nov 4, 202600
Nov 5, 202600
Nov 6, 202600
Nov 7, 202600
Nov 8, 202600
Nov 9, 202600
Nov 10, 2026528M
Nov 11, 20268863.7M
Nov 12, 20267976.6M
Nov 13, 2026330.2M

Token mix

How the 1.9B tokens split. Cache reads are usually most of an agent's tokens and are priced far below input.

  • Input13%
  • Output0.6%
  • Cache read86%
  • Cache write0%
  • Reasoning0.3%

Agents that carry Gemini 4 Carbon

Each agent's share of this model's tokens, and how many accounts used the model through it.

  1. Antigravity CLI57% of this model's tokens5active users
  2. Oh My Pi26% of this model's tokens2active users
  3. Droid7.7% of this model's tokens1active users
  4. Pi5.0% of this model's tokens2active users
  5. Antigravity2.4% of this model's tokens1active users
  6. Claude Code1.3% of this model's tokens2active users
  7. OpenCode<0.1% of this model's tokens1active users

Benchmarks

The best result for Gemini 4 Carbon in each benchmark Tokscale tracks. Each benchmark has its own unit, run conditions and source, so compare a score only with other models on the same benchmark. Rank is among the models Tokscale matched in that benchmark.

All benchmarks
  • Epoch Capabilities IndexOverall · Epoch AI
    169.8
    Rank #2 of 158 matched modelsNo conditions reportedModel released Oct 28, 2026Source: epoch.ai (opens in a new tab)
  • CursorBenchAgentic coding · Cursor, collected by Epoch AI
    60.4%
    Rank #1 of 21 matched modelsHighModel released Oct 28, 2026Source: cursor.com (opens in a new tab)
    Show 2 more results with other run conditionsHide the other results
    • Listed as Gemini 4 Carbon Medium
      60.1%
      MediumModel released Oct 28, 2026Source: cursor.com (opens in a new tab)
    • Listed as Gemini 4 Carbon Low
      58.6%
      LowModel released Oct 28, 2026Source: cursor.com (opens in a new tab)
  • FrontierSWEAgentic coding · FrontierSWE, collected by Epoch AI
    61.2%
    Rank #5 of 23 matched modelsHigh · proximusModel released Oct 28, 2026Source: frontierswe.com (opens in a new tab)
  • GPQA DiamondReasoning · Epoch AI
    96.5%
    Rank #1 of 160 matched modelsHighRun date Nov 2, 2026Source: epoch.ai (opens in a new tab)

    Near its ceiling: the top score is 96.5%, and Epoch AI estimates the reachable maximum at 97%. Differences between top models are small.

  • FrontierMath Tiers 1–3 (v2)Reasoning · Epoch AI
    90.5%
    Rank #6 of 90 matched modelsHighRun date Nov 2, 2026Source: epoch.ai (opens in a new tab)

    Near its ceiling: the top score is 95.1%, and Epoch AI estimates the reachable maximum at 95%. Differences between top models are small.

  • SimpleQA VerifiedKnowledge · Epoch AI
    77.7%
    Rank #2 of 86 matched modelsHighRun date Nov 2, 2026Source: epoch.ai (opens in a new tab)

Not evaluated: Humanity's Last Exam, Terminal-Bench 4.1, DeepSWE, Agent Arena, WebDev Arena. A missing result is not a score of zero.

Pricing

List prices from models.dev in US dollars per 1M tokens, retrieved Nov 12, 2026. Google is the lab's own API and the reference price for the estimates below.

Price at real agent usageEstimate at list prices

What 1M tokens cost at the reference list price when they split into input, output and cache the way Tokscale users' agents used them. It is not what anyone paid.

At this model's mix
$0.43
Est. per 1M tokens
86% cache reads
At the community mix
$0.20
Est. per 1M tokens
96% cache reads
3:1 input/output blend
$4
Per 1M tokens at list prices
No cache

Cache reads were 86% of Gemini 4 Carbon tokens in the last 30 days and 96% of all tokens. The 3:1 blend, (3 × input + output) ÷ 4, is the usual comparison and ignores cache.

