Gemini 3.5 Flash

GoogleKey gemini-3.5-flashAlso reported as google/gemini-3.5-flash, bbl/gemini-3.5-flash, models/gemini-3.5-flash, gemini 3.5 flash, router_client:unknown/models/gemini-3.5-flash, gemini/gemini-3.5-flash

Rank
#97
by active users
Active users
140
All time
Adoption
5.7%
of 2,457 accounts
Tokens
61.9B
cache included
Est. cost
$26K
at public list prices
First seen
Jan 1, 2026
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 3.5 Flash, Oct 10, 2024 to Nov 12, 2026. Peak 16. Use the left and right arrow keys to read each day.20100
Show daily values
Daily active users and tokens for Gemini 3.5 Flash
Date (UTC)Active usersTokens
Oct 10, 202400
Oct 11, 202400
Oct 12, 202400
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Oct 15, 202400
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Oct 31, 202400
Nov 1, 202400
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Nov 26, 202400
Nov 27, 202400
Nov 28, 202400
Nov 29, 202400
Nov 30, 202400
Dec 1, 202400
Dec 2, 202400
Dec 3, 202400
Dec 4, 202400
Dec 5, 202400
Dec 6, 202400
Dec 7, 202400
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Dec 11, 202400
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Dec 25, 202400
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Dec 31, 202400
Jan 1, 202500
Jan 2, 202500
Jan 3, 202500
Jan 4, 202500
Jan 5, 202500
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Feb 1, 202500
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Mar 1, 202500
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Apr 1, 202500
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Sep 25, 202500
Sep 26, 202500
Sep 27, 202500
Sep 28, 202500
Sep 29, 202500
Sep 30, 202500
Oct 1, 202500
Oct 2, 202500
Oct 3, 202500
Oct 4, 202500
Oct 5, 202500
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Oct 27, 202500
Oct 28, 202500
Oct 29, 202500
Oct 30, 202500
Oct 31, 202500
Nov 1, 202500
Nov 2, 202500
Nov 3, 202500
Nov 4, 202500
Nov 5, 202500
Nov 6, 202500
Nov 7, 202500
Nov 8, 202500
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Nov 10, 202500
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Nov 14, 202500
Nov 15, 202500
Nov 16, 202500
Nov 17, 202500
Nov 18, 202500
Nov 19, 202500
Nov 20, 202500
Nov 21, 202500
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Nov 24, 202500
Nov 25, 202500
Nov 26, 202500
Nov 27, 202500
Nov 28, 202500
Nov 29, 202500
Nov 30, 202500
Dec 1, 202500
Dec 2, 202500
Dec 3, 202500
Dec 4, 202500
Dec 5, 202500
Dec 6, 202500
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Dec 10, 202500
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Dec 23, 202500
Dec 24, 202500
Dec 25, 202500
Dec 26, 202500
Dec 27, 202500
Dec 28, 202500
Dec 29, 202500
Dec 30, 202500
Dec 31, 202500
Jan 1, 2026153K
Jan 2, 2026153K
Jan 3, 2026153K
Jan 4, 2026153K
Jan 5, 2026153K
Jan 6, 2026153K
Jan 7, 2026153K
Jan 8, 2026153K
Jan 9, 2026153K
Jan 10, 2026153K
Jan 11, 2026153K
Jan 12, 2026153K
Jan 13, 2026153K
Jan 14, 2026153K
Jan 15, 2026153K
Jan 16, 2026153K
Jan 17, 2026153K
Jan 18, 2026153K
Jan 19, 2026153K
Jan 20, 2026153K
Jan 21, 2026153K
Jan 22, 2026153K
Jan 23, 2026153K
Jan 24, 2026153K
Jan 25, 2026153K
Jan 26, 2026153K
Jan 27, 2026153K
Jan 28, 2026153K
Jan 29, 2026153K
Jan 30, 2026153K
Jan 31, 2026153K
Feb 1, 2026153K
Feb 2, 2026153K
Feb 3, 2026153K
Feb 4, 2026153K
Feb 5, 2026153K
Feb 6, 2026153K
Feb 7, 2026153K
Feb 8, 2026153K
Feb 9, 2026153K
Feb 10, 2026153K
Feb 11, 2026153K
Feb 12, 2026153K
Feb 13, 2026153K
Feb 14, 2026153K
Feb 15, 2026153K
Feb 16, 2026153K
Feb 17, 2026153K
Feb 18, 2026153K
Feb 19, 2026153K
Feb 20, 2026153K
Feb 21, 2026153K
Feb 22, 2026153K
Feb 23, 2026153K
Feb 24, 2026153K
Feb 25, 2026153K
Feb 26, 2026153K
Feb 27, 2026153K
Feb 28, 2026153K
Mar 1, 2026153K
Mar 2, 2026153K
Mar 3, 2026153K
Mar 4, 2026153K
Mar 5, 2026153K
Mar 6, 2026153K
Mar 7, 2026153K
Mar 8, 2026153K
Mar 9, 2026153K
Mar 10, 2026153K
Mar 11, 2026153K
Mar 12, 2026153K
Mar 13, 2026153K
Mar 14, 2026153K
Mar 15, 2026153K
Mar 16, 2026153K
Mar 17, 2026153K
Mar 18, 2026153K
Mar 19, 2026153K
Mar 20, 2026153K
Mar 21, 2026153K
