Gemini 3.6 Flash

GoogleKey gemini-3.6-flashAlso reported as google/gemini-3.6-flash, google-antigravity/gemini-3.6-flash, gemini/gemini-3.6-flash

No usage of Gemini 3.6 Flash in the last 7 days. Showing all time instead.

Rank
#72
by active users
Active users
215
All time
Adoption
8.8%
of 2,457 accounts
Tokens
97.3B
cache included
Est. cost
$18.2K
at public list prices
First seen
Nov 21, 2025
in any submission

Oct 10, 2024 – Nov 12, 2026 (UTC)2,457 accounts100% of tokens from an identified modelData through Nov 12, 2026, 07:51 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 3.6 Flash, Oct 10, 2024 to Nov 12, 2026. Peak 63. Use the left and right arrow keys to read each day.80400
Show daily values
Daily active users and tokens for Gemini 3.6 Flash
Date (UTC)Active usersTokens
Oct 10, 202400
Oct 11, 202400
Oct 12, 202400
Oct 13, 202400
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Oct 15, 202400
Oct 16, 202400
Oct 17, 202400
Oct 18, 202400
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Oct 20, 202400
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Oct 22, 202400
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Oct 24, 202400
Oct 25, 202400
Oct 26, 202400
Oct 27, 202400
Oct 28, 202400
Oct 29, 202400
Oct 30, 202400
Oct 31, 202400
Nov 1, 202400
Nov 2, 202400
Nov 3, 202400
Nov 4, 202400
Nov 5, 202400
Nov 6, 202400
Nov 7, 202400
Nov 8, 202400
Nov 9, 202400
Nov 10, 202400
Nov 11, 202400
Nov 12, 202400
Nov 13, 202400
Nov 14, 202400
Nov 15, 202400
Nov 16, 202400
Nov 17, 202400
Nov 18, 202400
Nov 19, 202400
Nov 20, 202400
Nov 21, 202400
Nov 22, 202400
Nov 23, 202400
Nov 24, 202400
Nov 25, 202400
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
Dec 8, 202400
Dec 9, 202400
Dec 10, 202400
Dec 11, 202400
Dec 12, 202400
Dec 13, 202400
Dec 14, 202400
Dec 15, 202400
Dec 16, 202400
Dec 17, 202400
Dec 18, 202400
Dec 19, 202400
Dec 20, 202400
Dec 21, 202400
Dec 22, 202400
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Dec 24, 202400
Dec 25, 202400
Dec 26, 202400
Dec 27, 202400
Dec 28, 202400
Dec 29, 202400
Dec 30, 202400
Dec 31, 202400
Jan 1, 202500
Jan 2, 202500
Jan 3, 202500
Jan 4, 202500
Jan 5, 202500
Jan 6, 202500
Jan 7, 202500
Jan 8, 202500
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Jan 31, 202500
Feb 1, 202500
Feb 2, 202500
Feb 3, 202500
Feb 4, 202500
Feb 5, 202500
Feb 6, 202500
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Feb 25, 202500
Feb 26, 202500
Feb 27, 202500
Feb 28, 202500
Mar 1, 202500
Mar 2, 202500
Mar 3, 202500
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Mar 31, 202500
Apr 1, 202500
Apr 2, 202500
Apr 3, 202500
Apr 4, 202500
Apr 5, 202500
Apr 6, 202500
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Jun 1, 202500
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Aug 1, 202500
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Aug 24, 202500
Aug 25, 202500
Aug 26, 202500
Aug 27, 202500
Aug 28, 202500
Aug 29, 202500
Aug 30, 202500
Aug 31, 202500
Sep 1, 202500
Sep 2, 202500
Sep 3, 202500
Sep 4, 202500
Sep 5, 202500
Sep 6, 202500
Sep 7, 202500
Sep 8, 202500
Sep 9, 202500
Sep 10, 202500
Sep 11, 202500
Sep 12, 202500
Sep 13, 202500
Sep 14, 202500
Sep 15, 202500
Sep 16, 202500
Sep 17, 202500
Sep 18, 202500
Sep 19, 202500
Sep 20, 202500
Sep 21, 202500
Sep 22, 202500
Sep 23, 202500
Sep 24, 202500