Assumptions

  • Google list prices per 1M tokens: input $2, output $10, cache read $0.10.
  • This model's mix is its own input, output, cache and reasoning tokens in the last 30 days.
  • The community mix is the tokens of every identified model in the last 30 days.
  • This is an estimate at list prices, not what anyone paid.
  • Reasoning tokens are priced as output.
  • Long-context tiers, batch pricing and discounts are not applied.
  • Token mixes come from public Tokscale submissions. Hidden accounts are excluded.
  • No cache-write price is listed, so cache writes are priced as input.

List prices by provider

  • GoogleReferencegemini-4-carbon
    $2 input per 1M tokens$10 output per 1M tokens$0.10 cache read per 1M tokensCache write not listed1.05M tokens of context
  • Vertexgemini-4-carbon
    $2 input per 1M tokens$10 output per 1M tokens$0.10 cache read per 1M tokensCache write not listed1.05M tokens of context
  • OpenRoutergoogle/gemini-4-carbon
    $2 input per 1M tokens$10 output per 1M tokens$0.10 cache read per 1M tokens$0.19 cache write per 1M tokens1.05M tokens of context
  • Vercel AI Gatewaygoogle/gemini-4-carbon
    $2 input per 1M tokens$10 output per 1M tokens$0.10 cache read per 1M tokensCache write not listed1M tokens of context

Specs

From models.dev (MIT), retrieved Nov 12, 2026, as the lab or the first listed provider reports them. A dash means models.dev does not list the value.

Context window
1.05M tokens
Max output
33K tokens
Input
Text, Image, Video, Audio, PDF
Output
Text
Knowledge cutoff
Mar 2026
Release date
Nov 10, 2026
Open weights
No
Reasoning
Yes
Tool calling
Yes

Top public profiles

Public profiles that used Gemini 4 Carbon most in this period, by tokens. Hidden accounts are never listed.

  1. 1Carlos Lage@cblage1Btokens$346est. cost4active days$346 est. cost · 4 active days
  2. 2Nehr@AgileInnov8tor326.8Mtokens$49est. cost2active days$49 est. cost · 2 active days
  3. 3Brad Lishman@bradlishman263.7Mtokens—est. cost2active daysno price · 2 active days
  4. 4黄凌苍@lingcang728146Mtokens$182est. cost2active days$182 est. cost · 2 active days
  5. 5CMORE@Heoooooon45.3Mtokens$21est. cost1active days$21 est. cost · 1 active days
  6. 6김재민@deopa040230.3Mtokens$9est. cost3active days$9 est. cost · 3 active days
  7. 7Donghui Son@donghuison26Mtokens$15est. cost2active days$15 est. cost · 2 active days
  8. 8Christopher Butler@techsaint17.3Mtokens$5est. cost1active days$5 est. cost · 1 active days
  9. 9Ian@NuCl34R8Mtokens$3est. cost1active days$3 est. cost · 1 active days
  10. 10Naiqian Zheng@NaturezzZ6.5Mtokens$2est. cost1active days$2 est. cost · 1 active days

More from Google

Other Google models in the same period, by active users.

  1. Gemini 3.8 Flash N14% adoption134active users
  2. Gemini 4 Argon8.8% adoption85active users
  3. Gemini 4 Argon Trial8.0% adoption77active users
  4. Gemini 3.8 Flash6.9% adoption67active users
  5. Gemini 3.8 Flash Tiered3.7% adoption36active users
  6. Gemini 4 Argon High1.9% adoption18active users
All models

Sources and attribution

Each score keeps its own source, unit and run conditions. Tokscale does not combine benchmarks into one score, and a missing score means the model was not evaluated, not that it scored zero.

  • Epoch AIEpoch Capabilities Index, Epoch's own runs and the external results it collects.CC BY 4.0 · Retrieved Nov 12, 2026 · Data through Nov 9, 2026Epoch AI, ‘Capabilities & benchmarking’. Published online at epoch.ai. Retrieved from https://epoch.ai/benchmarks.
  • models.devSpecs and list prices per provider.MIT · Retrieved Nov 12, 2026models.dev, an open catalog of AI models (github.com/anomalyco/models.dev).
  • TokscaleActive users, tokens and token mix from public Tokscale submissions. Hidden accounts are excluded.How we count