Mar 22, 2026153K
Mar 23, 2026153K
Mar 24, 2026153K
Mar 25, 2026153K
Mar 26, 2026153K
Mar 27, 2026153K
Mar 28, 2026153K
Mar 29, 2026153K
Mar 30, 2026153K
Mar 31, 2026153K
Apr 1, 2026153K
Apr 2, 2026153K
Apr 3, 2026153K
Apr 4, 2026153K
Apr 5, 2026153K
Apr 6, 2026153K
Apr 7, 2026153K
Apr 8, 2026153K
Apr 9, 2026153K
Apr 10, 2026153K
Apr 11, 2026153K
Apr 12, 2026153K
Apr 13, 2026153K
Apr 14, 2026153K
Apr 15, 2026153K
Apr 16, 2026153K
Apr 17, 2026153K
Apr 18, 2026153K
Apr 19, 2026153K
Apr 20, 2026153K
Apr 21, 2026153K
Apr 22, 2026153K
Apr 23, 2026153K
Apr 24, 2026153K
Apr 25, 2026153K
Apr 26, 2026153K
Apr 27, 2026153K
Apr 28, 2026153K
Apr 29, 2026153K
Apr 30, 2026153K
May 1, 2026153K
May 2, 2026153K
May 3, 2026153K
May 4, 2026153K
May 5, 2026257.8K
May 6, 2026153K
May 7, 2026153K
May 8, 2026153K
May 9, 2026153K
May 10, 2026153K
May 11, 2026153K
May 12, 2026153K
May 13, 2026153K
May 14, 2026153K
May 15, 2026153K
May 16, 2026153K
May 17, 2026153K
May 18, 2026153K
May 19, 20262115.8M
May 20, 202610190.4M
May 21, 20267531.2M
May 22, 20269225.8M
May 23, 20267208.2M
May 24, 2026490.1M
May 25, 20266372.8M
May 26, 20265438.5M
May 27, 202610419.9M
May 28, 20266179.5M
May 29, 20266644M
May 30, 20265316.8M
May 31, 2026483.4M
Jun 1, 20268495.5M
Jun 2, 20268838.7M
Jun 3, 20269836.2M
Jun 4, 2026132.3B
Jun 5, 202611917.5M
Jun 6, 202671.2B
Jun 7, 202662.6B
Jun 8, 2026121.3B
Jun 9, 202693.2B
Jun 10, 202665.2B
Jun 11, 202611872.6M
Jun 12, 202611904.8M
Jun 13, 202611618M
Jun 14, 20266403.3M
Jun 15, 202612728M
Jun 16, 202681.9B
Jun 17, 2026101.6B
Jun 18, 20267928.9M
Jun 19, 202611709.6M
Jun 20, 20265685.9M
Jun 21, 20266307.7M
Jun 22, 2026151.7B
Jun 23, 2026131.6B
Jun 24, 202691.4B
Jun 25, 2026142.2B
Jun 26, 202691.7B
Jun 27, 20267742M
Jun 28, 20268386M
Jun 29, 20269716.9M
Jun 30, 2026101.2B
Jul 1, 2026101.1B
Jul 2, 202611377.9M
Jul 3, 202615497.4M
Jul 4, 20266183M
Jul 5, 20268534.4M
Jul 6, 2026121.1B
Jul 7, 2026131.3B
Jul 8, 202612725.7M
Jul 9, 202612696.3M
Jul 10, 202612662.1M
Jul 11, 20269311.6M
Jul 12, 202610162.4M
Jul 13, 20269669.9M
Jul 14, 202610555.5M
Jul 15, 202610614.3M
Jul 16, 20267710.5M
Jul 17, 202610780.7M
Jul 18, 20268396M
Jul 19, 20266189.3M
Jul 20, 2026111.5B
Jul 21, 202613536.5M
Jul 22, 202613434.4M
Jul 23, 202613552.6M
Jul 24, 202616697.8M
Jul 25, 20268227.4M
Jul 26, 2026563.2M
Jul 27, 20266288.3M
Jul 28, 20269236.7M
Jul 29, 20266197.6M
Jul 30, 2026677.9M
Jul 31, 20265158.1M
Aug 1, 20265116.7M
Aug 2, 2026333.9M
Aug 3, 20267130M
Aug 4, 2026895.2M
Aug 5, 202666.4M
Aug 6, 2026526.4M
Aug 7, 2026682.4M
Aug 8, 2026636.3M
Aug 9, 20268108.4M
Aug 10, 2026538.9M
Aug 11, 2026523.6M
Aug 12, 2026573.2M
Aug 13, 20266269.3M
Aug 14, 2026744.2M
Aug 15, 2026311.7M
Aug 16, 20263210K
Aug 17, 20262680K
Aug 18, 20263266K
Aug 19, 20265314K
Aug 20, 202653.3M
Aug 21, 20263452K
Aug 22, 2026420.1M
Aug 23, 202663.2M
Aug 24, 2026548.7M
Aug 25, 202662.4M
Aug 26, 2026611.5M
Aug 27, 202676.6M
Aug 28, 202648.1M
Aug 29, 202635.9M
Aug 30, 202643.7M
Aug 31, 20265791K
Sep 1, 20263249K
Sep 2, 202654.1M
Sep 3, 202631.3M
Sep 4, 202632M
Sep 5, 2026153K
Sep 6, 202632M
Sep 7, 20263347K
Sep 8, 20262271K
Sep 9, 202641.2M
Sep 10, 20264501K
Sep 11, 20262100K
Sep 12, 2026153K
Sep 13, 202641.1M
Sep 14, 2026298.3K
Sep 15, 20263124K
Sep 16, 2026297.7K
Sep 17, 2026297.4K
Sep 18, 20263357K
Sep 19, 202642.6M
Sep 20, 202644.6M
Sep 21, 202636.9M
Sep 22, 20262133K
Sep 23, 20264130K
Sep 24, 2026294.7K
Sep 25, 20263348K
Sep 26, 2026258.5K
Sep 27, 2026261.6K
Sep 28, 20262107K
Sep 29, 2026294.4K
Sep 30, 2026383.5K
Oct 1, 20262113K
Oct 2, 202638.1M
Oct 3, 2026275.3K
Oct 4, 2026267.6K
Oct 5, 20262110K
Oct 6, 20263154K
Oct 7, 20263263K
Oct 8, 20262136K
Oct 9, 20262152K
Oct 10, 2026262.7K
Oct 11, 2026268K
Oct 12, 2026292.3K
Oct 13, 20262126K
Oct 14, 20262152K
Oct 15, 20262125K
Oct 16, 2026273.4K
Oct 17, 2026290.9K
Oct 18, 2026153K
Oct 19, 2026153K
Oct 20, 20262385K
Oct 21, 2026153K
Oct 22, 2026153K
Oct 23, 2026153K
Oct 24, 2026153K
Oct 25, 2026153K
Oct 26, 2026153K
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
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Nov 12, 202600

