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
#265
by active users
Active users
3
Up 1 from 2 active users in the previous 30 days. vs previous 30 days
Adoption
0.3%
of 958 accounts
Tokens
12M
cache included
Est. cost
$3
at public list prices
First seen
Sep 30, 2025
in any submission

Oct 15 – Nov 13, 2026 (UTC)958 accounts100% of tokens from an identified modelData through Nov 13, 2026, 04:05 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 15, 2026 to Nov 13, 2026. Peak 2. Use the left and right arrow keys to read each day.210
Show daily values
Daily active users and tokens for GLM-4.6
Date (UTC)Active usersTokens
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 12M tokens split. Cache reads are usually most of an agent's tokens and are priced far below input.

  • Input24%
  • Output0.4%
  • Cache read75%
  • Cache write0%
  • Reasoning0.6%

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. OpenCode100% of this model's tokens1active users
  2. 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
$0.25
Est. per 1M tokens
75% cache reads
At the community mix
$0.13
Est. per 1M tokens
96% cache reads
3:1 input/output blend
$1
Per 1M tokens at list prices
No cache

Cache reads were 75% of GLM-4.6 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 $0.60, output $2.20, cache read $0.11, 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-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. 1John Shelburne@thecatfix12Mtokens$3est. cost24active days$3 est. cost · 24 active days
  2. 2Hanlin Zhao@Starrylyn68tokens<$1est. cost4active days<$1 est. cost · 4 active days
  3. 3xarleyn@xarleyn2tokens—est. cost1active daysno price · 1 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-5.314% adoption131active users
  3. GLM-5.3 Flash Free8.9% adoption85active users
  4. GLM-5 3 Flash1.5% adoption14active users
  5. GLM-5.21.4% adoption13active users
  6. GLM-5 30.7% 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.

  • 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