API PRICES
Z.ai · GLM-4.7
Provider prices, cheapest first
All official and inference price observations
Z.ai · GLM-4.7 official price: not yet recorded. Cheapest inference provider: OpenRouter, input 0.54, output 1.98 USD per million tokens. Cheapest relay: cn.happyapi.org, group "default" 2.8 USD_CREDIT per million total tokens (credit price, not cash, observed 2026-10-23). 44 sites have comparable prices; 92 sites list this model.Relay blended price uses 75% input and 25% output.
Price ranges per million tokens
Inference provider cash prices · Lowest 0.9 · median 0.95 · highest 1 · 2 quotes USD / per million tokens
Relay USD credit prices · Lowest 2.8 · median 2.8 · highest 2.8 · 2 quotes USD / per million tokens, site credit
Official prices are the vendor's cash prices. Inference providers also list cash prices and can be compared directly. Relays list prices in site credit; what you actually pay depends on each site's top-up rate, so they cannot be compared with official prices directly.
Inference providers
| Provider | Tariff | Input | Output | Cache read | Cache write | Unit | Observed | Conditions and source |
|---|---|---|---|---|---|---|---|---|
| OpenRouter · Aggregator | Standard | 0.54 | 1.98 | 0.099 | — | USD / 1M tokens | Full price conditions{
"sourceUnit": "USD_PER_TOKEN",
"sourceAmounts": {
"cacheRead": "0.000000099",
"input": "0.00000054",
"output": "0.00000198"
},
"conditions": [],
"contextTier": null,
"processingMode": null,
"conditionNotes": [],
"effectiveFrom": null,
"effectiveUntil": null
}Official source | |
| Novita AI | Standard | 0.6 | 2.2 | 0.11 | — | USD / 1M tokens | Full price conditions{
"sourceUnit": null,
"sourceAmounts": null,
"conditions": [],
"contextTier": null,
"processingMode": null,
"conditionNotes": [],
"effectiveFrom": null,
"effectiveUntil": null
}Official source |
Other tariffs and prices to review
Official price
| Provider | Tariff | Input | Output | Cache read | Cache write | Unit | Observed | Conditions and source |
|---|---|---|---|---|---|---|---|---|
| 智谱 | Standard | 2 | 8 | 0.4 | — | CNY / 1M tokens | Context tier: ZHIPU_TIER:输入[0,32K)，输出[0,0.2K) · historical-price section retained by official page; current model availability not established · section: 模型推理 / 文本模型Full price conditions{
"sourceUnit": null,
"sourceAmounts": null,
"conditions": [
"historical-price section retained by official page; current model availability not established"
],
"contextTier": "ZHIPU_TIER:输入[0,32K)，输出[0,0.2K)",
"processingMode": null,
"conditionNotes": [
"section: 模型推理 / 文本模型"
],
"effectiveFrom": null,
"effectiveUntil": null
}Official source | |
| 智谱 | Standard | 3 | 14 | 0.6 | — | CNY / 1M tokens | Context tier: ZHIPU_TIER:输入[0,32K)，输出≥0.2K · historical-price section retained by official page; current model availability not established · section: 模型推理 / 文本模型Full price conditions{
"sourceUnit": null,
"sourceAmounts": null,
"conditions": [
"historical-price section retained by official page; current model availability not established"
],
"contextTier": "ZHIPU_TIER:输入[0,32K)，输出≥0.2K",
"processingMode": null,
"conditionNotes": [
"section: 模型推理 / 文本模型"
],
"effectiveFrom": null,
"effectiveUntil": null
}Official source | |
| 智谱 | Standard | 4 | 16 | 0.8 | — | CNY / 1M tokens | Context tier: ZHIPU_TIER:输入[32K,200K) · historical-price section retained by official page; current model availability not established · section: 模型推理 / 文本模型Full price conditions{
"sourceUnit": null,
"sourceAmounts": null,
"conditions": [
"historical-price section retained by official page; current model availability not established"
],
"contextTier": "ZHIPU_TIER:输入[32K,200K)",
"processingMode": null,
"conditionNotes": [
"section: 模型推理 / 文本模型"
],
"effectiveFrom": null,
"effectiveUntil": null
}Official source |
Older official and inference provider prices
Earlier price observations and their original conditions
Official price
| Provider | Tariff | Input | Output | Cache read | Cache write | Unit | Observed | Conditions and source |
|---|---|---|---|---|---|---|---|---|
| 智谱 | Standard | 2 | 8 | 0.4 | — | CNY / 1M tokens | Context tier: ZHIPU_TIER:输入[0,32K)，输出[0,0.2K) · section: 模型推理 / 文本模型Full price conditions{
"sourceUnit": null,
"sourceAmounts": null,
"conditions": [],
"contextTier": "ZHIPU_TIER:输入[0,32K)，输出[0,0.2K)",
"processingMode": null,
"conditionNotes": [
"section: 模型推理 / 文本模型"
],
"effectiveFrom": null,
"effectiveUntil": null
}Official source | |
| 智谱 | Standard | 3 | 14 | 0.6 | — | CNY / 1M tokens | Context tier: ZHIPU_TIER:输入[0,32K)，输出≥0.2K · section: 模型推理 / 文本模型Full price conditions{
"sourceUnit": null,
"sourceAmounts": null,
"conditions": [],
"contextTier": "ZHIPU_TIER:输入[0,32K)，输出≥0.2K",
"processingMode": null,
"conditionNotes": [
"section: 模型推理 / 文本模型"
],
"effectiveFrom": null,
"effectiveUntil": null
}Official source | |
| 智谱 | Standard | 4 | 16 | 0.8 | — | CNY / 1M tokens | Context tier: ZHIPU_TIER:输入[32K,200K) · section: 模型推理 / 文本模型Full price conditions{
"sourceUnit": null,
"sourceAmounts": null,
"conditions": [],
"contextTier": "ZHIPU_TIER:输入[32K,200K)",
"processingMode": null,
"conditionNotes": [
"section: 模型推理 / 文本模型"
],
"effectiveFrom": null,
"effectiveUntil": null
}Official source |
Inference providers
| Provider | Tariff | Input | Output | Cache read | Cache write | Unit | Observed | Conditions and source |
|---|---|---|---|---|---|---|---|---|
| OpenRouter · Aggregator | Standard | 0.54 | 1.98 | 0.099 | — | USD / 1M tokens | Full price conditions{
"sourceUnit": "USD_PER_TOKEN",
"sourceAmounts": {
"cacheRead": "0.000000099",
"input": "0.00000054",
"output": "0.00000198"
},
"conditions": [],
"contextTier": null,
"processingMode": null,
"conditionNotes": [],
"effectiveFrom": null,
"effectiveUntil": null
}Official source | |
| Novita AI | Standard | 0.6 | 2.2 | 0.11 | — | USD / 1M tokens | Full price conditions{
"sourceUnit": null,
"sourceAmounts": null,
"conditions": [],
"contextTier": null,
"processingMode": null,
"conditionNotes": [],
"effectiveFrom": null,
"effectiveUntil": null
}Official source |
Unit: USD credits per 1M tokens. These are site-credit prices; actual cost depends on each site’s top-up rate.
