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Z.ai: GLM 5.3 Prime API Pricing

Z.ai: GLM 5.3 Prime costs $2.80 per 1M input tokens and $8.80 per 1M output tokens (cache reads: $0.560). Context window: 1M. Prices verified 2026-10-21 · source

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Alternatives to consider

🏠 Same provider
Z.ai: GLM 5.3 Flash (batch)
$0.050 in / $0.180 out
Quality score: 41.8

Cheapest z-ai model — 98% less per month

Price history
2026-09-24 → 2026-10-21 · 59 daily snapshots
inputoutput

Rebuilt daily from our snapshot archive — the chart appears once a model has 5+ snapshots of history.

Pricing behavior
Stable — no price moves across our 59 daily snapshots (2026-08-23 → 2026-10-21).

From our own daily snapshot archive — independent of provider announcements.

Input / 1M tokens
$2.80
Output / 1M tokens
$8.80
Context window
1M
Max output
131K

Token economics

Token typePricevs base input
Standard input$2.80—
Cache read$0.560−80%
Output$8.80—

Prompt caching stores repeated context server-side: reads cost far less, but writes carry a one-time premium.

Reasoning behavior
Mode: Always on (mandatory)
Effort levels:maxhighlow

Higher effort = deeper thinking = more reasoning tokens billed as output.

What would Z.ai: GLM 5.3 Prime cost you per month?

WorkloadRequests/moAvg tokens (in/out)Est. monthly cost
Light chatbot10,000800 / 400$57.60
Coding agent5,0008,000 / 2,000$200.00
RAG pipeline30,0004,000 / 500$468.00
Doc summarizer2,00020,000 / 1,000$129.60

Estimates use list prices without prompt caching. Caching can cut input cost by up to 90% on repeated context.

About Z.ai: GLM 5.3 Prime

GLM-5.3-Prime is the high-speed variant of Z.ai's GLM-5.3, inheriting its full capabilities while delivering 1.5–2× the output throughput through inference acceleration. It supports text input and output with a 1M-token...

Compare Z.ai: GLM 5.3 Prime with

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Frequently asked questions

How much does Z.ai: GLM 5.3 Prime cost?

Z.ai: GLM 5.3 Prime costs $2.80 per 1M input tokens and $8.80 per 1M output tokens; cached input tokens cost $0.560 per 1M. Verified 2026-10-21 — provider source.

What is the context window?

1M tokens, with up to 131K output tokens per response. That's roughly 1250 pages of text in a single request.

Does it support prompt caching?

Yes — cached input is $0.560/1M, about 80% cheaper than standard input. Agents and RAG workloads with repeated context benefit most.

What's a cheaper alternative?

ScaleDown: Summarize saves about 99% on a typical workload with comparable quality.

Official resources