GLM-4.6

Z.aiKey glm-4.6Also reported as z-ai/glm-4.6, zai-org/GLM-4.6, zai/glm-4.6, GLM-4.6, zai-org/glm-4.6

Rank
#119
by active users
Active users
107
All time
Adoption
4.4%
of 2,458 accounts
Tokens
14.1B
cache included
Est. cost
$6.9K
at public list prices
First seen
Sep 30, 2025
in any submission

Oct 10, 2024 – Nov 13, 2026 (UTC)2,458 accounts100% of tokens from an identified modelData through Nov 13, 2026, 04:06 UTCHow we count

Daily active users

Distinct accounts that used this model on each UTC day.

0 active users on Nov 13, 2026

Daily active users for GLM-4.6, Oct 10, 2024 to Nov 13, 2026. Peak 15. Use the left and right arrow keys to read each day.1580
Show daily values
Daily active users and tokens for GLM-4.6
Date (UTC)Active usersTokens
Oct 10, 202400
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Jan 1, 202500
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Jul 24, 202500
Jul 25, 202500
Jul 26, 202500
Jul 27, 202500
Jul 28, 202500
Jul 29, 202500
Jul 30, 202500
Jul 31, 202500
Aug 1, 202500
Aug 2, 202500
Aug 3, 202500
Aug 4, 202500
Aug 5, 202500
Aug 6, 202500
Aug 7, 202500
Aug 8, 202500
Aug 9, 202500
Aug 10, 202500
Aug 11, 202500
Aug 12, 202500
Aug 13, 202500
Aug 14, 202500
Aug 15, 202500
Aug 16, 202500
Aug 17, 202500
Aug 18, 202500
Aug 19, 202500
Aug 20, 202500
Aug 21, 202500
Aug 22, 202500
Aug 23, 202500
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, 202513.2M
Oct 1, 2025322.3M
Oct 2, 202523.6M
Oct 3, 2025691.6M
Oct 4, 2025834.2M
Oct 5, 2025331.6M
Oct 6, 2025474.5M
Oct 7, 2025531M
Oct 8, 2025230.8M
Oct 9, 2025549.3M
Oct 10, 2025381.5M
Oct 11, 2025315.4M
Oct 12, 202522.1M
Oct 13, 2025331.4M
Oct 14, 20254211.1M
Oct 15, 2025599.6M
Oct 16, 2025383.1M
Oct 17, 2025515.1M
Oct 18, 202545.5M
Oct 19, 2025874.4M
Oct 20, 2025758.4M
Oct 21, 2025734.7M
Oct 22, 2025429.5M
Oct 23, 2025391.2M
Oct 24, 2025319.9M
Oct 25, 20255199.2M
Oct 26, 20254263.1M
Oct 27, 20252339.8M
Oct 28, 2025493.4M
Oct 29, 2025667.4M
Oct 30, 2025778.4M
Oct 31, 20254115.1M
Nov 1, 20254276.8M
Nov 2, 202531.1M
Nov 3, 20257137.9M
Nov 4, 2025763.2M
Nov 5, 20253169.5M
Nov 6, 2025476.7M
Nov 7, 2025481.8M
Nov 8, 20252249.6M
Nov 9, 2025249.8M
Nov 10, 2025489M
Nov 11, 202514.3M
Nov 12, 20253646M
Nov 13, 2025552.1M
Nov 14, 2025560.2M
Nov 15, 20255142.4M
Nov 16, 20254173.2M
Nov 17, 20256173.7M
Nov 18, 20256113M
Nov 19, 2025247.9M
Nov 20, 2025749.7M
Nov 21, 20256151.2M
Nov 22, 20253136.7M
Nov 23, 20255112M
Nov 24, 20255150.4M
Nov 25, 20257157.5M
Nov 26, 20257119.6M
Nov 27, 20254362.8M
Nov 28, 20258232.2M
Nov 29, 20258210.4M
Nov 30, 20256201.3M
Dec 1, 2025791M
Dec 2, 20258248.9M