Token mix

How the 61.9B tokens split. Cache reads are usually most of an agent's tokens and are priced far below input.

  • Input13%
  • Output1.0%
  • Cache read85%
  • Cache write1.0%
  • Reasoning<0.1%

Agents that carry Gemini 3.5 Flash

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

  1. Pi51% of this model's tokens24active users
  2. OpenCode39% of this model's tokens43active users
  3. Gemini CLI4.0% of this model's tokens32active users
  4. Oh My Pi2.7% of this model's tokens11active users
  5. Hermes Agent1.4% of this model's tokens14active users
  6. Antigravity CLI0.9% of this model's tokens3active users
  7. Claude Code0.3% of this model's tokens8active users
  8. Codex CLI0.3% of this model's tokens6active users
  9. Cursor0.2% of this model's tokens6active users
  10. Junie<0.1% of this model's tokens1active users
  11. Antigravity<0.1% of this model's tokens1active users
  12. Senpi (OmO Native)<0.1% of this model's tokens1active users
  13. Kilo<0.1% of this model's tokens1active users
  14. OpenClaw<0.1% of this model's tokens1active users
  15. Copilot<0.1% of this model's tokens6active users
  16. CodeBuddy<0.1% of this model's tokens1active users
  17. Zed Agent<0.1% of this model's tokens2active users
  18. Aside<0.1% of this model's tokens2active users
  19. MiMo Code<0.1% of this model's tokens1active users
  20. DeepSeek Harness<0.1% of this model's tokens1active users
  21. Synthetic<0.1% of this model's tokens1active users
  22. Goose<0.1% of this model's tokens1active users