Price range: lowest 2.8 · median 2.8 · highest 2.8 (2 quotes, USD credits per million total tokens)
Relays
Prices below are in site credit, not cash.
| # | Provider | Plan / conditions | Input ↑USD credits / 1M | Output USD credits / 1M | Cache readUSD credits / 1M | BlendedUSD credits / 1M | Details |
|---|---|---|---|---|---|---|---|
| Recent price | |||||||
| 01 | cn.happyapi.orgAsk or discussCollected: Collected this cycle View 2 plans 1 more site of the same company
Basis: identical quotes, same status-page name, logo or server address. Counted as one company in the ranking; this is not a legal finding. | default Name on site: glm-4.7 Default group [machine translation]Original: 默认分组 Operator pending verification | 1.6 | 6.4 | — | 2.8Median price ÷ this price: 1× | Full prices and sources |
| 01 | cn.happyapi.orgAsk or discussCollected: Collected this cycle View 2 plans 1 more site of the same company
Basis: identical quotes, same status-page name, logo or server address. Counted as one company in the ranking; this is not a legal finding. | vip Name on site: glm-4.7 vip group [machine translation]Original: vip分组 Operator pending verification | 1.6 | 6.4 | — | 2.8Median price ÷ this price: 1× | Full prices and sources |
Related variants · 4 rows · not ranked
These are special editions of the model (thinking, max, search, batch, long context, free, etc.). They are priced differently from the base model, so they are listed separately and not ranked. Names that only add an effort level such as low, high or nothinking are compared with the base model.
- glm-4.7-thinking (-thinking · thinking edition): 4 rows
- xinsuanai.com · default · glm-4.7-thinking · Input 2 / Output 8 USD credits / 1M
- xinsuanai.com · vip · glm-4.7-thinking · Input 6 / Output 24 USD credits / 1M
- xinsuanai.com · svip · glm-4.7-thinking · Input 8 / Output 32 USD credits / 1M
- xinsuanai.com · Official relay Claude [machine translation]Group on site: 官转克劳德 · glm-4.7-thinking · Input 20 / Output 80 USD credits / 1M
How this ranking works
All per-token prices: 93,968 prices from 854 sites (about 751 companies). 84,786 are ranked, from 838 sites (about 736 companies); 9,182 more are listed separately and not ranked. Prices collected up to 2026-10-24.
This model has 228 recorded prices; 105 can be compared directly (101 ranked, 4 listed separately). Not comparable yet: price not parsed yet 59, ratio looks unset 19, scope of the official doc price not confirmed 12, tiered by rules (see Tiered prices) 12, billed per request or another unit 7, display unit not confirmed 6, new price under review; showing the previous one 6
2 recent · 0 stale (older than 10 days, or not updated by this refresh) · 0 unverified timestamps. Minimum and median only count recent paid prices; older prices stay in the table. 0 zero-valued pairs are separately unverified, without proof of free eligibility. Timing does not verify payment, upstream identity or quality.
Prices are converted to site credits using each site’s published ratio. What you actually pay depends on its top-up rate. Input, output and cache prices in each row come from the same plan. Several sites run by the same company take one place in the ranking: its cheapest plan, with the other sites listed under it. We judge “same company” by identical prices, status pages or homepage code; this is not a legal finding. To see every site’s prices, choose “All plans” or filter by provider.
“Self-declared unofficial channel” means the plan name itself says “reverse-engineered” or similar. We have not verified their source or quality. Minimum and median only count regular plans.
Sources not accepted this cycle and reasons
FAQ
Which API is cheapest for Z.ai · GLM-4.7?
cn.happyapi.org, group "default", 2.8 USD credit per million total tokens, observed 2026-10-23. 44 sites have comparable prices.
How do I use Z.ai · GLM-4.7 in Claude Code or Codex?
Install Grandet Skill, then say "Connect the cheapest Z.ai · GLM-4.7 API to Claude Code for me". Install Skill →