Text generation / Z.AI

GLM-5.3

GLM-5.3 is a text generation model from Z.AI, available through the Impossibl API. Its published context window is 1,000,000 tokens. The advertised input rate is $1.40 per million input tokens. The advertised output rate is $4.40 per million output tokens.

api id: zai/glm-5.3

model as markdown ↗

how much does glm-5.3 cost?

published base api rates · usd per 1m tokens

input
$1.40
output
$4.40
cache read
$0.26

rates are published by the impossibl api. balance-purchase fees, taxes, tool charges, and workspace-specific pricing are separate.

specifications & capabilities

creator
Z.AI
model type
Text generation
context window
1m tokens
maximum output
not published in the catalog
input types
text
output types
text
tool calling
not verified in the catalog

unknown means the public catalog does not establish that fact. a model's documented capabilities can differ from what a particular api supports.

published endpoint

/v1/chat/completions

see the model documentation for integration details.

estimate your usage

estimate your api cost

estimate text token usage for your workload. all amounts are in usd.

token workload

total input, including cached tokens

include billable reasoning tokens

the same token usage in each request

a subset of total input, never additional tokens

GLM-5.3

$3.60

estimated usage cost

1,000 requests × (1,000 uncached input × $1.40 + 500 output × $4.40) / 1,000,000 = $3.60

base rates; no context pricing tiers are published.

estimates use published impossibl api usage rates. configured billing adjustments, funding fees, taxes, and custom workspace rates are excluded and may change the final amount.

image and audio usage, cache creation, and additional tool charges are excluded. reasoning tokens count as billable output, even when they are not visible in the response.

compare more Text generation models

independent benchmarks

Results from Artificial Analysis. Each configuration is listed separately. These evaluations describe the tested model configuration; performance and costs can differ on Impossibl. Last checked 2026-09-11.

GLM-5.3 (max)
BenchmarkScore
Intelligence Index44.86
Omniscience Index14.30
GPQA91.72%
Humanity’s Last Exam42.26%
SciCode59.03%
CritPt19.14%
Terminal-Bench v2.183.90%
Terminal-Bench v4.041.92%
AA-LCR79.67%
Multilingual LCR48.33%
GDPval Elo1667.27
GDP.pdf All-pass11.20%
AutomationBench Partial62.20%
Tau Banking50.31%
coding index (API)74.8
agentic index (API)53.4
intelligence index (API)44.9

Unmeasured scores are omitted. API values retain their source units.

view source ↗

all source data and breakdowns (JSON) ↗

frequently asked questions

What is GLM-5.3?

GLM-5.3 is a text-generation model from Z.AI, available through the Impossibl API.

How much does GLM-5.3 cost?

GLM-5.3 costs $1.40 per million input tokens and $4.40 per million output tokens through the Impossibl API. Cache reads cost $0.26 per million tokens. All rates are in USD.

view the pricing table ↑

What is the context length of GLM-5.3?

GLM-5.3 has a 1,000,000-token context window through the Impossibl API.

What inputs and outputs does GLM-5.3 support?

GLM-5.3 accepts text as input. GLM-5.3 returns text.

How do I use GLM-5.3 through an API?

GLM-5.3 is available through the Impossibl API. Use zai/glm-5.3 as the model identifier with /v1/chat/completions. The quickstart explains how to create an API key and send your first request.

follow the api quickstart →

When was GLM-5.3 released?

Z.AI released GLM-5.3 on August 14, 2026.

sources & coverage

this page describes GLM-5.3 as listed by the impossibl public api. prices and availability come from that catalog, refreshed here every five minutes. this is an impossibl offering, not a comparison of independent hosting-provider quotes.

view the source catalog ↗

model descriptions and release dates, where available, use the creator sources linked in the faq. api prices and limits use the impossibl catalog. benchmark results, where available, are credited to Artificial Analysis in the benchmarks section. report a correction →