Dec 3, 202513252M
Dec 4, 20256159.3M
Dec 5, 20256245.7M
Dec 6, 20255231.3M
Dec 7, 20257244.8M
Dec 8, 202510190.7M
Dec 9, 20251272.5M
Dec 10, 20251167.5M
Dec 11, 2025777.7M
Dec 12, 20259209.8M
Dec 13, 20257200.8M
Dec 14, 20258752.9M
Dec 15, 202511732M
Dec 16, 202512775.5M
Dec 17, 202515389.3M
Dec 18, 202511181.8M
Dec 19, 202510208.6M
Dec 20, 202513230.3M
Dec 21, 2025951.8M
Dec 22, 202579.9M
Dec 23, 202552M
Dec 24, 202532.2M
Dec 25, 202521.1M
Dec 26, 2025597.7M
Dec 27, 2025214.3M
Dec 28, 2025332.9M
Dec 29, 20253365K
Dec 30, 2025329.2M
Dec 31, 202525.6M
Jan 1, 202615.2K
Jan 2, 2026310.1M
Jan 3, 2026323.1M
Jan 4, 2026330.2M
Jan 5, 2026170.8K
Jan 6, 2026349.8M
Jan 7, 202635.2M
Jan 8, 202619.3M
Jan 9, 20263293.2M
Jan 10, 202624.6M
Jan 11, 2026379.8M
Jan 12, 2026567.7M
Jan 13, 2026317.3M
Jan 14, 20264116.1M
Jan 15, 2026463.3M
Jan 16, 202627.5M
Jan 17, 202624.9M
Jan 18, 2026118.3M
Jan 19, 202611.5M
Jan 20, 202600
Jan 21, 202600
Jan 22, 20262161K
Jan 23, 202600
Jan 24, 202614.2M
Jan 25, 202600
Jan 26, 20262640K
Jan 27, 202643.1M
Jan 28, 2026230M
Jan 29, 202600
Jan 30, 202611M
Jan 31, 20261114K
Feb 1, 202616.1M
Feb 2, 202612.9M
Feb 3, 202612.5M
Feb 4, 2026130K
Feb 5, 202611.8M
Feb 6, 202600
Feb 7, 202600
Feb 8, 202600
Feb 9, 202613.5M
Feb 10, 2026412.4M
Feb 11, 2026267M
Feb 12, 202600
Feb 13, 20261466K
Feb 14, 20261187K
Feb 15, 202622.6M
Feb 16, 202611.3M
Feb 17, 20263101K
Feb 18, 202600
Feb 19, 202614.6M
Feb 20, 202600
Feb 21, 202600
Feb 22, 20261223K
Feb 23, 2026119.3K
Feb 24, 2026118M
Feb 25, 202600
Feb 26, 202600
Feb 27, 202600
Feb 28, 202600
Mar 1, 202600
Mar 2, 202600
Mar 3, 202611.8M
Mar 4, 2026334.3M
Mar 5, 202622.4M
Mar 6, 202600
Mar 7, 202600
Mar 8, 202617.7M
Mar 9, 202615.1M
Mar 10, 202622.5M
Mar 11, 20262741K
Mar 12, 202616.1M
Mar 13, 202600
Mar 14, 202600
Mar 15, 202600
Mar 16, 202600
Mar 17, 202600
Mar 18, 202600
Mar 19, 20263502K
Mar 20, 202636.3M
Mar 21, 202600
Mar 22, 202600
Mar 23, 202600
Mar 24, 202600
Mar 25, 202611.9M
Mar 26, 202632.3M
Mar 27, 202600
Mar 28, 2026233.3M
Mar 29, 202600
Mar 30, 20261154K
Mar 31, 202614.9M
Apr 1, 202600
Apr 2, 20261619K
Apr 3, 202600
Apr 4, 202600
Apr 5, 202600
Apr 6, 202600
Apr 7, 202600
Apr 8, 202618.4M
Apr 9, 2026117.1M
Apr 10, 2026251.7M
Apr 11, 202621.7M
Apr 12, 202611.6M
Apr 13, 2026482.4M
Apr 14, 2026267M
Apr 15, 2026110.1M
Apr 16, 202637M
Apr 17, 202600
Apr 18, 202600
Apr 19, 20261149K
Apr 20, 202614.3M
Apr 21, 202611.5M
Apr 22, 20261342K
Apr 23, 20261756K
Apr 24, 202600
Apr 25, 202600
Apr 26, 202600
Apr 27, 20261405K
Apr 28, 202600
Apr 29, 202600
Apr 30, 202600
May 1, 202611.1M
May 2, 2026124.8M
