GLM-5.1

Z.aiKey glm-5.1Also reported as z-ai/glm-5.1, zai/glm-5.1, ocg/glm-5.1, frank/glm-5.1, cr/glm-5.1, zai-org/glm-5.1, pro/zai-org/glm-5.1, glm/glm-5.1, opencode-go/glm-5.1, bbg/zai-org/glm-5.1, zhipu/glm-5.1, zhipuai/glm-5.1, zyloo/glm-5.1, z.ai/glm-5.1, ai-proxy/z.ai coding plan/glm-5.1

Rank
#43
by active users
Active users
430
All time
Adoption
18%
of 2,457 accounts
Tokens
152.7B
cache included
Est. cost
$139.2K
at public list prices
First seen
Mar 27, 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 GLM-5.1, Oct 10, 2024 to Nov 12, 2026. Peak 72. Use the left and right arrow keys to read each day.80400
Show daily values
Daily active users and tokens for GLM-5.1
Date (UTC)Active usersTokens
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Mar 27, 202618163.5M
Mar 28, 202625334.6M
Mar 29, 202629435.6M
Mar 30, 202631314.9M
Mar 31, 202633631.7M
Apr 1, 202629671.2M
Apr 2, 202637985.5M
Apr 3, 202635650.8M
Apr 4, 202638612.9M
Apr 5, 202636562.3M
Apr 6, 2026381.2B
Apr 7, 2026481.5B
Apr 8, 2026571.6B
Apr 9, 2026681.6B
Apr 10, 202659953.5M
Apr 11, 202648723.3M
Apr 12, 2026561.3B
Apr 13, 2026711.6B
Apr 14, 2026671.2B
Apr 15, 2026651.4B
Apr 16, 2026701.7B
Apr 17, 2026681.9B
Apr 18, 2026591.8B
Apr 19, 2026571.4B
Apr 20, 2026671.3B
Apr 21, 2026611.2B
Apr 22, 2026671.5B
Apr 23, 2026581.7B
Apr 24, 2026711.2B
Apr 25, 2026561.7B
Apr 26, 2026542.8B
Apr 27, 2026611.6B
Apr 28, 2026641.5B
Apr 29, 2026671.9B
Apr 30, 2026722.1B
May 1, 2026551.7B
May 2, 2026471.5B
May 3, 2026491.7B
May 4, 2026602.3B
May 5, 2026552.5B
May 6, 2026561.9B
May 7, 2026603.3B
May 8, 2026564.1B
May 9, 2026562.5B
May 10, 2026493.3B
May 11, 2026633.4B
May 12, 2026692.4B
May 13, 2026662B
May 14, 2026582.3B
May 15, 2026542.7B
May 16, 2026391.8B
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May 18, 2026481.9B
May 19, 2026542.1B
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May 22, 2026432.2B
May 23, 2026403B
May 24, 2026373.6B
May 25, 2026474.9B
May 26, 2026542.2B
May 27, 2026571.4B
May 28, 2026572.7B
May 29, 2026511.9B
May 30, 2026411.9B
May 31, 2026361.8B
Jun 1, 2026552.3B
Jun 2, 2026522.2B
Jun 3, 2026362.6B
Jun 4, 2026431.2B
Jun 5, 2026471.3B
Jun 6, 2026321.4B
Jun 7, 2026291.5B
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Jun 10, 2026521.8B
Jun 11, 2026532.1B
Jun 12, 2026421.6B
Jun 13, 202636779.5M
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Jun 15, 202638674.4M
Jun 16, 202632631.5M
Jun 17, 202624385.7M
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Jul 1, 202615197M
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Jul 30, 2026748.6M
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Aug 3, 2026526.4M
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Aug 17, 20263273K
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Sep 1, 2026419.4M
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Sep 20, 202622M
Sep 21, 20261451K
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Sep 27, 20261532K
Sep 28, 20262488K
Sep 29, 20261559K
Sep 30, 20261408K
Oct 1, 20261341K
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Oct 5, 20261416K
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Oct 7, 20261451K
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Oct 9, 202600
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Oct 15, 20261330K
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Oct 18, 202617.1M
Oct 19, 2026318.7M
Oct 20, 2026319.5M
Oct 21, 202611.8M
Oct 22, 20262247K
Oct 23, 202626.4M
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Oct 28, 202613.2M
Oct 29, 202616.3M
Oct 30, 202617M
Oct 31, 202612M
Nov 1, 202600
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Nov 3, 20261932K
Nov 4, 202614M
Nov 5, 202612.4M
Nov 6, 202612.6M
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Nov 10, 202613.1M
Nov 11, 202617.2M
Nov 12, 202600

Token mix

How the 152.7B tokens split. Cache reads are usually most of an agent's tokens and are priced far below input.

