GLM-4.7

Z.aiKey glm-4.7Also reported as hf:zai-org/glm-4.7, zai/glm-4.7, z-ai/glm-4.7, glm/glm-4.7, zai-org/glm-4.7, hf:zai-org/GLM-4.7, iflow/glm-4.7

Rank
#48
by active users
Active users
353
All time
Adoption
14%
of 2,457 accounts
Tokens
94.3B
cache included
Est. cost
$21.5K
at public list prices
First seen
Dec 22, 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 GLM-4.7, Oct 10, 2024 to Nov 12, 2026. Peak 55. Use the left and right arrow keys to read each day.60300
Show daily values
Daily active users and tokens for GLM-4.7
Date (UTC)Active usersTokens
Oct 10, 202400
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Jan 1, 202500
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Oct 1, 202500
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Oct 4, 202500
Oct 5, 202500
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Oct 22, 202500
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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, 202500
Nov 22, 202500
Nov 23, 202500
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
Dec 7, 202500
Dec 8, 202500
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Dec 10, 202500
Dec 11, 202500
Dec 12, 202500
Dec 13, 202500
Dec 14, 202500
Dec 15, 202500
Dec 16, 202500
Dec 17, 202500
Dec 18, 202500
Dec 19, 202500
Dec 20, 202500
Dec 21, 202500
Dec 22, 202548.2M
Dec 23, 202521333.2M
Dec 24, 202518251.3M
Dec 25, 202516431.8M
Dec 26, 202517458.1M
Dec 27, 202513241.6M
Dec 28, 202519329.2M
Dec 29, 202523318.7M
Dec 30, 202519568.7M
Dec 31, 202519435.8M
Jan 1, 202613349.7M
Jan 2, 202622425.7M
Jan 3, 202613262.4M
Jan 4, 202621570.1M
Jan 5, 202626666.2M
Jan 6, 202626795.3M
Jan 7, 202625807.4M
Jan 8, 202627738M
Jan 9, 2026351.6B
Jan 10, 202628883.8M
Jan 11, 202633866.7M
Jan 12, 202645940M
Jan 13, 2026461.3B
Jan 14, 2026491.5B
Jan 15, 2026492.5B
Jan 16, 202645688.7M
Jan 17, 202631658.3M
Jan 18, 202631495.8M
Jan 19, 202644792.9M
Jan 20, 2026411.5B
Jan 21, 2026471.8B
Jan 22, 202647697M
Jan 23, 2026541.3B
Jan 24, 202640975M
Jan 25, 202644965.3M
Jan 26, 2026551.3B
Jan 27, 2026521.1B
Jan 28, 2026441.1B
Jan 29, 202636701.7M
Jan 30, 202644683.1M
Jan 31, 202634310.3M
Feb 1, 202636977.2M
Feb 2, 202644708.9M
Feb 3, 202652786.9M
Feb 4, 202646751.2M
Feb 5, 202651787.8M
Feb 6, 2026481.1B
Feb 7, 202641792.8M
Feb 8, 2026421B
Feb 9, 2026431.1B
Feb 10, 2026481.1B
Feb 11, 202651810.4M
Feb 12, 202641627.1M
Feb 13, 202637501.2M
Feb 14, 202627169.8M
Feb 15, 202631152.8M
Feb 16, 202629261.5M
Feb 17, 202633323.2M
