Gemini 3 Flash Preview

GoogleKey gemini-3-flash-previewAlso reported as google/gemini-3-flash-preview, github-copilot/gemini-3-flash-preview, vertex_ai/gemini-3-flash-preview, gemini_cli/gemini-3-flash-preview, copilot/gemini-3-flash-preview, gemini/gemini-3-flash-preview, gemini-cli/gemini-3-flash-preview, [官逆]gemini-3-flash-preview, router_client:unknown/models/gemini-3-flash-preview

Rank
#19
by active users
Active users
956
All time
Adoption
39%
of 2,457 accounts
Tokens
126.6B
cache included
Est. cost
$23.6K
at public list prices
First seen
Dec 17, 2025
in any submission

Oct 10, 2024 – Nov 12, 2026 (UTC)2,457 accounts100% of tokens from an identified modelData through Nov 12, 2026, 07:57 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 Flash Preview, Oct 10, 2024 to Nov 12, 2026. Peak 79. Use the left and right arrow keys to read each day.80400
Show daily values
Daily active users and tokens for Gemini 3 Flash Preview
Date (UTC)Active usersTokens
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Jan 1, 202500
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Dec 17, 2025994.2M
Dec 18, 202538381.6M
Dec 19, 202542667.9M
Dec 20, 202540459.8M
Dec 21, 202538587.9M
Dec 22, 202543457.8M
Dec 23, 202550727M
Dec 24, 202545673.5M
Dec 25, 202530496.9M
Dec 26, 202531541.3M
Dec 27, 202529320.8M
Dec 28, 202521124M
Dec 29, 202525241.1M
Dec 30, 202533130.2M
Dec 31, 202527142.5M
Jan 1, 20262680M
Jan 2, 202633830M
Jan 3, 202631417.8M
Jan 4, 202640749.4M
Jan 5, 202647667.7M
Jan 6, 2026531.2B
Jan 7, 202659917.3M
Jan 8, 2026491.1B
Jan 9, 202660700M
Jan 10, 202644777.3M
Jan 11, 2026411.5B
Jan 12, 202646946.1M
Jan 13, 2026591.1B
Jan 14, 2026511.3B
Jan 15, 202652921.9M
Jan 16, 2026501.6B
Jan 17, 202642761.9M
Jan 18, 202631732M
Jan 19, 2026571.4B
Jan 20, 202667994.9M
Jan 21, 202648836.1M
Jan 22, 202665721.9M
Jan 23, 202657990.9M
Jan 24, 202643967.5M
Jan 25, 202647573.4M
Jan 26, 2026611.4B
Jan 27, 2026661.2B
Jan 28, 2026611.3B
Jan 29, 202655884.9M
Jan 30, 2026511.6B
Jan 31, 202640444.2M
Feb 1, 202640659.8M
Feb 2, 2026501B
Feb 3, 202648867.5M
Feb 4, 202646938.1M
Feb 5, 202645667.8M
Feb 6, 202644295.9M
Feb 7, 202631309.9M
Feb 8, 2026441.2B
Feb 9, 2026601.9B
Feb 10, 2026521.6B
Feb 11, 202650870.5M
Feb 12, 2026611.1B
Feb 13, 202646833.5M
Feb 14, 202641273.5M
Feb 15, 202629173.4M
Feb 16, 202637574M
Feb 17, 202629815.3M
Feb 18, 202638748.7M
Feb 19, 202648552.7M
Feb 20, 202660696.9M
Feb 21, 202635407.4M
Feb 22, 202640151.3M
Feb 23, 202649871.8M
Feb 24, 2026641.5B
Feb 25, 202653473.1M
Feb 26, 202652659M
Feb 27, 202651409.7M
Feb 28, 202635872.2M
Mar 1, 202651474.2M
Mar 2, 202650669.4M
Mar 3, 202664518.4M
Mar 4, 202662588.7M
Mar 5, 202651807.1M
Mar 6, 202659707.7M
Mar 7, 202636778.2M
Mar 8, 202643589.6M
Mar 9, 2026581.1B
Mar 10, 202663643M
Mar 11, 202679866.7M
Mar 12, 202675858.6M
Mar 13, 2026731.5B
Mar 14, 202659793.6M
Mar 15, 202658499.1M
Mar 16, 202661636.2M
Mar 17, 202664793.3M
Mar 18, 202649532.2M
Mar 19, 202652690.9M
Mar 20, 202653515.6M
Mar 21, 202633386.6M
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Mar 24, 202655413.2M
Mar 25, 202657432.9M
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Mar 27, 202651403.1M
Mar 28, 202645535.1M
Mar 29, 202640321M
Mar 30, 202653425.8M
Mar 31, 202657372.2M
Apr 1, 202655578.6M
Apr 2, 202660583.9M
Apr 3, 202652737.8M
Apr 4, 202638628.8M
Apr 5, 202643483.3M
Apr 6, 202654893.3M
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Apr 10, 202653297.1M
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Apr 13, 2026651.1B
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Apr 17, 202652673.3M
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Apr 20, 2026541.3B
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Apr 28, 202652575.6M
Apr 29, 202655693.8M
Apr 30, 202649553.1M
May 1, 202632500.8M
May 2, 202640714.5M
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May 5, 202638534.3M
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May 10, 202634527.5M
May 11, 2026481.2B
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May 21, 202634531.4M
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May 28, 202628144.7M
May 29, 202627122.3M
May 30, 202620157.1M
May 31, 202616503.8M
Jun 1, 202625358.4M
Jun 2, 202634805.3M
Jun 3, 202631561.6M
Jun 4, 202640962.8M
Jun 5, 202629563.8M
Jun 6, 20261991.5M
Jun 7, 20262251.8M
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Jun 10, 202635751.7M
Jun 11, 202631757.5M
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Jun 15, 202629600.4M
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Jun 19, 202613168.6M
Jun 20, 20267177.7M
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Jun 27, 2026533.3M
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Jun 29, 202619133.6M
Jun 30, 202617295.9M
Jul 1, 202616336.6M
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Jul 3, 20265203.4M
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Jul 29, 202655.6M
Jul 30, 2026763.3M
Jul 31, 2026817.2M
Aug 1, 2026312.1M
Aug 2, 20262496K
Aug 3, 202631.3M
Aug 4, 202631.1M
Aug 5, 202632.5M
Aug 6, 20261471K
Aug 7, 20262471K
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Aug 12, 202621.1M
Aug 13, 20261471K
Aug 14, 20262526K
Aug 15, 202631.5M
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Aug 17, 20261471K
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Aug 20, 20261471K
Aug 21, 20261471K
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Aug 24, 20262600K
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Aug 26, 202624.1M
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Aug 29, 202621.8M
Aug 30, 20261471K
Aug 31, 202622.3M
Sep 1, 202644.9M
Sep 2, 20262713K
Sep 3, 20261471K
Sep 4, 20261471K
Sep 5, 20261471K
Sep 6, 202637.3M
Sep 7, 202631.2M
Sep 8, 202623.8M
Sep 9, 202632.7M
Sep 10, 20261471K
Sep 11, 20261471K
Sep 12, 20261471K
Sep 13, 20261471K
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Sep 18, 20261471K
Sep 19, 20261471K
Sep 20, 20262836K
Sep 21, 20261471K
Sep 22, 20261471K
Sep 23, 20262779K
Sep 24, 20261471K
Sep 25, 202621.2M
Sep 26, 20261471K
Sep 27, 20261471K
Sep 28, 20262809K
Sep 29, 20261471K
Sep 30, 20261471K
Oct 1, 20261471K
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Oct 3, 20261471K
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Oct 6, 20262472K
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Oct 27, 202600
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Nov 1, 2026125.3K
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Token mix

