| Channel | Billing | Input | Output | Cache hit | Cache write |
|---|---|---|---|---|---|
| hvoy | Token | ¥4.38 | ¥13.14 | ¥0.876 | - |
Zhipu AI
GLM 5.2
Flagship model for long-horizon tasks
GLM-5.2 targets project-scale engineering workflows, with a truly usable 1M context window, stable long-horizon execution, and reliable adherence to engineering conventions. Best for coding, agents, and long-running development tasks.
Context window1M
Released2026-06
Relays60 sites
1M context windowAgents and tool useStructured outputCoding and long workflows
Zhipu AI Official Pricing
CNYUpdated: 2026-06-17T10:42:15.998+08:00Source
Input
¥8/ 1M tokens
Output
¥10/ 1M tokens
Cache read
¥2/ 1M tokens
Relay Comparison
Compare token, per-request, or per-second pricing by relay channel.
Unit: token prices are ¥ / 1M tokens; per-request and per-second rows use their shown unit
Price range ¥2.9 / 1M tokens
| Channel | Billing | Input | Output | Cache hit | Cache write |
|---|---|---|---|---|---|
| 国模分组-openai协议 | Token | ¥2.9 | ¥9.2 | ¥0.6 | - |
Price range ¥4.8 / 1M tokens
| Channel | Billing | Input | Output | Cache hit | Cache write |
|---|---|---|---|---|---|
| 国产官方模型 | Token | ¥4.8 | ¥16.8 | ¥1.2 | - |
Price range ¥4 - ¥5.6 / 1M tokens
GLM智谱开源
BillingToken
Input¥4
Output¥14
Cache hit¥1
Cache write-
GLM智谱官转
BillingToken
Input¥5.6
Output¥19.6
Cache hit¥1.4
Cache write-
| Channel | Billing | Input | Output | Cache hit | Cache write |
|---|---|---|---|---|---|
| GLM智谱开源 | Token | ¥4 | ¥14 | ¥1 | - |
| GLM智谱官转 | Token | ¥5.6 | ¥19.6 | ¥1.4 | - |
Price range ¥4.8 / 1M tokens
| Channel | Billing | Input | Output | Cache hit | Cache write |
|---|---|---|---|---|---|
| GLM-余额 | Token | ¥4.8 | ¥16.8 | ¥1.2 | ¥0 |
Price range ¥4 - ¥6.4 / 1M tokens
glm-sale
BillingToken
Input¥4
Output¥14
Cache hit¥1
Cache write-
default
BillingToken
Input¥6.4
Output¥22.4
Cache hit¥1.6
Cache write-
| Channel | Billing | Input | Output | Cache hit | Cache write |
|---|---|---|---|---|---|
| glm-sale | Token | ¥4 | ¥14 | ¥1 | - |
| default | Token | ¥6.4 | ¥22.4 | ¥1.6 | - |
Price range ¥4.64 / 1M tokens
| Channel | Billing | Input | Output | Cache hit | Cache write |
|---|---|---|---|---|---|
| 智谱 国模折扣 | Token | ¥4.64 | ¥16.2 | ¥1.16 | - |
Price range ¥4.8 / 1M tokens
| Channel | Billing | Input | Output | Cache hit | Cache write |
|---|---|---|---|---|---|
| GLM | Token | ¥4.8 | ¥16.8 | ¥1.2 | - |
Price range ¥2.4 / 1M tokens
| Channel | Billing | Input | Output | Cache hit | Cache write |
|---|---|---|---|---|---|
| 国产模型-openai协议 | Token | ¥2.4 | ¥7.7 | ¥0.5 | - |
Price range ¥0.36 - ¥1.2 / 1M tokens
zhipu优选特价
BillingToken
Input¥0.36
Output¥1.26
Cache hit¥0.09
Cache write-
限时特价分组
BillingToken
Input¥0.672
Output¥2.35
Cache hit¥0.168
Cache write-
default
BillingToken
Input¥1.2
Output¥4.2
Cache hit¥0.3
Cache write-
| Channel | Billing | Input | Output | Cache hit | Cache write |
|---|---|---|---|---|---|
| zhipu优选特价 | Token | ¥0.36 | ¥1.26 | ¥0.09 | - |
| 限时特价分组 | Token | ¥0.672 | ¥2.35 | ¥0.168 | - |
| default | Token | ¥1.2 | ¥4.2 | ¥0.3 | - |
How should GLM 5.2 relay pricing be compared?
This GLM 5.2 pricing page compares official pricing with public prices from 60 listed AI gateways. Token prices are shown in CNY per 1M tokens, while per-request, per-second, and per-character rows use the unit shown in the table. Last updated: 09/21/2026, 10:14.
- Data sources
- Public price catalogs, official pricing records, and monitoring results.
- Metric definitions
- Uptime means successful probe response rate, fake-rate signals possible model mismatch or abnormal output risk, and latency is average API response time.
- Risk note
- Relay gateways are third-party services. Pricing, billing, privacy, and stability can change; start with a small top-up and verify reliability before continued use.