May 3, 20261547K
May 4, 202600
May 5, 202600
May 6, 2026110.4M
May 7, 202611.2M
May 8, 202600
May 9, 2026126.6K
May 10, 202600
May 11, 202600
May 12, 202600
May 13, 202600
May 14, 202600
May 15, 202600
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May 31, 202600
Jun 1, 202600
Jun 2, 202600
Jun 3, 202600
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Jun 18, 202600
Jun 19, 202600
Jun 20, 202600
Jun 21, 202600
Jun 22, 202600
Jun 23, 202600
Jun 24, 202613.7M
Jun 25, 202600
Jun 26, 202600
Jun 27, 202600
Jun 28, 202600
Jun 29, 2026133.8K
Jun 30, 202600
Jul 1, 202600
Jul 2, 2026163K
Jul 3, 2026124.8K
Jul 4, 202600
Jul 5, 202600
Jul 6, 202600
Jul 7, 202600
Jul 8, 202600
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Jul 22, 202600
Jul 23, 202600
Jul 24, 202600
Jul 25, 202600
Jul 26, 202600
Jul 27, 202600
Jul 28, 202600
Jul 29, 202600
Jul 30, 202600
Jul 31, 202600
Aug 1, 202600
Aug 2, 202600
Aug 3, 202600
Aug 4, 202600
Aug 5, 202600
Aug 6, 202600
Aug 7, 2026128.2K
Aug 8, 202600
Aug 9, 202600
Aug 10, 202600
Aug 11, 202600
Aug 12, 202600
Aug 13, 202600
Aug 14, 202600
Aug 15, 202600
Aug 16, 202600
Aug 17, 202600
Aug 18, 202600
Aug 19, 202600
Aug 20, 202617.3K
Aug 21, 202600
Aug 22, 202600
Aug 23, 202600
Aug 24, 202600
Aug 25, 202600
Aug 26, 202600
Aug 27, 20261729K
Aug 28, 20261148K
Aug 29, 20261126K
Aug 30, 202600
Aug 31, 202600
Sep 1, 202600
Sep 2, 202600
Sep 3, 202600
Sep 4, 20261177K
Sep 5, 20261516K
Sep 6, 20261676K
Sep 7, 20261405K
Sep 8, 20261633K
Sep 9, 20261453K
Sep 10, 20261416K
Sep 11, 202600
Sep 12, 20261703K
Sep 13, 20261377K
Sep 14, 20261635K
Sep 15, 202600
Sep 16, 202600
Sep 17, 202600
Sep 18, 202600
Sep 19, 20261352K
Sep 20, 20261408K
Sep 21, 202600
Sep 22, 20261747K
Sep 23, 202600
Sep 24, 202600
Sep 25, 202600
Sep 26, 202600
Sep 27, 20261546K
Sep 28, 20261659K
Sep 29, 202600
Sep 30, 202600
Oct 1, 202600
Oct 2, 202600
Oct 3, 202600
Oct 4, 20261590K
Oct 5, 20261229K
Oct 6, 20261330K
Oct 7, 20261280K
Oct 8, 20261256K
Oct 9, 20261606K
Oct 10, 20261882K
Oct 11, 20261488K
Oct 12, 20261802K
Oct 13, 20261326K
Oct 14, 20262407K
Oct 15, 20261701K
Oct 16, 20261752K
Oct 17, 202600
Oct 18, 20261596K
Oct 19, 202600
Oct 20, 202616
Oct 21, 202600
Oct 22, 20262292K
Oct 23, 20261537K
Oct 24, 20261655K
Oct 25, 20261632K
Oct 26, 20261583K
Oct 27, 20262572K
Oct 28, 20262465K
Oct 29, 20261383K
Oct 30, 20261346K
Oct 31, 20261401K
Nov 1, 20261655K
Nov 2, 20261382K
Nov 3, 20261384K
Nov 4, 20261355K
Nov 5, 20262451K
Nov 6, 20261367K
Nov 7, 20261381K
Nov 8, 20261644K
Nov 9, 20261268K
Nov 10, 20261617K
Nov 11, 20261566K
Nov 12, 202600
Nov 13, 202600