How the 126.6B tokens split. Cache reads are usually most of an agent's tokens and are priced far below input.

  • Input24%
  • Output0.9%
  • Cache read74%
  • Cache write0.8%
  • Reasoning0.1%

Agents that carry Gemini 3 Flash Preview

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

  1. Pi36% of this model's tokens27active users
  2. Gemini CLI34% of this model's tokens697active users
  3. OpenCode15% of this model's tokens307active users
  4. Antigravity CLI6.1% of this model's tokens57active users
  5. Antigravity4.1% of this model's tokens34active users
  6. OpenClaw2.5% of this model's tokens38active users
  7. Cursor1.2% of this model's tokens49active users
  8. Junie0.2% of this model's tokens6active users
  9. Claude Code0.2% of this model's tokens24active users
  10. Droid0.1% of this model's tokens10active users
  11. Hermes Agent0.1% of this model's tokens15active users
  12. Codex CLI0.1% of this model's tokens1active users
  13. Oh My Pi<0.1% of this model's tokens2active users
  14. Goose<0.1% of this model's tokens3active users
  15. Antigravity IDE Extension<0.1% of this model's tokens4active users
  16. Kilo<0.1% of this model's tokens3active users
  17. MiMo Code<0.1% of this model's tokens1active users
  18. Copilot<0.1% of this model's tokens8active users
  19. Cline<0.1% of this model's tokens1active users
  20. Amp<0.1% of this model's tokens17active users
  21. Jcode<0.1% of this model's tokens1active users
  22. Gajae Code<0.1% of this model's tokens1active users
  23. Synthetic<0.1% of this model's tokens1active users