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
Oct 6, 202500
Oct 7, 202500
Oct 8, 202500
Oct 9, 202500
Oct 10, 202500
Oct 11, 202500
Oct 12, 202500
Oct 13, 202500
Oct 14, 202500
Oct 15, 202500
Oct 16, 202500
Oct 17, 202500
Oct 18, 202500
Oct 19, 202500
Oct 20, 202500
Oct 21, 202500
Oct 22, 202500
Oct 23, 202500
Oct 24, 202500
Oct 25, 202500
Oct 26, 202500
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
Nov 9, 202500
Nov 10, 202500
Nov 11, 202500
Nov 12, 202500
Nov 13, 202500
Nov 14, 202500
Nov 15, 202500
Nov 16, 202500
Nov 17, 202500
Nov 18, 202500
Nov 19, 202500
Nov 20, 202500
Nov 21, 2025115M
Nov 22, 202500
Nov 23, 202500
Nov 24, 202500
Nov 25, 202514.1M
Nov 26, 202500
Nov 27, 202500
Nov 28, 202500
Nov 29, 2025111.9M
Nov 30, 2025111.5M
Dec 1, 2025124.1M
Dec 2, 2025128.1M
Dec 3, 2025124.1M
Dec 4, 2025192.8M
Dec 5, 2025126.7M
Dec 6, 202515.5M
Dec 7, 2025122.2M
Dec 8, 202500
Dec 9, 202500
Dec 10, 202519.8M
Dec 11, 202500
Dec 12, 2025123.7M
Dec 13, 202500
Dec 14, 202515.3M
Dec 15, 202517M
Dec 16, 202500
Dec 17, 202500
Dec 18, 202500
Dec 19, 2025137.8M
Dec 20, 2025126.4M
Dec 21, 202500
Dec 22, 202500
Dec 23, 202514.1M
Dec 24, 202500
Dec 25, 202500
Dec 26, 202500
Dec 27, 2025114.6M
Dec 28, 202500
Dec 29, 2025114.8M
Dec 30, 202500
Dec 31, 2025125M
Jan 1, 2026229.4M
Jan 2, 20261870
Jan 3, 20261870
Jan 4, 20261870
Jan 5, 2026212.7M
Jan 6, 20261870
Jan 7, 20261870
Jan 8, 2026217M
Jan 9, 2026289.1M
Jan 10, 2026211.8M
Jan 11, 202625.3M
Jan 12, 20261870
Jan 13, 20261870
Jan 14, 2026221.3M
Jan 15, 2026226.6M
Jan 16, 20261870
Jan 17, 20261870
Jan 18, 20261870
Jan 19, 20261870
Jan 20, 2026238M
Jan 21, 20262938K
Jan 22, 2026229.9M
Jan 23, 2026278.4M
Jan 24, 202624.5M
Jan 25, 20261870
Jan 26, 20261870
Jan 27, 20261870
Jan 28, 20261870
Jan 29, 20261870
Jan 30, 2026213.9M
Jan 31, 2026216.2M
Feb 1, 20261870
Feb 2, 20261870
Feb 3, 2026252.1M
Feb 4, 2026258.4M
Feb 5, 20261870
Feb 6, 20261870
Feb 7, 2026217.1M
Feb 8, 20261870
Feb 9, 20261870
Feb 10, 20261870
Feb 11, 2026261.3M
Feb 12, 202625M
Feb 13, 2026245.4M
Feb 14, 20261870
Feb 15, 20261870
Feb 16, 2026210.1M
Feb 17, 20261870
Feb 18, 2026243M
Feb 19, 2026224.1M
Feb 20, 2026238.4M
Feb 21, 202627.6M
Feb 22, 20261870
Feb 23, 2026232.9M
Feb 24, 20261870
Feb 25, 20261870
Feb 26, 2026211.4M
Feb 27, 20261870
Feb 28, 20261870
Mar 1, 202628.6M
Mar 2, 2026280.8M
Mar 3, 20261870
Mar 4, 20261870
Mar 5, 2026216.7M
Mar 6, 20261870
Mar 7, 202624.9M
Mar 8, 20261870
Mar 9, 20262101.5M
Mar 10, 2026222.6M
Mar 11, 2026215.6M
Mar 12, 20261870
Mar 13, 2026225.2M
Mar 14, 20261870
Mar 15, 20261870
Mar 16, 2026229.1M
Mar 17, 2026222.9M
Mar 18, 2026236.8M
Mar 19, 20261870
Mar 20, 2026211.1M
Mar 21, 20261870
Mar 22, 20261870
Mar 23, 202627.7M
Mar 24, 20261870
Mar 25, 20261870
Mar 26, 2026210.8M
Mar 27, 20261870
Mar 28, 20261870
Mar 29, 20261870
Mar 30, 2026229.8M
Mar 31, 20261870
Apr 1, 2026230M
Apr 2, 2026243M
Apr 3, 20261870
Apr 4, 20261870
Apr 5, 20261870
Apr 6, 2026216.3M
Apr 7, 20261870
Apr 8, 2026240.1M
Apr 9, 20261870
Apr 10, 202628.7M
Apr 11, 20261870
Apr 12, 20261870
Apr 13, 2026213.4M
Apr 14, 2026215.7M
Apr 15, 202626.5M
Apr 16, 20261870
Apr 17, 2026226.3M
Apr 18, 202625M
Apr 19, 20261870
Apr 20, 2026219.6M
Apr 21, 20261870
Apr 22, 20261870
Apr 23, 20261870
Apr 24, 2026256.6M
Apr 25, 20261870
Apr 26, 20261870
Apr 27, 20261870
Apr 28, 20261870
Apr 29, 20261870
Apr 30, 20261870
