GLM-5.3

Z.aiKey glm-5.3Also reported as zai/glm-5.3, me/zhipu/glm-5.3, alibaba/glm-5.3, z-ai/glm-5.3, inferhub/glm-5.3, zai-org/glm-5.3, @cf/zai-org/glm-5.3, modelstudio/glm-5.3, ccs-zhipu/glm-5.3, z.ai coding plan/glm-5.3, zhipu/glm-5.3, GLM-5.3, openrouter/z-ai/glm-5.3, ollama-cloud/glm-5.3, zcode/glm-5.3, ai/glm-5.3, cline-pass/glm-5.3, opencode-go/glm-5.3, zhipu ai coding plan/glm-5.3, zai-coding/glm-5.3

Rank
#21
by active users
Active users
131
Down 50 from 181 active users in the previous 30 days. vs previous 30 days
Adoption
14%
of 956 accounts
Tokens
94.4B
cache included
Est. cost
$25.3K
at public list prices
First seen
Jul 16, 2026
in any submission

Oct 15 – Nov 13, 2026 (UTC)956 accounts100% of tokens from an identified modelData through Nov 13, 2026, 01:06 UTCHow we count

Daily active users

Distinct accounts that used this model on each UTC day.

3 active users on Nov 13, 2026

Daily active users for GLM-5.3, Oct 15, 2026 to Nov 13, 2026. Peak 46. Use the left and right arrow keys to read each day.50250
Show daily values
Daily active users and tokens for GLM-5.3
Date (UTC)Active usersTokens
Oct 15, 2026363.6B
Oct 16, 2026464.2B
Oct 17, 2026353.9B
Oct 18, 2026362.6B
Oct 19, 2026342.7B
Oct 20, 2026363.4B
Oct 21, 2026363.4B
Oct 22, 2026362.5B
Oct 23, 2026363B
Oct 24, 2026384.6B
Oct 25, 2026383.9B
Oct 26, 2026351.6B
Oct 27, 2026294B
Oct 28, 2026354B
Oct 29, 2026372.9B
Oct 30, 2026294.2B
Oct 31, 2026282.9B
Nov 1, 2026302.9B
Nov 2, 2026323.5B
Nov 3, 2026293.4B
Nov 4, 2026275B
Nov 5, 2026264.8B
Nov 6, 2026193.1B
Nov 7, 2026212.3B
Nov 8, 2026212B
Nov 9, 2026233.4B
Nov 10, 2026212.5B
Nov 11, 2026202.5B
Nov 12, 2026151.6B
Nov 13, 20263219.8M

Token mix

How the 94.4B tokens split. Cache reads are usually most of an agent's tokens and are priced far below input.

  • Input3.6%
  • Output0.4%
  • Cache read96%
  • Cache write<0.1%
  • Reasoning<0.1%

Agents that carry GLM-5.3

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

  1. Oh My Pi30% of this model's tokens17active users
  2. ZCode20% of this model's tokens41active users
  3. Senpi (OmO Native)19% of this model's tokens12active users
  4. Claude Code12% of this model's tokens19active users
  5. OpenCode8.4% of this model's tokens27active users
  6. Pi3.9% of this model's tokens17active users
  7. Hermes Agent3.1% of this model's tokens14active users
  8. DeepSeek Harness1.9% of this model's tokens8active users
  9. Aside0.5% of this model's tokens2active users
  10. Prime Agent0.4% of this model's tokens1active users
  11. OpenClaw0.3% of this model's tokens2active users
  12. Codex CLI0.1% of this model's tokens7active users
  13. WorkBuddy<0.1% of this model's tokens7active users
  14. Amp<0.1% of this model's tokens1active users
  15. Grok Build<0.1% of this model's tokens1active users
  16. cc-mirror/langchainjs-openai<0.1% of this model's tokens1active users
  17. CodeBuddy<0.1% of this model's tokens1active users
  18. cc-mirror/asyncopenai<0.1% of this model's tokens1active users
  19. Goose<0.1% of this model's tokens1active users
  20. Cherry Studio<0.1% of this model's tokens1active users
  21. 9Router<0.1% of this model's tokens1active users
  22. cc-mirror/curl<0.1% of this model's tokens1active users
  23. cc-mirror/python-urllib<0.1% of this model's tokens1active users
  24. cc-mirror/mozilla<0.1% of this model's tokens1active users

Benchmarks

The best result for GLM-5.3 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. Agent rows also show Tokscale usage through that agent, side by side with the score. Usage does not explain the score.

All benchmarks
  • Epoch Capabilities IndexOverall · Epoch AI
    157.1
    Rank #32 of 158 matched modelsNo conditions reportedModel released Aug 14, 2026Source: epoch.ai (opens in a new tab)
  • Terminal-Bench 4.1Agentic coding · Terminal-Bench
    41.2%
    Rank #9 of 23 matched modelsMax · Claude CodePublished Nov 3, 2026Source: tbench.ai (opens in a new tab)

    Tokscale usage: Claude Code carried 12% of GLM-5.3 tokens in the last 30 days (19 active users).

