Gemini 3 Pro Preview

GoogleKey gemini-3-pro-previewAlso reported as antigravity/gemini-3-pro-preview, google/gemini-3-pro-preview, gemini_cli/gemini-3-pro-preview, zyloo/gemini-3-pro-preview, openrouter/google/gemini-3-pro-preview

Rank
#583
by active users
Active users
1
No change from 1 active users in the previous 30 days. vs previous 30 days
Adoption
0.1%
of 958 accounts
Tokens
9.4M
cache included
Est. cost
$8
at public list prices
First seen
Nov 18, 2025
in any submission

Oct 14 – Nov 12, 2026 (UTC)958 accounts100% of tokens from an identified modelData through Nov 12, 2026, 00:57 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 Pro Preview, Oct 14, 2026 to Nov 12, 2026. Peak 1. Use the left and right arrow keys to read each day.110
Show daily values
Daily active users and tokens for Gemini 3 Pro Preview
Date (UTC)Active usersTokens
Oct 14, 20261724K
Oct 15, 20261724K
Oct 16, 20261724K
Oct 17, 20261724K
Oct 18, 20261724K
Oct 19, 20261724K
Oct 20, 20261724K
Oct 21, 20261724K
Oct 22, 20261724K
Oct 23, 20261724K
Oct 24, 20261724K
Oct 25, 20261724K
Oct 26, 20261724K
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, 202600
Nov 11, 202600
Nov 12, 202600

Token mix

How the 9.4M tokens split. Cache reads are usually most of an agent's tokens and are priced far below input.

  • Input15%
  • Output2.3%
  • Cache read83%
  • Cache write0%
  • Reasoning0%

Agents that carry Gemini 3 Pro Preview

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

  1. Codex CLI100% of this model's tokens1active users

Benchmarks

The best result for Gemini 3 Pro Preview 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
    153.1
    Rank #48 of 160 matched modelsNo conditions reportedModel released Nov 18, 2025Source: epoch.ai (opens in a new tab)
  • GPQA DiamondReasoning · Epoch AI
    92.6%
    Rank #23 of 151 matched modelsNo conditions reportedRun date Nov 19, 2025Source: epoch.ai (opens in a new tab)

    Near its ceiling: the top score is 96.4%, and Epoch AI estimates the reachable maximum at 97%. Differences between top models are small.

  • Humanity's Last ExamReasoning · Center for AI Safety and Scale AI, collected by Epoch AI
    37.5%
    Rank #7 of 40 matched modelsNo conditions reportedModel released Nov 18, 2025Source: lastexam.ai (opens in a new tab)
  • SWE-bench VerifiedHistory · Epoch AI
    72.9%
    Rank #21 of 32 matched modelsNo conditions reportedRun date Feb 13, 2026Source: epoch.ai (opens in a new tab)

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

Not evaluated: FrontierMath Tiers 1–3 (v2), SimpleQA Verified, Terminal-Bench 4.0, CursorBench, DeepSWE, FrontierSWE, Agent Arena, WebDev Arena. A missing result is not a score of zero.

Pricing

models.dev does not list Gemini 3 Pro Preview, so Tokscale has no list price or price estimate for it.

Specs

models.dev does not list Gemini 3 Pro Preview, so Tokscale has no specs for it.

Top public profiles

Public profiles that used Gemini 3 Pro Preview most in this period, by tokens. Hidden accounts are never listed.

  1. 1Jakub Pánik@jak-pan9.4Mtokens$8est. cost13active days$8 est. cost · 13 active days

More from Google

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

  1. Gemini 3.8 Flash N14% adoption138active users
  2. Gemini 4 Argon8.6% adoption82active users
  3. Gemini 4 Argon Trial7.7% adoption74active users
  4. Gemini 3.8 Flash6.9% adoption66active users
  5. Gemini 3.8 Flash Tiered3.7% adoption35active users
  6. Gemini 4 Argon High1.8% adoption17active 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 Oct 21, 2026 · Data through Oct 15, 2026Epoch AI, ‘Capabilities & benchmarking’. Published online at epoch.ai. Retrieved from https://epoch.ai/benchmarks.
  • TokscaleActive users, tokens and token mix from public Tokscale submissions. Hidden accounts are excluded.How we count