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CostPerPrompt

GLM 5.3 API Pricing

Z.ai (GLM) · context window 1.3M · prices updated 2026-09-29

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 $2.20, which puts it cheaper than 37% and pricier than 63% of the models we track. It sits 15th cheapest of the 18 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
$1.84
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

Z.ai (GLM) last raised GLM 5.3's output price on Sep 27, 2026 (+269% per output token), from $0.3794/$1.19 to $1.40/$4.40 per 1M in/out. That is one of 9 repricings in the 39 days we have tracked it — worth knowing before you hard-code today's rate into a budget.

Date Input /1M Output /1M Output change
Aug 21, 2026 (tracking began) $1.40 $4.40 —
Sep 13, 2026 $1.09 $3.43 -22%
Sep 14, 2026 $1.40 $4.40 +28%
Sep 19, 2026 $0.91 $2.86 -35%
Sep 20, 2026 $0.896 $2.82 -2%
Sep 21, 2026 $0.91 $2.86 +2%
Sep 22, 2026 $0.84 $2.64 -8%
Sep 25, 2026 $1.40 $4.40 +67%
Sep 26, 2026 $0.3794 $1.19 -73%
Sep 27, 2026 $1.40 $4.40 +269%

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

GLM 5.3 vs Qwen3.8 27B

The closest-priced alternative from another vendor is Qwen3.8 27B (Alibaba (Qwen)) — priced within a rounding error on output, with $1.36 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 Qwen3.8 27B 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 1.3M context window?

Sending 1.3M of input in a single request costs $1.84 at $1.40 per million tokens — before any output. With prompt caching that same fill drops to about $0.3408 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 (15 of 18 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.