Benchmarks

The best result for Gemini 3 Flash 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
    152.3
    Rank #57 of 158 matched modelsNo conditions reportedModel released Dec 17, 2025Source: epoch.ai (opens in a new tab)
  • GPQA DiamondReasoning · Epoch AI
    89.4%
    Rank #51 of 160 matched modelsHighRun date Aug 6, 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.

    Show 1 more result with other run conditionsHide the other results
    • Listed as gemini-3-flash-preview
      83.2%
      No conditions reportedRun date Dec 17, 2025Source: epoch.ai (opens in a new tab)
  • FrontierMath Tiers 1–3 (v2)Reasoning · Epoch AI
    51.2%
    Rank #56 of 90 matched modelsNo conditions reportedRun date Jun 11, 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
    66.8%
    Rank #13 of 86 matched modelsHighRun date Aug 27, 2026Source: epoch.ai (opens in a new tab)
  • SWE-bench VerifiedHistory · Epoch AI
    75.4%
    Rank #13 of 32 matched modelsNo conditions reportedRun date Feb 18, 2026Source: epoch.ai (opens in a new tab)

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

Not evaluated: Humanity's Last Exam, 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
$0.19
Est. per 1M tokens
74% cache reads
At the community mix
$0.10
Est. per 1M tokens
93% cache reads
3:1 input/output blend
$1.13
Per 1M tokens at list prices
No cache

Cache reads were 74% of Gemini 3 Flash Preview 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 $0.50, output $3, cache read $0.05.
  • 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-flash-preview
    $0.50 input per 1M tokens$3 output per 1M tokens$0.05 cache read per 1M tokensCache write not listed1.05M tokens of context
  • Vertexgemini-3-flash-preview
    $0.50 input per 1M tokens$3 output per 1M tokens$0.05 cache read per 1M tokensCache write not listed1.05M tokens of context
  • OpenRoutergoogle/gemini-3-flash-preview
    $0.50 input per 1M tokens$3 output per 1M tokens$0.05 cache read per 1M tokens$0.08 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
Dec 17, 2025
Open weights
No
Reasoning
Yes
Tool calling
Yes

Top public profiles

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

  1. 1Mateo Palau@mateopalau44.2Btokens$8.5Kest. cost170active days$8.5K est. cost · 170 active days
  2. 2ayman-beep@ayman-beep6Btokens$1.8Kest. cost35active days$1.8K est. cost · 35 active days
  3. 3softer@mineclover2.8Btokens$307est. cost35active days$307 est. cost · 35 active days
  4. 4PROTIK MONDAL@MNDL-272.3Btokens$280est. cost71active days$280 est. cost · 71 active days
  5. 5Anton Mikhailov@GooDgRaF2Btokens$202est. cost19active days$202 est. cost · 19 active days
  6. 6Alexander B@rygel1.9Btokens$212est. cost35active days$212 est. cost · 35 active days
  7. 7Felipe Matheus Rosa@felipematheus1.8Btokens$180est. cost20active days$180 est. cost · 20 active days
  8. 8Code_G@codeg-dev1.6Btokens$233est. cost91active days$233 est. cost · 91 active days
  9. 9YeonGyu-Kim@code-yeongyu1.6Btokens$407est. cost65active days$407 est. cost · 65 active days
  10. 10Titouan Mokrani@titouannnn1.5Btokens$164est. cost32active days$164 est. cost · 32 active days

More from Google

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

  1. Gemini 3 Pro Preview28% adoption676active users
  2. Gemini 3.1 Pro Preview25% adoption612active users
  3. Gemini 2.5 Pro25% adoption607active users
  4. Gemini 2.5 Flash24% adoption590active users
  5. Gemini 3.8 Flash12% adoption286active users
  6. Gemini 3.1 Pro11% adoption263active 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