May 1, 20261870
May 2, 20261870
May 3, 20261870
May 4, 20261870
May 5, 20261870
May 6, 20261870
May 7, 20261870
May 8, 20261870
May 9, 20261870
May 10, 20261870
May 11, 20261870
May 12, 20261870
May 13, 20261870
May 14, 20261870
May 15, 20261870
May 16, 20261870
May 17, 20261870
May 18, 20261870
May 19, 20261870
May 20, 20261870
May 21, 20261870
May 22, 20261870
May 23, 20261870
May 24, 20261870
May 25, 20261870
May 26, 20261870
May 27, 20261870
May 28, 20261869
May 29, 20261869
May 30, 20261869
May 31, 20261869
Jun 1, 20261869
Jun 2, 20261869
Jun 3, 20261869
Jun 4, 20261869
Jun 5, 20261869
Jun 6, 20261869
Jun 7, 20261869
Jun 8, 20261869
Jun 9, 20261869
Jun 10, 20261869
Jun 11, 20261869
Jun 12, 20261869
Jun 13, 20261869
Jun 14, 202600
Jun 15, 202600
Jun 16, 20261869
Jun 17, 20261869
Jun 18, 20261869
Jun 19, 202600
Jun 20, 202600
Jun 21, 202600
Jun 22, 20261869
Jun 23, 20261869
Jun 24, 20261869
Jun 25, 20261869
Jun 26, 20261869
Jun 27, 20261869
Jun 28, 20261869
Jun 29, 20261869
Jun 30, 20261869
Jul 1, 20261869
Jul 2, 20261869
Jul 3, 20261869
Jul 4, 20261869
Jul 5, 20261869
Jul 6, 20261869
Jul 7, 20261869
Jul 8, 20261869
Jul 9, 20261869
Jul 10, 20261869
Jul 11, 20261869
Jul 12, 20261868
Jul 13, 20261868
Jul 14, 2026232.5K
Jul 15, 20261868
Jul 16, 202624K
Jul 17, 20261868
Jul 18, 2026289K
Jul 19, 20261868
Jul 20, 20261868
Jul 21, 202623478M
Jul 22, 2026592.1B
Jul 23, 2026511.7B
Jul 24, 2026521.5B
Jul 25, 202631945.5M
Jul 26, 202627707.7M
Jul 27, 2026481.5B
Jul 28, 2026441.6B
Jul 29, 2026501.6B
Jul 30, 2026571B
Jul 31, 2026611.9B
Aug 1, 2026401.8B
Aug 2, 2026341.5B
Aug 3, 2026562.6B
Aug 4, 2026632.8B
Aug 5, 2026592.8B
Aug 6, 2026583.3B
Aug 7, 2026532.5B
Aug 8, 2026353B
Aug 9, 2026411.3B
Aug 10, 2026503.1B
Aug 11, 2026442.7B
Aug 12, 2026473.2B
Aug 13, 2026467B
Aug 14, 2026366B
Aug 15, 2026161.2B
Aug 16, 2026144.1B
Aug 17, 2026224.7B
Aug 18, 2026182.7B
Aug 19, 202612668.7M
Aug 20, 202621969.3M
Aug 21, 2026143B
Aug 22, 2026916B
Aug 23, 202612680.2M
Aug 24, 202612922.7M
Aug 25, 20261760.7M
Aug 26, 20261453.8M
Aug 27, 202611459.4M
Aug 28, 20261235.1M
Aug 29, 2026436.8M
Aug 30, 2026611.3M
Aug 31, 2026480.2M
Sep 1, 20267305.5M
Sep 2, 20269128M
Sep 3, 202662.7M
Sep 4, 2026618.6M
Sep 5, 20263483K
Sep 6, 202653.1M
Sep 7, 202664.3M
Sep 8, 2026550.2M
Sep 9, 202636.1M
Sep 10, 2026317.1M
Sep 11, 2026549.7M
Sep 12, 202646.3M
Sep 13, 2026594.5M
Sep 14, 2026485.5M
Sep 15, 202682.8M
Sep 16, 2026332.6M
Sep 17, 202647.7M
Sep 18, 2026625.3M
Sep 19, 2026564.8M
Sep 20, 202643.6M
Sep 21, 202655M
Sep 22, 202667.2M
Sep 23, 2026572.2M
Sep 24, 2026316.6M
Sep 25, 202627.6M
Sep 26, 20262266K
Sep 27, 202635.5M
Sep 28, 2026528.5M
Sep 29, 2026510.8M
Sep 30, 20262453K
Oct 1, 2026594.7M
Oct 2, 202645.7M
Oct 3, 202621.1K
Oct 4, 202644.2M
Oct 5, 20261868
Oct 6, 2026310.5M
Oct 7, 20261867
Oct 8, 202629.7M
Oct 9, 2026311.1M
Oct 10, 2026211.2M
Oct 11, 2026211M
Oct 12, 202624M
Oct 13, 202627.2M
Oct 14, 202624.4M
Oct 15, 202625.7M
Oct 16, 202623.2M
Oct 17, 20261867
Oct 18, 20261867
Oct 19, 20261867
Oct 20, 20261867
Oct 21, 20261867
Oct 22, 20261867
Oct 23, 20261867
Oct 24, 20261867
Oct 25, 20261867
Oct 26, 20261867
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, 2026125K
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 97.3B tokens split. Cache reads are usually most of an agent's tokens and are priced far below input.

