GLM-5.3 Flash

Z.aiKey glm-5.3-flashAlso reported as z-ai/glm-5.3-flash, combo/glm-5.3-flash, zai/glm-5.3-flash, cutad/glm-5.3-flash, zhipu/glm-5.3-flash, openrouter/z-ai/glm-5.3-flash, zai-org/glm-5.3-flash, b.ai/glm-5.3-flash, ollama-cloud/glm-5.3-flash, cutad/cbcn/glm-5.3-flash, glm/glm-5.3-flash, @cf/zai-org/glm-5.3-flash, cbcn/glm-5.3-flash, workbuddy/glm-5.3-flash, sk/glm-5.3-flash, bai/glm-5.3-flash, opencode-go/glm-5.3-flash, sumo/glm-5.3-flash, inco/glm-5.3-flash, zcode/glm-5.3-flash

Rank
#15
by active users
Active users
168
Down 86 from 254 active users in the previous 30 days. vs previous 30 days
Adoption
18%
of 956 accounts
Tokens
117.6B
cache included
Est. cost
$3.5K
at public list prices
First seen
Jun 11, 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.

4 active users on Nov 13, 2026

Daily active users for GLM-5.3 Flash, Oct 15, 2026 to Nov 13, 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-5.3 Flash
Date (UTC)Active usersTokens
Oct 15, 2026439.2B
Oct 16, 2026527.9B
Oct 17, 2026447.9B
Oct 18, 2026419.3B
Oct 19, 2026554.8B
Oct 20, 2026453.9B
Oct 21, 2026374.1B
Oct 22, 2026475.4B
Oct 23, 2026465.6B
Oct 24, 2026425.8B
Oct 25, 2026454.5B
Oct 26, 2026433B
Oct 27, 2026432.9B
Oct 28, 2026504.6B
Oct 29, 2026381.8B
Oct 30, 2026311.7B
Oct 31, 2026293.8B
Nov 1, 2026282.6B
Nov 2, 2026294.1B
Nov 3, 2026303.9B
Nov 4, 2026323.4B
Nov 5, 2026312.4B
Nov 6, 2026262.7B
Nov 7, 2026243.1B
Nov 8, 2026262.5B
Nov 9, 2026262.4B
Nov 10, 2026222B
Nov 11, 2026201.4B
Nov 12, 202618771.8M
Nov 13, 20264113.9M

Token mix

How the 117.6B tokens split. Cache reads are usually most of an agent's tokens and are priced far below input.

  • Input3.0%
  • Output0.3%
  • Cache read97%
  • Cache write<0.1%
  • Reasoning<0.1%

Agents that carry GLM-5.3 Flash

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

  1. Hermes Agent43% of this model's tokens17active users
  2. ZCode19% of this model's tokens41active users
  3. Oh My Pi18% of this model's tokens24active users
  4. Pi6.9% of this model's tokens27active users
  5. OpenCode5.2% of this model's tokens53active users
  6. Claude Code3.6% of this model's tokens20active users
  7. Senpi (OmO Native)1.3% of this model's tokens8active users
  8. Prime Agent1.2% of this model's tokens2active users
  9. Cursor0.7% of this model's tokens1active users
  10. DeepSeek Harness0.5% of this model's tokens10active users
  11. WorkBuddy0.4% of this model's tokens15active users
  12. Gajae Code0.2% of this model's tokens2active users
  13. Codex CLI0.1% of this model's tokens8active users
  14. CodeBuddy<0.1% of this model's tokens3active users
  15. Amp<0.1% of this model's tokens2active users
  16. 9Router<0.1% of this model's tokens1active users
  17. OpenClaw<0.1% of this model's tokens3active users
  18. Goose<0.1% of this model's tokens1active users
  19. Command Code<0.1% of this model's tokens2active users
  20. Reasonix<0.1% of this model's tokens2active users
  21. Synthetic<0.1% of this model's tokens1active users
  22. Crush<0.1% of this model's tokens1active users
  23. Cherry Studio<0.1% of this model's tokens1active users
  24. Copilot<0.1% of this model's tokens1active users
  25. cc-mirror/python-urllib<0.1% of this model's tokens1active users
  26. cc-mirror/curl<0.1% of this model's tokens1active users
  27. cc-mirror/mozilla<0.1% of this model's tokens1active users

Benchmarks

The best result for GLM-5.3 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. 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
    153.8
    Rank #52 of 158 matched modelsNo conditions reportedModel released Aug 20, 2026Source: epoch.ai (opens in a new tab)
  • Terminal-Bench 4.1Agentic coding · Terminal-Bench
    35.4%
    Rank #12 of 23 matched modelsNo reasoning · Claude CodePublished Nov 3, 2026Source: tbench.ai (opens in a new tab)

    Tokscale usage: Claude Code carried 3.6% of GLM-5.3 Flash tokens in the last 30 days (20 active users).