Token mix

How the 14.1B tokens split. Cache reads are usually most of an agent's tokens and are priced far below input.

  • Input71%
  • Output0.5%
  • Cache read29%
  • Cache write0%
  • Reasoning<0.1%

Agents that carry GLM-4.6

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

  1. OpenCode33% of this model's tokens88active users
  2. Kilo32% of this model's tokens9active users
  3. Claude Code31% of this model's tokens22active users
  4. OpenClaw1.8% of this model's tokens1active users
  5. Roo Code1.4% of this model's tokens1active users
  6. Cline0.2% of this model's tokens3active users
  7. Pi<0.1% of this model's tokens2active users
  8. Gajae Code<0.1% of this model's tokens2active users
  9. Prime Agent<0.1% of this model's tokens1active users
  10. Hermes Agent<0.1% of this model's tokens1active users
  11. DeepSeek Harness<0.1% of this model's tokens1active users
  12. Goose<0.1% of this model's tokens1active users
  13. Cursor<0.1% of this model's tokens1active users
  14. ZCode<0.1% of this model's tokens2active users

Benchmarks

The best result for GLM-4.6 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
  • WebDev ArenaWeb development · LMArena
    1,341
    Rank #92 of 110 matched modelsNo conditions reportedPublished Oct 19, 2026Source: huggingface.co (opens in a new tab)

Not evaluated: Epoch Capabilities Index, GPQA Diamond, Humanity's Last Exam, FrontierMath Tiers 1–3 (v2), 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. Z.AI 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
$0.47
Est. per 1M tokens
29% cache reads
At the community mix
$0.14
Est. per 1M tokens
93% cache reads
3:1 input/output blend
$1
Per 1M tokens at list prices
No cache

Cache reads were 29% of GLM-4.6 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

  • Z.AI list prices per 1M tokens: input $0.60, output $2.20, cache read $0.11, cache write $0.
  • 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.

List prices by provider

  • Z.AIReferenceglm-4.6
    $0.60 input per 1M tokens$2.20 output per 1M tokens$0.11 cache read per 1M tokens$0 cache write per 1M tokens205K tokens of context
  • OpenRouterz-ai/glm-4.6
    $0.50 input per 1M tokens$2 output per 1M tokens$0.10 cache read per 1M tokensCache write not listed205K tokens of context
  • Vercel AI Gatewayzai/glm-4.6
    $0.60 input per 1M tokens$2.20 output per 1M tokens$0.11 cache read per 1M tokensCache write not listed200K tokens of context
  • Deep Infrazai-org/GLM-4.6
    $0.50 input per 1M tokens$2 output per 1M tokens$0.10 cache read per 1M tokensCache write not listed203K 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
205K tokens
Max output
131K tokens
Input
Text
Output
Text
Knowledge cutoff
Apr 2025
Release date
Sep 30, 2025
Open weights
Yes
Reasoning
Yes
Tool calling
Yes

Top public profiles

Public profiles that used GLM-4.6 most in this period, by tokens. Hidden accounts are never listed.

  1. 1Steve Preu@unbraind6.2Btokens$3.4Kest. cost75active days$3.4K est. cost · 75 active days
  2. 2abilliontokens@abilliontokens2.9Btokens$2.1Kest. cost15active days$2.1K est. cost · 15 active days
  3. 3jhin1m@jhin1m564.5Mtokens$77est. cost14active days$77 est. cost · 14 active days
  4. 4comet@zy6p547Mtokens$331est. cost17active days$331 est. cost · 17 active days
  5. 5Howaboua@IgorWarzocha517.6Mtokens$140est. cost32active days$140 est. cost · 32 active days
  6. 6Allen Lee@allenv0407.4Mtokens$68est. cost28active days$68 est. cost · 28 active days
  7. 7shekohex@shekohex326.2Mtokens$118est. cost26active days$118 est. cost · 26 active days
  8. 8LiXin@nodlles275Mtokens$55est. cost19active days$55 est. cost · 19 active days
  9. 9Think4866@Think4866271.7Mtokens$68est. cost1active days$68 est. cost · 1 active days
  10. 10tak@takltc246.1Mtokens$81est. cost30active days$81 est. cost · 30 active days

More from Z.ai

Other Z.ai models in the same period, by active users.

  1. GLM-5.222% adoption550active users
  2. GLM-5.117% adoption430active users
  3. GLM-5.3 Flash16% adoption404active users
  4. GLM-5.315% adoption360active users
  5. GLM-4.714% adoption353active users
  6. GLM-4.7 Free13% adoption328active 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.

  • 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