Feb 18, 202630428.7M
Feb 19, 202626341.4M
Feb 20, 202625323.7M
Feb 21, 202621135.8M
Feb 22, 202626721.6M
Feb 23, 202629518.7M
Feb 24, 202638665M
Feb 25, 202621435M
Feb 26, 202628414.9M
Feb 27, 202622763.1M
Feb 28, 202622483.8M
Mar 1, 202624750.1M
Mar 2, 202625423.4M
Mar 3, 202629917.2M
Mar 4, 2026271.2B
Mar 5, 202626803.2M
Mar 6, 202626648.5M
Mar 7, 2026191.1B
Mar 8, 202618647.6M
Mar 9, 202622726M
Mar 10, 202620250.9M
Mar 11, 202619363.1M
Mar 12, 202621123.4M
Mar 13, 202622303.6M
Mar 14, 202620466.7M
Mar 15, 202619606.4M
Mar 16, 202624639.3M
Mar 17, 202618888.9M
Mar 18, 202614282.7M
Mar 19, 202617287.6M
Mar 20, 202617327.6M
Mar 21, 20269250.4M
Mar 22, 202614168.5M
Mar 23, 202622257.8M
Mar 24, 202615355.6M
Mar 25, 202618225.4M
Mar 26, 202620271.2M
Mar 27, 202619259.4M
Mar 28, 202617242.4M
Mar 29, 202616342.8M
Mar 30, 20261572.6M
Mar 31, 202622144.5M
Apr 1, 202620334.6M
Apr 2, 202621484M
Apr 3, 202618134.6M
Apr 4, 20261485.1M
Apr 5, 202616189M
Apr 6, 202618450.1M
Apr 7, 202616200.5M
Apr 8, 202618556.7M
Apr 9, 202618327.8M
Apr 10, 202613197.5M
Apr 11, 202613552M
Apr 12, 202614371.6M
Apr 13, 202614231.7M
Apr 14, 202613113.9M
Apr 15, 202615105.1M
Apr 16, 202620273.5M
Apr 17, 2026141.1B
Apr 18, 202613686.6M
Apr 19, 202611126.7M
Apr 20, 2026960.4M
Apr 21, 202610246M
Apr 22, 20267183.5M
Apr 23, 20268222.2M
Apr 24, 20261299.5M
Apr 25, 20268343.7M
Apr 26, 20267153.7M
Apr 27, 2026968.9M
Apr 28, 202615438.4M
Apr 29, 202610190.4M
Apr 30, 2026613.5M
May 1, 202646.3M
May 2, 20265416.2M
May 3, 202646M
May 4, 2026412.9M
May 5, 20268125.5M
May 6, 20268253M
May 7, 2026998.9M
May 8, 20267290.8M
May 9, 2026715.3M
May 10, 2026717M
May 11, 2026919.8M
May 12, 2026826.6M
May 13, 2026872.6M
May 14, 2026662.7M
May 15, 2026412.1M
May 16, 20261122K
May 17, 202667.5M
May 18, 20267103.2M
May 19, 2026539.2M
May 20, 2026430.5M
May 21, 2026624.4M
May 22, 20262870K
May 23, 202635M
May 24, 20261198K
May 25, 202634.6M
May 26, 20262784K
May 27, 2026471.6M
May 28, 2026533M
May 29, 2026792.3M
May 30, 20264156.7M
May 31, 2026461.4M
Jun 1, 20266225.9M
Jun 2, 20266206.1M
Jun 3, 20265489.6M
Jun 4, 202666.2M
Jun 5, 202635.1M
Jun 6, 20263132K
Jun 7, 2026213M
Jun 8, 202632M
Jun 9, 202631M
Jun 10, 202636.3M
Jun 11, 202632.1M
Jun 12, 2026232.1M
Jun 13, 2026418.7M
Jun 14, 2026420.7M
Jun 15, 2026862.6M
Jun 16, 2026531.7M
Jun 17, 2026577.2M
Jun 18, 20268427.2M
Jun 19, 202610323.8M
Jun 20, 20268264.4M
Jun 21, 20264193.7M
Jun 22, 202612211.5M
Jun 23, 20269285.2M
Jun 24, 202611211.7M
