Gemini 3.1 Pro Preview Customtools

GoogleKey gemini-3.1-pro-preview-customtoolsAlso reported as google/gemini-3.1-pro-preview-customtools

Rank
#187
by active users
Active users
61
All time
Adoption
2.5%
of 2,457 accounts
Tokens
848.1M
cache included
Est. cost
$488
at public list prices
First seen
Feb 20, 2026
in any submission

Oct 10, 2024 – Nov 12, 2026 (UTC)2,457 accounts100% of tokens from an identified modelData through Nov 12, 2026, 08:06 UTCHow we count

Daily active users

Distinct accounts that used this model on each UTC day.

0 active users on Nov 12, 2026

Daily active users for Gemini 3.1 Pro Preview Customtools, Oct 10, 2024 to Nov 12, 2026. Peak 6. Use the left and right arrow keys to read each day.630
Show daily values
Daily active users and tokens for Gemini 3.1 Pro Preview Customtools
Date (UTC)Active usersTokens
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Jan 1, 202600
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Feb 20, 20265125.9M
Feb 21, 202657.4M
Feb 22, 2026310.6M
Feb 23, 202654.7M
Feb 24, 202662M
Feb 25, 202625.7M
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Feb 27, 2026412.3M
Feb 28, 2026515.4M
Mar 1, 20262300K
Mar 2, 202629.7M
Mar 3, 20261540K
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Mar 5, 202646.9M
Mar 6, 20261525K
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Mar 11, 20262522K
Mar 12, 202634.3M
Mar 13, 202600
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Mar 15, 202624.5M
Mar 16, 2026423.8M
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Mar 19, 2026419.8M
Mar 20, 20263774K
Mar 21, 202600
Mar 22, 20263904K
Mar 23, 202644.5M
Mar 24, 2026312.3M
Mar 25, 2026322M
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Mar 27, 2026232M
Mar 28, 202621.2M
Mar 29, 202623.4M
Mar 30, 2026319.8M
Mar 31, 2026310.4M
Apr 1, 202611.5M
Apr 2, 202629.9M
Apr 3, 2026318.9M
Apr 4, 202635.4M
Apr 5, 202638.2M
Apr 6, 202635.8M
Apr 7, 2026232.8M
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Apr 12, 20261142K
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Apr 24, 2026413.5M
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Jun 6, 2026125
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Jun 29, 20261306K
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Aug 4, 2026137K
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Aug 14, 202611.7M
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Aug 30, 2026111.5K
Aug 31, 2026112K
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Sep 19, 202614.8M
Sep 20, 202600
Sep 21, 20261553K
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Oct 28, 20261137K
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Token mix

How the 848.1M tokens split. Cache reads are usually most of an agent's tokens and are priced far below input.

  • Input17%
  • Output0.4%
  • Cache read81%
  • Cache write0%
  • Reasoning0.9%

Agents that carry Gemini 3.1 Pro Preview Customtools

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

  1. OpenCode60% of this model's tokens26active users
  2. Gemini CLI40% of this model's tokens35active users
  3. Pi0.2% of this model's tokens1active users
  4. Hermes Agent<0.1% of this model's tokens1active users

Benchmarks

The best result for Gemini 3.1 Pro Preview Customtools 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
  • SWE-bench VerifiedHistory · Epoch AI
    75.6%
    Rank #12 of 32 matched modelsNo conditions reportedRun date Feb 24, 2026Source: epoch.ai (opens in a new tab)

    History only. Newer agentic coding benchmarks are on the main board.

Not evaluated: Epoch Capabilities Index, GPQA Diamond, Humanity's Last Exam, FrontierMath Tiers 1–3 (v2), SimpleQA Verified, Terminal-Bench 4.1, CursorBench, DeepSWE, FrontierSWE, 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
$0.67
Est. per 1M tokens
81% cache reads
At the community mix
$0.39
Est. per 1M tokens
93% cache reads
3:1 input/output blend
$4.50
Per 1M tokens at list prices
No cache

Cache reads were 81% of Gemini 3.1 Pro Preview Customtools tokens across all time and 93% 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 $12, cache read $0.20.
  • This model's mix is its own input, output, cache and reasoning tokens across all time.
  • The community mix is the tokens of every identified model across all time.
  • 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-3.1-pro-preview-customtools
    $2 input per 1M tokens$12 output per 1M tokens$0.20 cache read per 1M tokensCache write not listed1.05M tokens of context
  • Vertexgemini-3.1-pro-preview-customtools
    $2 input per 1M tokens$12 output per 1M tokens$0.20 cache read per 1M tokensCache write not listed1.05M tokens of context
  • OpenRoutergoogle/gemini-3.1-pro-preview-customtools
    $2 input per 1M tokens$12 output per 1M tokens$0.20 cache read per 1M tokens$0.38 cache write per 1M tokens1.05M 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
66K tokens
Input
Text, Image, Video, Audio, PDF
Output
Text
Knowledge cutoff
Jan 2025
Release date
Feb 19, 2026
Open weights
No
Reasoning
Yes
Tool calling
Yes

Top public profiles

Public profiles that used Gemini 3.1 Pro Preview Customtools most in this period, by tokens. Hidden accounts are never listed.

  1. 1pln-artemis@pln-artemis135.8Mtokens$37est. cost9active days$37 est. cost · 9 active days
  2. 2Jian Gong@fflake33127Mtokens$45est. cost10active days$45 est. cost · 10 active days
  3. 3Chris Olszewski@chrisolszewski80.6Mtokens$63est. cost38active days$63 est. cost · 38 active days
  4. 4Journey Hwang@journeyWorker47.3Mtokens$33est. cost14active days$33 est. cost · 14 active days
  5. 5Chanyoung@whcksdud44.1Mtokens$16est. cost10active days$16 est. cost · 10 active days
  6. 6홍재영@jaeyoung304843.3Mtokens$26est. cost19active days$26 est. cost · 19 active days
  7. 7Daniel Moon@moona3k42.6Mtokens$47est. cost16active days$47 est. cost · 16 active days
  8. 8Sangbum kim@spi-ca39Mtokens$20est. cost4active days$20 est. cost · 4 active days
  9. 9Xyra Sinclair@XyraSinclair34.3Mtokens$42est. cost19active days$42 est. cost · 19 active days
  10. 10Jakub Pánik@jak-pan29.3Mtokens$11est. cost4active days$11 est. cost · 4 active days

More from Google

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

  1. Gemini 3 Flash Preview39% adoption956active users
  2. Gemini 3 Pro Preview28% adoption676active users
  3. Gemini 3.1 Pro Preview25% adoption612active users
  4. Gemini 2.5 Pro25% adoption607active users
  5. Gemini 2.5 Flash24% adoption590active users
  6. Gemini 3.8 Flash12% adoption286active 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