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zhipu-ai API Pricing

Currency: USD · Region: International (Z.ai) · Billing: pay_as_you_go

zhipu-ai pricing
Image: AI-generated illustration (Seedream)

Short answer. Zhipu prices three tiers of the same family with a 9x spread: GLM-5.3 at $1.40/$4.40, GLM-5.3-Flash at $0.15/$0.50, and GLM-5.3-FlashX at $0.37/$1.25. The older GLM-5.2 sits at exactly the flagship price, which tells you something about how the company wants you to choose.

The ladder

ModelInputOutputOut/inCachePosition
GLM-5.3$1.40$4.403.14$0.26 (18.6%)Flagship
GLM-5.2$1.40$4.403.14$0.26Previous flagship
GLM-5.3-FlashX$0.37$1.253.38$0.075Speed tier
GLM-5.3-Flash$0.15$0.503.33$0.03 (20%)Volume tier

The output/input ratios are unusually consistent — 3.1 to 3.4 across all four — which means the tiers differ in absolute price, not in shape. Choosing between them does not change how your workload’s cost scales; it changes the multiplier.

FlashX is a latency purchase

At $0.37 input against Flash’s $0.15, FlashX costs 2.47x for a faster serving tier of the same underlying generation. That is a reasonable premium if you are serving an interactive product where time-to-first-token is visible to users, and a bad one for batch work, where it buys nothing.

The China platform prices tell the same story in CNY: ¥2 / ¥7 against ¥0.8 / ¥2.8 — the same 2.5x relationship, regionally consistent.

The GLM-5.2 problem

GLM-5.2 is priced identically to GLM-5.3. There is no discount for the older model, no sunset price, no incentive to move traffic onto the previous generation. A buyer comparing the two should treat 5.2 as a fallback for compatibility, not as a cheaper option — because it is not one.

Our view

Zhipu’s tiering is the cleanest in the Chinese market to reason about. Four models, one shape, a 9x span from Flash to flagship. You can pick a tier on cost and know exactly what multiple you are accepting.

Flash is the default and the flagship is the exception. At $0.15/$0.50 with a 20% cache rate, Flash covers most workloads; the 9x step to GLM-5.3 should be justified by a measured task failure, not by a benchmark gap.

Paying for FlashX instead of the flagship is often the better upgrade. If the problem is latency rather than capability, 2.47x buys speed; 9.3x buys parameters you may not need.

A same-price older model is a signal about inventory. Zhipu is not trying to clear GLM-5.2 capacity; it is keeping it available and priced at parity. Do not assume a legacy discount that does not exist.

Last verified: · Review cadence: 90 days · Next review:

Current prices

Current zhipu-ai API prices
Model Input $/1M Output $/1M Cached input $/1M Cached output $/1M Batch $/1M Effective Note Source
glm-5.3 1.4 4.4 0.26 — — —
  • Cache storage: limited-time free
  • China platform (BigModel): ¥8 / ¥28, cache hit ¥2
  • Batch API: 50% of standard price
link
glm-5.3-flash 0.15 0.5 0.03 — — —
  • China platform: ¥0.8 / ¥2.8, cache ¥0.23
link
glm-5.3-flashx 0.37 1.25 0.075 — — —
  • China platform: ¥2 / ¥7, cache ¥0.57
  • Not yet on the GLM Coding Plan
link
glm-5.2 1.4 4.4 0.26 — — —
  • China platform: ¥8 / ¥28, cache ¥2
link

No officially documented price-change events located as of 2026-09-22. Historical pricing is only recorded when an official page (pricing page, change log or announcement) documents the change.

Price history

Price history for zhipu-ai
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Provider

Sources

Prices change frequently. Verify against the official pricing page before making decisions.

What does the zhipu-ai API cost?

Input prices start at $0.15 per 1M tokens across 4 listed models (USD). See the table above for output and cached prices.

Does zhipu-ai offer cached pricing?

Yes — cached input/output prices are listed for some models in the table above.

When was zhipu-ai pricing last verified?

Last verified 2026-11-05 against 2 official sources. Prices change frequently — check the official pricing page before deciding.