Gemini 3.5 Flash Lite

GoogleKey gemini-3.5-flash-liteAlso reported as auto/gemini-3.5-flash-lite, google/gemini-3.5-flash-lite, router_client:unknown/gemini-3.5-flash-lite, gemini/gemini-3.5-flash-lite

Rank
#266
by active users
Active users
35
All time
Adoption
1.4%
of 2,457 accounts
Tokens
4.1B
cache included
Est. cost
$475
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, 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 3.5 Flash Lite, Oct 10, 2024 to Nov 12, 2026. Peak 5. Use the left and right arrow keys to read each day.530
Show daily values
Daily active users and tokens for Gemini 3.5 Flash Lite
Date (UTC)Active usersTokens
Oct 10, 202400
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Jan 1, 202500
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Jun 1, 2026130
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Jun 14, 202600
Jun 15, 202600
Jun 16, 2026130
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Jun 19, 202600
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Jun 21, 202600
Jun 22, 2026130
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Jun 25, 2026130
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Jun 30, 2026130
Jul 1, 2026130
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Jul 20, 2026130
Jul 21, 2026326.3M
Jul 22, 2026245.4M
Jul 23, 2026385.2M
Jul 24, 20262156.3M
Jul 25, 2026287.4K
Jul 26, 202621.2M
Jul 27, 20262632K
Jul 28, 20263104M
Jul 29, 2026332.9M
Jul 30, 20263121.3M
Jul 31, 20262249.1M
Aug 1, 2026396.3M
Aug 2, 2026420.7M
Aug 3, 2026398.1M
Aug 4, 20264124.3M
Aug 5, 20262559K
Aug 6, 202622.1M
Aug 7, 20262104.6M
Aug 8, 202624.4M
Aug 9, 20262305K
Aug 10, 2026130
Aug 11, 20262290.9M
Aug 12, 202638.9M
Aug 13, 20264184.2M
Aug 14, 20263218.7M
Aug 15, 2026399.2M
Aug 16, 20263103.4M
Aug 17, 2026130
Aug 18, 20262152.8M
Aug 19, 20262393.6M
Aug 20, 20262203.4M
Aug 21, 20263184M
Aug 22, 2026236M
Aug 23, 2026457.4M
Aug 24, 2026227.1K
Aug 25, 20263102K
Aug 26, 2026210.8K
Aug 27, 2026220.3K
Aug 28, 2026130
Aug 29, 20262248K
Aug 30, 20262234K
Aug 31, 20263192K
Sep 1, 202651.4M
Sep 2, 20263639K
Sep 3, 20263605K
Sep 4, 20263255K
Sep 5, 2026219.2K
Sep 6, 2026219.1K
Sep 7, 20262115K
Sep 8, 2026257.9K
Sep 9, 202632.6M
Sep 10, 2026286.2K
Sep 11, 2026225.6K
Sep 12, 2026130
Sep 13, 2026130
Sep 14, 20263109K
Sep 15, 2026352.8K
Sep 16, 2026386.7K
Sep 17, 2026320.7M
Sep 18, 20263454K
Sep 19, 20262455K
Sep 20, 20264290K
Sep 21, 202631.4M
Sep 22, 20263655K
Sep 23, 202651.8M
Sep 24, 2026130
Sep 25, 20262676K
Sep 26, 20262772K
Sep 27, 20262393K
Sep 28, 202641.5M
Sep 29, 20262140K
Sep 30, 20262636K
Oct 1, 202622.9M
Oct 2, 202635M
Oct 3, 20263314K
Oct 4, 202632.6M
Oct 5, 202641.4M
Oct 6, 202624.4M
Oct 7, 202643.3M
Oct 8, 202634.5M
Oct 9, 202632.8M
Oct 10, 202623.7M
Oct 11, 2026267.7K
Oct 12, 2026268.3K
Oct 13, 2026285.7K
Oct 14, 202631.2M
Oct 15, 2026259K
Oct 16, 202641.3M
Oct 17, 20263217K
Oct 18, 20263368K
Oct 19, 2026251.1K
Oct 20, 2026217K
Oct 21, 20262118.3M
Oct 22, 20264167.1M
Oct 23, 2026480.2M
Oct 24, 2026430.9M
Oct 25, 2026528.6M
Oct 26, 2026420M
Oct 27, 202655.9M
Oct 28, 2026311.1M
Oct 29, 20262406K
Oct 30, 2026331.4M
Oct 31, 2026418.5M
Nov 1, 2026220.4M
Nov 2, 202613.7M
Nov 3, 20264182.8M
Nov 4, 2026331.2M
Nov 5, 2026313.3M
Nov 6, 20262344K
Nov 7, 2026235.9M
Nov 8, 202600
Nov 9, 202600
Nov 10, 202600
Nov 11, 202600
Nov 12, 202600

Token mix

How the 4.1B tokens split. Cache reads are usually most of an agent's tokens and are priced far below input.