  • Input10.0%
  • Output0.5%
  • Cache read89%
  • Cache write0.3%
  • Reasoning<0.1%

Agents that carry Gemini 3.6 Flash

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

  1. Pi65% of this model's tokens18active users
  2. Antigravity CLI15% of this model's tokens137active users
  3. Antigravity8.3% of this model's tokens25active users
  4. Antigravity IDE Extension4.8% of this model's tokens34active users
  5. Oh My Pi3.3% of this model's tokens14active users
  6. Claude Code2.1% of this model's tokens13active users
  7. OpenCode0.4% of this model's tokens14active users
  8. OpenCodeReview0.3% of this model's tokens1active users
  9. Senpi (OmO Native)0.1% of this model's tokens5active users
  10. Codex CLI<0.1% of this model's tokens6active users
  11. Hermes Agent<0.1% of this model's tokens25active users
  12. DeepSeek Harness<0.1% of this model's tokens1active users
  13. Gemini CLI<0.1% of this model's tokens2active users
  14. OpenClaw<0.1% of this model's tokens1active users
  15. Aside<0.1% of this model's tokens1active users
  16. Kilo<0.1% of this model's tokens1active users
  17. Goose<0.1% of this model's tokens1active users
  18. Junie<0.1% of this model's tokens2active users
  19. Gajae Code<0.1% of this model's tokens1active users