  • CursorBenchAgentic coding · Cursor, collected by Epoch AI
    36.8%
    Rank #18 of 21 matched modelsMaxModel released Aug 20, 2026Source: cursor.com (opens in a new tab)
    Show 2 more results with other run conditionsHide the other results
    • Listed as GLM 5.3 Flash High
      31.1%
      HighModel released Aug 20, 2026Source: cursor.com (opens in a new tab)
    • Listed as GLM 5.3 Flash Low
      26.9%
      LowModel released Aug 20, 2026Source: cursor.com (opens in a new tab)
  • DeepSWEAgentic coding · Datacurve, collected by Epoch AI
    63.4%
    Rank #13 of 26 matched modelsMax · mini-swe-agentModel released Aug 20, 2026Source: deepswe.datacurve.ai (opens in a new tab)
  • FrontierSWEAgentic coding · FrontierSWE, collected by Epoch AI
    18.1%
    Rank #19 of 23 matched modelsMax · proximusModel released Aug 20, 2026Source: frontierswe.com (opens in a new tab)
  • WebDev ArenaWeb development · LMArena
    1,607
    Rank #25 of 110 matched modelsNo conditions reportedPublished Oct 19, 2026Source: huggingface.co (opens in a new tab)
  • Agent ArenaAgents · LMArena
    −0.02
    Rank #32 of 48 matched modelsArena Agent ModePublished Oct 19, 2026Source: huggingface.co (opens in a new tab)
  • GPQA DiamondReasoning · Epoch AI
    90.2%
    Rank #46 of 160 matched modelsMaxRun date Aug 26, 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
    55.8%
    Rank #50 of 90 matched modelsMaxRun date Aug 27, 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.

Not evaluated: Humanity's Last Exam, SimpleQA Verified. 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
$0.03
Est. per 1M tokens
97% cache reads
At the community mix
$0.03
Est. per 1M tokens
96% cache reads
3:1 input/output blend
$0.24
Per 1M tokens at list prices
No cache

Cache reads were 97% of GLM-5.3 Flash 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 $0.15, output $0.50, cache read $0.03, 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-flash
    $0.15 input per 1M tokens$0.50 output per 1M tokens$0.03 cache read per 1M tokens$0 cache write per 1M tokens1M tokens of context
  • OpenRouterz-ai/glm-5.3-flash
    $0.04 input per 1M tokens$0.08 output per 1M tokens$0.03 cache read per 1M tokensCache write not listed1.05M tokens of context
  • Vercel AI Gatewayzai/glm-5.3-flash
    $0.15 input per 1M tokens$0.50 output per 1M tokens$0.03 cache read per 1M tokensCache write not listed1M tokens of context
  • Together AIzai-org/GLM-5.3-Flash
    $0.15 input per 1M tokens$0.50 output per 1M tokens$0.03 cache read per 1M tokensCache write not listed1.05M tokens of context
Show 3 more providersShow fewer providers
  • Fireworks AIaccounts/fireworks/models/glm-5p3-flash
    $0.15 input per 1M tokens$0.50 output per 1M tokens$0.03 cache read per 1M tokensCache write not listed1.05M tokens of context
  • Deep Infrazai-org/GLM-5.3-Flash
    $0.15 input per 1M tokens$0.50 output per 1M tokens$0.03 cache read per 1M tokensCache write not listed1.05M tokens of context
  • Basetenzai-org/GLM-5.3-Flash
    $0.15 input per 1M tokens$0.50 output per 1M tokens$0.03 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, Image, Video, PDF
Output
Text
Knowledge cutoff
— not listed
Release date
Aug 26, 2026
Open weights
Yes
Reasoning
Yes
Tool calling
Yes

Top public profiles

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

  1. 1Benjamin Hodgens@bhodgens45.3Btokens$1.4Kest. cost28active days$1.4K est. cost · 28 active days
  2. 2Brad Lishman@bradlishman16.1Btokens$544est. cost27active days$544 est. cost · 27 active days
  3. 3siddicky@siddicky5.7Btokens$11est. cost28active days$11 est. cost · 28 active days
  4. 4CasbaL@CasbaL3.1Btokens—est. cost13active daysno price · 13 active days
  5. 5ParkMyeongCheol_박명철@pinion053.1Btokens$116est. cost26active days$116 est. cost · 26 active days
  6. 6Nehr@AgileInnov8tor2.9Btokens$131est. cost22active days$131 est. cost · 22 active days
  7. 7LinYU@rinchao07212.8Btokens<$1est. cost10active days<$1 est. cost · 10 active days
  8. 8Zen Huifer@huifer2.7Btokens$94est. cost17active days$94 est. cost · 17 active days
  9. 9xarleyn@xarleyn2.7Btokens$9est. cost14active days$9 est. cost · 14 active days
  10. 10Gordon Lee@g0rdonL2.3Btokens$106est. cost28active days$106 est. cost · 28 active days

More from Z.ai

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

  1. GLM-5.314% adoption131active 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