  • Input17%
  • Output1.6%
  • Cache read79%
  • Cache write2.3%
  • Reasoning<0.1%

Agents that carry Gemini 3.5 Flash Lite

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

  1. Pi96% of this model's tokens3active users
  2. Oh My Pi1.7% of this model's tokens3active users
  3. Antigravity1.0% of this model's tokens1active users
  4. Antigravity CLI0.8% of this model's tokens5active users
  5. OpenCode0.2% of this model's tokens7active users
  6. Junie<0.1% of this model's tokens5active users
  7. Senpi (OmO Native)<0.1% of this model's tokens1active users
  8. Hermes Agent<0.1% of this model's tokens8active users
  9. Antigravity IDE Extension<0.1% of this model's tokens1active users
  10. Synthetic<0.1% of this model's tokens1active users
  11. OpenCodeReview<0.1% of this model's tokens1active users
  12. Gemini CLI<0.1% of this model's tokens1active users
  13. Codex CLI<0.1% of this model's tokens1active users
  14. Goose<0.1% of this model's tokens1active users
  15. Cherry Studio<0.1% of this model's tokens1active users

Benchmarks

The best result for Gemini 3.5 Flash Lite 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
    145.6
    Rank #88 of 158 matched modelsNo conditions reportedModel released Jul 21, 2026Source: epoch.ai (opens in a new tab)
  • WebDev ArenaWeb development · LMArena
    1,435
    Rank #70 of 110 matched modelsNo conditions reportedPublished Oct 19, 2026Source: huggingface.co (opens in a new tab)
  • GPQA DiamondReasoning · Epoch AI
    83.3%
    Rank #81 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 2 more results with other run conditionsHide the other results
    • Listed as gemini-3.5-flash-lite_low
      75.8%
      LowRun date Aug 6, 2026Source: epoch.ai (opens in a new tab)
    • Listed as gemini-3.5-flash-lite_minimal
      74.2%
      MinimalRun date Aug 6, 2026Source: epoch.ai (opens in a new tab)
  • FrontierMath Tiers 1–3 (v2)Reasoning · Epoch AI
    26.0%
    Rank #74 of 90 matched modelsHighRun date Aug 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.

Not evaluated: Humanity's Last Exam, SimpleQA Verified, Terminal-Bench 4.1, CursorBench, DeepSWE, 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
$0.12
Est. per 1M tokens
79% cache reads
At the community mix
$0.06
Est. per 1M tokens
93% cache reads
3:1 input/output blend
$0.85
Per 1M tokens at list prices
No cache

Cache reads were 79% of Gemini 3.5 Flash Lite 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 $0.30, output $2.50, cache read $0.03.
  • 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-lite
    $0.30 input per 1M tokens$2.50 output per 1M tokens$0.03 cache read per 1M tokensCache write not listed1.05M tokens of context
  • Vertexgemini-3.5-flash-lite
    $0.30 input per 1M tokens$2.50 output per 1M tokens$0.03 cache read per 1M tokensCache write not listed1.05M tokens of context
  • OpenRoutergoogle/gemini-3.5-flash-lite
    $0.30 input per 1M tokens$2.50 output per 1M tokens$0.03 cache read per 1M tokens$0.08 cache write per 1M tokens1.05M tokens of context
  • Vercel AI Gatewaygoogle/gemini-3.5-flash-lite
    $0.30 input per 1M tokens$2.50 output per 1M tokens$0.03 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
Mar 2026
Release date
Jul 21, 2026
Open weights
No
Reasoning
Yes
Tool calling
Yes

Top public profiles

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

  1. 1Mateo Palau@mateopalau3.2Btokens$408est. cost26active days$408 est. cost · 26 active days
  2. 2Nehr@AgileInnov8tor745Mtokens$52est. cost16active days$52 est. cost · 16 active days
  3. 3Paskasius Gian@GianAv2342.8Mtokens$2est. cost36active days$2 est. cost · 36 active days
  4. 4Muhammad Abdullah@iAbdullahMughal29.1Mtokens$4est. cost6active days$4 est. cost · 6 active days
  5. 5Joosung Park@hyperlapse12220.7Mtokens$2est. cost1active days$2 est. cost · 1 active days
  6. 6Lion Chen@LionChenA20.4Mtokens$1est. cost1active days$1 est. cost · 1 active days
  7. 7registered2nd@registered2nd5Mtokens$2est. cost9active days$2 est. cost · 9 active days
  8. 8jc01rho@jc01rho3Mtokens$1est. cost8active days$1 est. cost · 8 active days
  9. 9Tan Jeong Shiun@jeshtan3Mtokens<$1est. cost34active days<$1 est. cost · 34 active days
  10. 10Nuno Gonçalves @NunoGoncalves062.6Mtokens<$1est. cost1active days<$1 est. cost · 1 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