Benchmarks

The best result for Gemini 3.6 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
    155.2
    Rank #44 of 158 matched modelsNo conditions reportedModel released Jul 21, 2026Source: epoch.ai (opens in a new tab)
  • DeepSWEAgentic coding · Datacurve, collected by Epoch AI
    46.7%
    Rank #21 of 26 matched modelsHigh · mini-swe-agentModel released Jul 21, 2026Source: deepswe.datacurve.ai (opens in a new tab)
  • WebDev ArenaWeb development · LMArena
    1,538
    Rank #43 of 110 matched modelsHighPublished Oct 19, 2026Source: huggingface.co (opens in a new tab)
  • GPQA DiamondReasoning · Epoch AI
    94.1%
    Rank #13 of 160 matched modelsHighRun date Aug 2, 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-3.6-flash_low
      86.4%
      LowRun date Aug 6, 2026Source: epoch.ai (opens in a new tab)
    • Listed as gemini-3.6-flash_minimal
      85.9%
      MinimalRun date Aug 7, 2026Source: epoch.ai (opens in a new tab)
  • FrontierMath Tiers 1–3 (v2)Reasoning · Epoch AI
    58.9%
    Rank #46 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.

  • SimpleQA VerifiedKnowledge · Epoch AI
    66.2%
    Rank #15 of 86 matched modelsHighRun date Aug 27, 2026Source: epoch.ai (opens in a new tab)

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
$0.17
Est. per 1M tokens
89% cache reads
At the community mix
$0.14
Est. per 1M tokens
93% cache reads
3:1 input/output blend
$1.50
Per 1M tokens at list prices
No cache

Cache reads were 89% of Gemini 3.6 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 $0.75, output $3.75, cache read $0.07.
  • 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-3.6-flash
    $0.75 input per 1M tokens$3.75 output per 1M tokens$0.07 cache read per 1M tokensCache write not listed1.05M tokens of context
  • Vertexgemini-3.6-flash
    $0.75 input per 1M tokens$3.75 output per 1M tokens$0.07 cache read per 1M tokensCache write not listed1.05M tokens of context
  • OpenRoutergoogle/gemini-3.6-flash
    $0.75 input per 1M tokens$3.75 output per 1M tokens$0.07 cache read per 1M tokens$0.04 cache write per 1M tokens1.05M tokens of context
  • Vercel AI Gatewaygoogle/gemini-3.6-flash
    $0.75 input per 1M tokens$3.75 output per 1M tokens$0.07 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 3.6 Flash most in this period, by tokens. Hidden accounts are never listed.

  1. 1Alex Gorbatchev@alexgorbatchev39.5Btokens$5.7Kest. cost25active days$5.7K est. cost · 25 active days
  2. 2Mateo Palau@mateopalau13.2Btokens$3.7Kest. cost34active days$3.7K est. cost · 34 active days
  3. 3Nehr@AgileInnov8tor9.3Btokens$1.7Kest. cost40active days$1.7K est. cost · 40 active days
  4. 4Tyson Goulding@tysongoulding3.3Btokens$428est. cost100active days$428 est. cost · 100 active days
  5. 5Peter Brian Gwadenya@pgwiz2.4Btokens$311est. cost32active days$311 est. cost · 32 active days
  6. 6Paskasius Gian@GianAv231.5Btokens$210est. cost20active days$210 est. cost · 20 active days
  7. 7AJ@aj26661.5Btokens$227est. cost20active days$227 est. cost · 20 active days
  8. 8WooSung Jang@Fuzen24781.5Btokens$244est. cost5active days$244 est. cost · 5 active days
  9. 9Jeff Emanuel@Dicklesworthstone1.4Btokens$211est. cost5active days$211 est. cost · 5 active days
  10. 10Tom@tradmangh1.2Btokens$147est. cost31active days$147 est. cost · 31 active days

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