  • CursorBenchAgentic coding · Cursor, collected by Epoch AI
    42.6%
    Rank #12 of 21 matched modelsMaxModel released Aug 14, 2026Source: cursor.com (opens in a new tab)
    Show 2 more results with other run conditionsHide the other results
    • Listed as GLM 5.3 High
      38.0%
      HighModel released Aug 14, 2026Source: cursor.com (opens in a new tab)
    • Listed as GLM 5.3 Low
      33.3%
      LowModel released Aug 14, 2026Source: cursor.com (opens in a new tab)
  • DeepSWEAgentic coding · Datacurve, collected by Epoch AI
    69.0%
    Rank #7 of 26 matched modelsMax · mini-swe-agentModel released Aug 14, 2026Source: deepswe.datacurve.ai (opens in a new tab)
  • FrontierSWEAgentic coding · FrontierSWE, collected by Epoch AI
    30.2%
    Rank #12 of 23 matched modelsMax · proximusModel released Aug 14, 2026Source: frontierswe.com (opens in a new tab)
  • WebDev ArenaWeb development · LMArena
    1,621
    Rank #22 of 110 matched modelsMaxPublished Oct 19, 2026Source: huggingface.co (opens in a new tab)
  • Agent ArenaAgents · LMArena
    +0.01
    Rank #26 of 48 matched modelsMax · Arena Agent ModePublished Oct 19, 2026Source: huggingface.co (opens in a new tab)
  • GPQA DiamondReasoning · Epoch AI
    90.9%
    Rank #36 of 160 matched modelsMaxRun date Aug 24, 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
    68.8%
    Rank #33 of 90 matched modelsMaxRun date Aug 25, 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
    41.0%
    Rank #51 of 86 matched modelsMaxRun date Aug 28, 2026Source: epoch.ai (opens in a new tab)

Not evaluated: Humanity's Last Exam. 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
$0.32
Est. per 1M tokens
96% cache reads
At the community mix
$0.29
Est. per 1M tokens
96% cache reads
3:1 input/output blend
$2.15
Per 1M tokens at list prices
No cache

Cache reads were 96% of GLM-5.3 tokens in the last 30 days and 96% 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 in the last 30 days.
  • The community mix is the tokens of every identified model in the last 30 days.
  • 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-5.3
    $1.40 input per 1M tokens$4.40 output per 1M tokens$0.26 cache read per 1M tokens$0 cache write per 1M tokens1M tokens of context
  • Amazon Bedrockus.zai.glm-5.3
    $1.85 input per 1M tokens$5.81 output per 1M tokens$0.34 cache read per 1M tokens$2.31 cache write per 1M tokens1M tokens of context
  • OpenRouterz-ai/glm-5.3
    $0.07 input per 1M tokens$1.40 output per 1M tokens$0.07 cache read per 1M tokensCache write not listed1.05M tokens of context
  • Vercel AI Gatewayzai/glm-5.3
    $1.40 input per 1M tokens$4.40 output per 1M tokens$0.14 cache read per 1M tokensCache write not listed1M tokens of context
Show 4 more providersShow fewer providers
  • Together AIzai-org/GLM-5.3
    $1.40 input per 1M tokens$4.40 output per 1M tokens$0.26 cache read per 1M tokensCache write not listed1.05M tokens of context
  • Fireworks AIaccounts/fireworks/models/glm-5p3
    $1.40 input per 1M tokens$4.40 output per 1M tokens$0.26 cache read per 1M tokensCache write not listed1.05M tokens of context
  • Deep Infrazai-org/GLM-5.3
    $0.90 input per 1M tokens$4 output per 1M tokens$0.20 cache read per 1M tokensCache write not listed1.05M tokens of context
  • Basetenzai-org/GLM-5.3
    $1.40 input per 1M tokens$4.40 output per 1M tokens$0.14 cache read per 1M tokensCache write not listed1.05M 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
1M tokens
Max output
131K tokens
Input
Text
Output
Text
Knowledge cutoff
— not listed
Release date
Aug 14, 2026
Open weights
Yes
Reasoning
Yes
Tool calling
Yes

Top public profiles

Public profiles that used GLM-5.3 most in this period, by tokens. Hidden accounts are never listed.

  1. 1DevNewbie1826@DevNewbie182613.4Btokens$4Kest. cost29active days$4K est. cost · 29 active days
  2. 2Brad Lishman@bradlishman13.2Btokens$3.8Kest. cost27active days$3.8K est. cost · 27 active days
  3. 3GaoZimeng@GaoZimeng042511.6Btokens$3.5Kest. cost29active days$3.5K est. cost · 29 active days
  4. 4abilliontokens@abilliontokens6.5Btokens$1.9Kest. cost24active days$1.9K est. cost · 24 active days
  5. 5ParkMyeongCheol_박명철@pinion054.9Btokens$1.5Kest. cost28active days$1.5K est. cost · 28 active days
  6. 6Yun Jiang@jiangyun-fun4.5Btokens$1.4Kest. cost22active days$1.4K est. cost · 22 active days
  7. 7YiHong@hong-tm3.7Btokens$4est. cost23active days$4 est. cost · 23 active days
  8. 8iz@islee235203.6Btokens$477est. cost13active days$477 est. cost · 13 active days
  9. 9luke eldridge@lkeld3.6Btokens$563est. cost13active days$563 est. cost · 13 active days
  10. 10SeonjunK@SeonjunK3.6Btokens$1.1Kest. cost4active days$1.1K est. cost · 4 active days

More from Z.ai

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

  1. GLM-5.3 Flash18% adoption168active users
  2. GLM-5.3 Flash Free8.9% adoption85active users
  3. GLM-5 3 Flash1.5% adoption14active users
  4. GLM-5.21.4% adoption13active users
  5. GLM-5 30.7% adoption7active users
  6. GLM-5.3 Flashx0.7% adoption7active 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.
  • Terminal-BenchTerminal-Bench 4.1 official leaderboard rows (results only, no task content).Terms not stated · Retrieved Nov 12, 2026 · Data through Nov 11, 2026Terminal-Bench 4.1 leaderboard, tbench.ai. Every score links back to the leaderboard.
  • 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