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. 44 sites have comparable prices; 92 sites list this model.
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 24.5 · median 24.5 · highest 24.5 · 1 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: CNY credits per 1M tokens. These are site-credit prices; actual cost depends on each site’s top-up rate.
Price range: lowest — · median — · highest — (0 quotes, CNY credits per million total tokens)
No comparable prices
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View other prices and terms for this modelHow 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
0 recent · 0 stale (older than 10 days, or not updated by this refresh) · 0 unverified timestamps. No recent prices to summarize in this group. 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.
FAQ
Which API is cheapest for Z.ai · GLM-4.7?
No valid quotes within 10 days. Older quotes are listed as reference 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 →