Jun 25, 20268105.5M
Jun 26, 202610328M
Jun 27, 2026724.5M
Jun 28, 2026521.1M
Jun 29, 20268123M
Jun 30, 2026961.5M
Jul 1, 2026882.4M
Jul 2, 2026777.5M
Jul 3, 20267165.8M
Jul 4, 20263363M
Jul 5, 20266304.2M
Jul 6, 20268386.7M
Jul 7, 20268325.6M
Jul 8, 20267314.6M
Jul 9, 2026560.4M
Jul 10, 20267167.6M
Jul 11, 2026533.7M
Jul 12, 20266229.9M
Jul 13, 20267317.2M
Jul 14, 20265336.6M
Jul 15, 20265535M
Jul 16, 20265220.2M
Jul 17, 20264334M
Jul 18, 2026646.6M
Jul 19, 20265123.2M
Jul 20, 20265410.6M
Jul 21, 20264396.6M
Jul 22, 20265401M
Jul 23, 20265349.1M
Jul 24, 20264194.7M
Jul 25, 2026263M
Jul 26, 20264219.3M
Jul 27, 20266351.1M
Jul 28, 20265453.3M
Jul 29, 20268197.3M
Jul 30, 20266288.1M
Jul 31, 20265211.8M
Aug 1, 20264356M
Aug 2, 20265470.5M
Aug 3, 20269117.9M
Aug 4, 2026439.2M
Aug 5, 20267238.5M
Aug 6, 20264400.7M
Aug 7, 20263364.3M
Aug 8, 20262137M
Aug 9, 20264276.5M
Aug 10, 20263287.5M
Aug 11, 20263583.1M
Aug 12, 20266360.8M
Aug 13, 20264370.1M
Aug 14, 20264206.2M
Aug 15, 20263385.2M
Aug 16, 202639M
Aug 17, 20265289.7M
Aug 18, 20262217.3M
Aug 19, 20262107.8M
Aug 20, 20261214.6M
Aug 21, 20261161.5M
Aug 22, 20262120.9M
Aug 23, 2026360.6M
Aug 24, 20264254.1M
Aug 25, 20264153.3M
Aug 26, 2026341.2M
Aug 27, 20262117.1M
Aug 28, 20261187.7M
Aug 29, 2026139.8M
Aug 30, 202611.6M
Aug 31, 20262329.6M
Sep 1, 20262171M
Sep 2, 2026290.7M
Sep 3, 202600
Sep 4, 2026124.6K
Sep 5, 202600
Sep 6, 202615.6M
Sep 7, 202612.3M
Sep 8, 202600
Sep 9, 202600
Sep 10, 202632.4M
Sep 11, 20262143.5M
Sep 12, 2026115.4M
Sep 13, 2026296.1M
Sep 14, 20261155.5M
Sep 15, 2026483.4M
Sep 16, 2026116.4M
Sep 17, 2026224.9M
Sep 18, 202622.1M
Sep 19, 202611.5M
Sep 20, 2026314.4M
Sep 21, 2026110.6M
Sep 22, 202600
Sep 23, 202600
Sep 24, 202622M
Sep 25, 2026116.6M
Sep 26, 20261485K
Sep 27, 202600
Sep 28, 202615.6M
Sep 29, 202600
Sep 30, 202600
Oct 1, 2026121.1K
Oct 2, 202600
Oct 3, 202600
Oct 4, 202600
Oct 5, 202600
Oct 6, 202600
Oct 7, 202600
Oct 8, 202600
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Oct 10, 202600
Oct 11, 202600
Oct 12, 202600
Oct 13, 202600
Oct 14, 202600
Oct 15, 202600
Oct 16, 202600
Oct 17, 202600
Oct 18, 20261782K
Oct 19, 202600
Oct 20, 202612.6M
Oct 21, 202614.7M
Oct 22, 202600
Oct 23, 202600
Oct 24, 202600
Oct 25, 202600
Oct 26, 202600
Oct 27, 20261472K
Oct 28, 202600
Oct 29, 202600
Oct 30, 202600
Oct 31, 20261102
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 94.3B tokens split. Cache reads are usually most of an agent's tokens and are priced far below input.

