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CostPerPrompt

GLM 5.3 API Pricing

Z.ai (GLM) · context window 1M · prices updated 2026-08-23

Input per 1M tokens
$1.40
Output per 1M tokens
$4.40
Cached input per 1M
$0.26
81% cheaper than fresh input

Where GLM 5.3 sits on price

At $4.40 per million output tokens, GLM 5.3 is a mid tier model — 2.0× the median output price of $2.25, which puts it cheaper than 37% and pricier than 63% of the models we track. It sits 13th cheapest of the 14 Z.ai (GLM) models we track. Output costs 3.1× input, the usual spread — trim both, starting with the answer length.

Output tokens per $1
227,273
One full context fill
$1.47
Cheaper than
37% of tracked models

Cached input is 81% cheaper. On an input-heavy workload you need roughly a 31% cache-hit rate to take 25% off the input line — reachable for chatbots and agents that resend the same system prompt and history.

What real workloads cost on GLM 5.3

These three workloads are the ones teams actually run on a mid-priced model — a $4.40/1M model is not bought for the same job as one ten times the price.

Workload Per request Per month
Support chatbot — 500 conversations/day (5K in / 1.4K out) Conversation history re-sent each turn — the classic prompt-caching win. $0.0132 $197
Document pipeline — 10K docs/day (3K in / 500 out) Batch-friendly: no user waiting, so a ~50% batch discount usually applies. $0.0064 $1920
Long-context analysis — 200 runs/day (250K in / 4K out) Only possible on large-context models; input cost is nearly the whole bill. $0.3676 $2206

Model your exact traffic in the API cost calculator — it preloads GLM 5.3 with caching and batch options.

GLM 5.3 price history

GLM 5.3's price has not moved since we began tracking it on Aug 21, 2026 — 2 days of stability in a market where 55 of the 302 models we track have repriced over the same period, including 5 of Z.ai (GLM)'s own 14 models.

Change-points from our daily price snapshots (tracking since Aug 21, 2026; intraday moves between snapshots are not captured).

GLM 5.3 vs o4 Mini High

The closest-priced alternative from another vendor is o4 Mini High (OpenAI) — priced within a rounding error on output, with $0.3 less per million input tokens. When two models land this close on price, the decision is quality on your own workload, not the price sheet: run 50 real requests through both and compare.

See o4 Mini High pricing →

Cheaper alternatives

More Z.ai (GLM) models

Frequently asked questions

How much does the GLM 5.3 API cost?

GLM 5.3 costs $1.40 per million input tokens and $4.40 per million output tokens, with cached input at $0.26 per million (81% cheaper). That works out to roughly 227,273 output tokens per dollar.

What does the support chatbot workload cost on GLM 5.3?

Support chatbot — 500 conversations/day (5K in / 1.4K out) costs about $0.0132 per request and $197 per month on GLM 5.3. Conversation history re-sent each turn — the classic prompt-caching win.

What does it cost to fill GLM 5.3's 1M context window?

Sending 1M of input in a single request costs $1.47 at $1.40 per million tokens — before any output. With prompt caching that same fill drops to about $0.2726 on repeat requests. This is why large context windows are cheap to advertise and expensive to actually use.

Is GLM 5.3 worth the price?

GLM 5.3 sits in the middle of the market (13 of 14 by price within Z.ai (GLM)). The honest test is a routing experiment: send the same 200 real requests to this model and to a tier below, and compare failure rate against the price gap — most teams find a majority of traffic never needed the pricier model.