Benchmarks

The best result for Gemini 3.5 Flash 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
    155.3
    Rank #43 of 158 matched modelsNo conditions reportedModel released May 19, 2026Source: epoch.ai (opens in a new tab)
  • DeepSWEAgentic coding · Datacurve, collected by Epoch AI
    37.4%
    Rank #23 of 26 matched modelsMedium · mini-swe-agentModel released May 19, 2026Source: deepswe.datacurve.ai (opens in a new tab)
    Show 1 more result with other run conditionsHide the other results
    • Listed as gemini-3-5-flash (high)
      36.1%
      High · mini-swe-agentModel released May 19, 2026Source: deepswe.datacurve.ai (opens in a new tab)
  • WebDev ArenaWeb development · LMArena
    1,499
    Rank #54 of 110 matched modelsHighPublished Oct 19, 2026Source: huggingface.co (opens in a new tab)
    Show 1 more result with other run conditionsHide the other results
    • Listed as Gemini 3.5 Flash (Medium)
      1,491
      MediumPublished Oct 19, 2026Source: huggingface.co (opens in a new tab)
  • GPQA DiamondReasoning · Epoch AI
    92.8%
    Rank #25 of 160 matched modelsHighRun date May 22, 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 2 more results with other run conditionsHide the other results
    • Listed as gemini-3.5-flash_low
      88.9%
      LowRun date Aug 6, 2026Source: epoch.ai (opens in a new tab)
    • Listed as gemini-3.5-flash_minimal
      86.4%
      MinimalRun date Jul 15, 2026Source: epoch.ai (opens in a new tab)
  • FrontierMath Tiers 1–3 (v2)Reasoning · Epoch AI
    62.8%
    Rank #43 of 90 matched modelsHighRun date Jun 10, 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
    66.2%
    Rank #14 of 86 matched modelsHighRun date Aug 27, 2026Source: epoch.ai (opens in a new tab)
  • SWE-bench VerifiedHistory · Epoch AI
    79.3%
    Rank #3 of 32 matched modelsHighRun date Jun 1, 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, FrontierSWE, Agent 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
$0.44
Est. per 1M tokens
85% cache reads
At the community mix
$0.29
Est. per 1M tokens
93% cache reads
3:1 input/output blend
$3.38
Per 1M tokens at list prices
No cache

Cache reads were 85% of Gemini 3.5 Flash 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 $1.50, output $9, cache read $0.15.
  • 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-3.5-flash
    $1.50 input per 1M tokens$9 output per 1M tokens$0.15 cache read per 1M tokensCache write not listed1.05M tokens of context
  • Vertexgemini-3.5-flash
    $1.50 input per 1M tokens$9 output per 1M tokens$0.15 cache read per 1M tokensCache write not listed1.05M tokens of context
  • OpenRoutergoogle/gemini-3.5-flash
    $1.50 input per 1M tokens$9 output per 1M tokens$0.15 cache read per 1M tokens$0.08 cache write per 1M tokens1.05M tokens of context
  • Vercel AI Gatewaygoogle/gemini-3.5-flash
    $1.50 input per 1M tokens$9 output per 1M tokens$0.15 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
66K tokens
Input
Text, Image, Video, Audio, PDF
Output
Text
Knowledge cutoff
Jan 2025
Release date
May 19, 2026
Open weights
No
Reasoning
Yes
Tool calling
Yes

Top public profiles

Public profiles that used Gemini 3.5 Flash most in this period, by tokens. Hidden accounts are never listed.

  1. 1Mateo Palau@mateopalau27.8Btokens$16Kest. cost83active days$16K est. cost · 83 active days
  2. 2Alex Gorbatchev@alexgorbatchev19.7Btokens$4.3Kest. cost39active days$4.3K est. cost · 39 active days
  3. 3Owen@kang-heewon4.3Btokens$1.4Kest. cost42active days$1.4K est. cost · 42 active days
  4. 4Chanyoung@whcksdud2.1Btokens$563est. cost25active days$563 est. cost · 25 active days
  5. 5Xyra Sinclair@XyraSinclair930Mtokens$391est. cost10active days$391 est. cost · 10 active days
  6. 6George@George-RD782.4Mtokens$257est. cost12active days$257 est. cost · 12 active days
  7. 7Yahya Alhinai@yhinai735.4Mtokens$255est. cost23active days$255 est. cost · 23 active days
  8. 8AJ@aj2666710.5Mtokens$394est. cost9active days$394 est. cost · 9 active days
  9. 9Nehr@AgileInnov8tor569.3Mtokens$205est. cost11active days$205 est. cost · 11 active days
  10. 10崔鹏飞 Cui Pengfei@cuipengfei557Mtokens$458est. cost12active days$458 est. cost · 12 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.
  • LMArenaWebDev Arena and Agent Arena leaderboards.CC BY 4.0 · Retrieved Oct 21, 2026 · Data through Oct 19, 2026LMArena leaderboard dataset (lmarena-ai/leaderboard-dataset), Hugging Face.
  • 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