  • Input13%
  • Output0.4%
  • Cache read87%
  • Cache write<0.1%
  • Reasoning<0.1%

Agents that carry GLM-5.1

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

  1. OpenCode48% of this model's tokens290active users
  2. Claude Code34% of this model's tokens121active users
  3. Pi9.1% of this model's tokens66active users
  4. Hermes Agent4.1% of this model's tokens60active users
  5. OpenClaw2.4% of this model's tokens14active users
  6. Oh My Pi0.6% of this model's tokens7active users
  7. Kilo0.4% of this model's tokens12active users
  8. Codex CLI0.4% of this model's tokens10active users
  9. ZCode0.4% of this model's tokens4active users
  10. WorkBuddy0.3% of this model's tokens11active users
  11. cc-mirror/zaicc0.2% of this model's tokens1active users
  12. Qwen0.2% of this model's tokens4active users
  13. Senpi (OmO Native)<0.1% of this model's tokens1active users
  14. Cursor<0.1% of this model's tokens2active users
  15. Kimi<0.1% of this model's tokens1active users
  16. CodeBuddy<0.1% of this model's tokens3active users
  17. MiMo Code<0.1% of this model's tokens5active users
  18. Junie<0.1% of this model's tokens1active users
  19. Goose<0.1% of this model's tokens1active users
  20. Cline<0.1% of this model's tokens2active users
  21. Grok Build<0.1% of this model's tokens2active users
  22. Gemini CLI<0.1% of this model's tokens1active users
  23. 9Router<0.1% of this model's tokens1active users

Benchmarks

The best result for GLM-5.1 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
    150.7
    Rank #65 of 158 matched modelsNo conditions reportedModel released Apr 7, 2026Source: epoch.ai (opens in a new tab)
  • WebDev ArenaWeb development · LMArena
    1,508
    Rank #52 of 110 matched modelsNo conditions reportedPublished Oct 19, 2026Source: huggingface.co (opens in a new tab)
  • GPQA DiamondReasoning · Epoch AI
    89.9%
    Rank #48 of 160 matched modelsNo conditions reportedRun date Aug 10, 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.

  • FrontierMath Tiers 1–3 (v2)Reasoning · Epoch AI
    36.8%
    Rank #64 of 90 matched modelsNo conditions reportedRun date Aug 29, 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.

    Show 1 more result with other run conditionsHide the other results
    • Listed as glm-5.1_none
      24.9%
      No reasoningRun date Aug 28, 2026Source: epoch.ai (opens in a new tab)
  • SimpleQA VerifiedKnowledge · Epoch AI
    34.0%
    Rank #61 of 86 matched modelsNo conditions reportedRun date Aug 27, 2026Source: epoch.ai (opens in a new tab)
  • SWE-bench VerifiedHistory · Epoch AI
    74.2%
    Rank #16 of 32 matched modelsNo conditions reportedRun date May 15, 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, 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
$0.42
Est. per 1M tokens
87% cache reads
At the community mix
$0.34
Est. per 1M tokens
93% cache reads
3:1 input/output blend
$2.15
Per 1M tokens at list prices
No cache

Cache reads were 87% of GLM-5.1 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 $1.40, output $4.40, cache read $0.26, 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-5.1
    $1.40 input per 1M tokens$4.40 output per 1M tokens$0.26 cache read per 1M tokens$0 cache write per 1M tokens200K tokens of context
  • OpenRouterz-ai/glm-5.1
    $1.40 input per 1M tokens$4.40 output per 1M tokens$0.26 cache read per 1M tokensCache write not listed205K tokens of context
  • Vercel AI Gatewayzai/glm-5.1
    $1.40 input per 1M tokens$4.40 output per 1M tokens$0.26 cache read per 1M tokensCache write not listed203K tokens of context
  • Together AIzai-org/GLM-5.1
    $1.40 input per 1M tokens$4.40 output per 1M tokens$0.26 cache read per 1M tokensCache write not listed203K tokens of context
  • Deep Infrazai-org/GLM-5.1
    $1.05 input per 1M tokens$3.50 output per 1M tokens$0.20 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
200K tokens
Max output
131K tokens
Input
Text
Output
Text
Knowledge cutoff
— not listed
Release date
Apr 7, 2026
Open weights
Yes
Reasoning
Yes
Tool calling
Yes

Top public profiles

Public profiles that used GLM-5.1 most in this period, by tokens. Hidden accounts are never listed.

  1. 1Alexander B@rygel20.4Btokens$3.3Kest. cost87active days$3.3K est. cost · 87 active days
  2. 2SeonjunK@SeonjunK15.9Btokens$4.9Kest. cost46active days$4.9K est. cost · 46 active days
  3. 3renkeju@renkeju7.5Btokens$2.1Kest. cost14active days$2.1K est. cost · 14 active days
  4. 4Steve Preu@unbraind7.4Btokens$2.4Kest. cost95active days$2.4K est. cost · 95 active days
  5. 5DevNewbie1826@DevNewbie18266Btokens$1.4Kest. cost66active days$1.4K est. cost · 66 active days
  6. 6Arthur Brownlee IV@nulluserid4.5Btokens$1.6Kest. cost79active days$1.6K est. cost · 79 active days
  7. 7hayden@haydenkwak3.8Btokens$1.3Kest. cost43active days$1.3K est. cost · 43 active days
  8. 8umit1970@umit19703.4Btokens$1Kest. cost26active days$1K est. cost · 26 active days
  9. 9iz@islee235203.1Btokens$1Kest. cost51active days$1K est. cost · 51 active days
  10. 10Dmitry Prikotov@prikotov2.7Btokens$1.1Kest. cost91active days$1.1K est. cost · 91 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-5.3 Flash16% adoption403active users
  3. GLM-5.315% adoption357active users
  4. GLM-4.714% adoption353active 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