  • Input29%
  • Output0.7%
  • Cache read70%
  • Cache write<0.1%
  • Reasoning<0.1%

Agents that carry GLM-4.7

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

  1. OpenCode48% of this model's tokens239active users
  2. Claude Code42% of this model's tokens162active users
  3. Kilo5.0% of this model's tokens6active users
  4. Pi1.5% of this model's tokens19active users
  5. ZCode1.4% of this model's tokens4active users
  6. OpenClaw1.1% of this model's tokens25active users
  7. cc-mirror/zaicc0.1% of this model's tokens1active users
  8. Cursor<0.1% of this model's tokens4active users
  9. Hermes Agent<0.1% of this model's tokens9active users
  10. Qwen<0.1% of this model's tokens2active users
  11. Roo Code<0.1% of this model's tokens2active users
  12. cc-mirror/zai<0.1% of this model's tokens1active users
  13. Synthetic<0.1% of this model's tokens3active users
  14. Goose<0.1% of this model's tokens2active users
  15. OpenCodeReview<0.1% of this model's tokens1active users
  16. CodeBuddy<0.1% of this model's tokens3active users
  17. Gajae Code<0.1% of this model's tokens1active users
  18. Oh My Pi<0.1% of this model's tokens3active users
  19. Codex CLI<0.1% of this model's tokens4active users
  20. Copilot<0.1% of this model's tokens1active users
  21. Cherry Studio<0.1% of this model's tokens2active users
  22. Prime Agent<0.1% of this model's tokens1active users
  23. Cline<0.1% of this model's tokens1active users

Benchmarks

The best result for GLM-4.7 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
    143.3
    Rank #100 of 158 matched modelsNo conditions reportedModel released Dec 22, 2025Source: epoch.ai (opens in a new tab)
  • WebDev ArenaWeb development · LMArena
    1,435
    Rank #69 of 110 matched modelsNo conditions reportedPublished Oct 19, 2026Source: huggingface.co (opens in a new tab)
  • GPQA DiamondReasoning · Epoch AI
    83.3%
    Rank #82 of 160 matched modelsNo conditions reportedRun date Jan 29, 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.

  • SimpleQA VerifiedKnowledge · Epoch AI
    32.2%
    Rank #65 of 86 matched modelsNo conditions reportedRun date Aug 27, 2026Source: epoch.ai (opens in a new tab)

Not evaluated: Humanity's Last Exam, FrontierMath Tiers 1–3 (v2), 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
$0.27
Est. per 1M tokens
70% 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 70% of GLM-4.7 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-4.7
    $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
  • Amazon Bedrockzai.glm-4.7
    $0.60 input per 1M tokens$2.20 output per 1M tokensCache read not listedCache write not listed203K tokens of context
  • OpenRouterz-ai/glm-4.7
    $0.60 input per 1M tokens$2.20 output per 1M tokens$0.11 cache read per 1M tokensCache write not listed205K tokens of context
  • Vercel AI Gatewayzai/glm-4.7
    $0.60 input per 1M tokens$2.20 output per 1M tokensCache read not listedCache write not listed200K tokens of context
  • Deep Infrazai-org/GLM-4.7
    $0.40 input per 1M tokens$1.75 output per 1M tokens$0.08 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
Dec 22, 2025
Open weights
Yes
Reasoning
Yes
Tool calling
Yes

Top public profiles

Public profiles that used GLM-4.7 most in this period, by tokens. Hidden accounts are never listed.

  1. 1Zen Huifer@huifer15.2Btokens$2.2Kest. cost143active days$2.2K est. cost · 143 active days
  2. 2alexmhtop@alexmhtop13.9Btokens$6.4Kest. cost78active days$6.4K est. cost · 78 active days
  3. 3ZoOL@foxzool7Btokens$1.6Kest. cost87active days$1.6K est. cost · 87 active days
  4. 4Steve Preu@unbraind5.5Btokens$2.2Kest. cost69active days$2.2K est. cost · 69 active days
  5. 5Alexander B@rygel5.1Btokens—est. cost24active daysno price · 24 active days
  6. 6Owen@kang-heewon3.2Btokens$1.4Kest. cost96active days$1.4K est. cost · 96 active days
  7. 7Think4866@Think48663.1Btokens$587est. cost8active days$587 est. cost · 8 active days
  8. 8Marco Frömbgen@mfroembgen2.7Btokens$430est. cost17active days$430 est. cost · 17 active days
  9. 9Bhavesh Patil@Uraniumking0072.5Btokens$484est. cost54active days$484 est. cost · 54 active days
  10. 10Michael Cheng@Michaelooo2.3Btokens$396est. cost81active days$396 est. cost · 81 active days

More from Z.ai

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

  1. GLM-5.222% adoption549active users
  2. GLM-5.118% adoption430active users
  3. GLM-5.3 Flash16% adoption403active users
  4. GLM-5.315% adoption357active users
  5. GLM-4.7 Free13% adoption328active users
  6. GLM-513% adoption323active 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