Pricing / zhipu-ai
zhipu-ai API Pricing
Currency: USD · Region: International (Z.ai) · Billing: pay_as_you_go
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
| Model | Input | Output | Out/in | Cache | Position |
|---|---|---|---|---|---|
| GLM-5.3 | $1.40 | $4.40 | 3.14 | $0.26 (18.6%) | Flagship |
| GLM-5.2 | $1.40 | $4.40 | 3.14 | $0.26 | Previous flagship |
| GLM-5.3-FlashX | $0.37 | $1.25 | 3.38 | $0.075 | Speed tier |
| GLM-5.3-Flash | $0.15 | $0.50 | 3.33 | $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.
Current 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 | — | — | — |
| link |
| glm-5.3-flash | 0.15 | 0.5 | 0.03 | — | — | — |
| link |
| glm-5.3-flashx | 0.37 | 1.25 | 0.075 | — | — | — |
| link |
| glm-5.2 | 1.4 | 4.4 | 0.26 | — | — | — |
| 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
| Model | Field | Old | New | Effective | Source |
|---|
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.