API PRICES
Z.ai · GLM-4.5-Air
Provider prices, cheapest first
All official and inference price observations
Z.ai · GLM-4.5-Air official price: not yet recorded. Cheapest inference provider: Novita AI, input 0.13, output 0.85 USD per million tokens. Cheapest relay: i.v1api.cc, group "china" 1.05 CNY_CREDIT per million total tokens (credit price, not cash, observed 2026-10-23). 35 sites have comparable prices; 64 sites list this model.Relay blended price uses 75% input and 25% output.
Price ranges per million tokens
Inference provider cash prices · Lowest 0.31 · median 0.31 · highest 0.31 · 2 quotes USD / per million tokens
Inference provider cash prices · Lowest 2.25 · median 2.25 · highest 2.25 · 1 quotes CNY / per million tokens
Relay CNY credit prices · Lowest 1.05 · median 1.05 · highest 1.75 · 3 quotes CNY / 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 |
|---|---|---|---|---|---|---|---|---|
| Novita AI | Standard | 0.13 | 0.85 | 0.025 | — | USD / 1M tokens | Full price conditions{
"sourceUnit": null,
"sourceAmounts": null,
"conditions": [],
"contextTier": null,
"processingMode": null,
"conditionNotes": [],
"effectiveFrom": null,
"effectiveUntil": null
}Official source | |
| OpenRouter · Aggregator | Standard | 0.13 | 0.85 | 0.025 | — | USD / 1M tokens | Full price conditions{
"sourceUnit": "USD_PER_TOKEN",
"sourceAmounts": {
"cacheRead": "0.000000025",
"input": "0.00000013",
"output": "0.00000085"
},
"conditions": [],
"contextTier": null,
"processingMode": null,
"conditionNotes": [],
"effectiveFrom": null,
"effectiveUntil": null
}Official source | |
| SiliconFlow | Standard | 1 | 6 | — | — | CNY / 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 | 0.8 | 2 | 0.16 | — | 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 | 0.8 | 6 | 0.16 | — | 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 | 1.2 | 8 | 0.24 | — | CNY / 1M tokens | Context tier: ZHIPU_TIER:输入[32K,128K) · 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,128K)",
"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 | 0.8 | 2 | 0.16 | — | 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 | 0.8 | 6 | 0.16 | — | 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 | 1.2 | 8 | 0.24 | — | CNY / 1M tokens | Context tier: ZHIPU_TIER:输入[32K,128K) · section: 模型推理 / 文本模型Full price conditions{
"sourceUnit": null,
"sourceAmounts": null,
"conditions": [],
"contextTier": "ZHIPU_TIER:输入[32K,128K)",
"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 |
|---|---|---|---|---|---|---|---|---|
| SiliconFlow | Standard | 1 | 6 | — | — | CNY / 1M tokens | Full price conditions{
"sourceUnit": null,
"sourceAmounts": null,
"conditions": [],
"contextTier": null,
"processingMode": null,
"conditionNotes": [],
"effectiveFrom": null,
"effectiveUntil": null
}Official source | |
| OpenRouter · Aggregator | Standard | 0.13 | 0.85 | 0.025 | — | USD / 1M tokens | Full price conditions{
"sourceUnit": "USD_PER_TOKEN",
"sourceAmounts": {
"cacheRead": "0.000000025",
"input": "0.00000013",
"output": "0.00000085"
},
"conditions": [],
"contextTier": null,
"processingMode": null,
"conditionNotes": [],
"effectiveFrom": null,
"effectiveUntil": null
}Official source | |
| Novita AI | Standard | 0.13 | 0.85 | 0.025 | — | 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 1.05 · median 1.05 · highest 1.75 (3 quotes, CNY credits per million total tokens)
Relays
Prices below are in site credit, not cash.
| # | Provider | Plan / conditions | Input ↑CNY credits / 1M | Output CNY credits / 1M | Cache readCNY credits / 1M | BlendedCNY credits / 1M | Details |
|---|---|---|---|---|---|---|---|
| Recent price | |||||||
| 01 | i.v1api.ccAsk or discussCollected: Collected this cycle View 3 plans | china Name on site: glm-4.5-air Chinese models, Alibaba channel, Kimi/Minimax/Deepseek, 60% of list price, rate multiplier 0.6 [machine translation]Original: 国产模型，阿里渠道，Kimi/Minimax/Deepseek，6折，倍率0.6 Operator pending verification | 0.6 | 2.4 | — | 1.05Median price ÷ this price: 1× | Full prices and sources |
| 01 | i.v1api.ccAsk or discussCollected: Collected this cycle View 3 plans | deepseek Name on site: glm-4.5-air Deepseek stable channel, Chinese model, strong coding ability, very high value for money, 50% of list price, rate multiplier 0.6 [machine translation]Original: Deepseek稳定渠道，国产模型，代码能力强，性价比极高，5折，倍率0.6 Operator pending verification | 0.6 | 2.4 | — | 1.05Median price ÷ this price: 1× | Full prices and sources |
| 03 | i.v1api.ccAsk or discussCollected: Collected this cycle View 3 plans | default Name on site: glm-4.5-air Default group, supports all common models, top value-for-money choice, 20% of list price, rate multiplier 1.0 [machine translation]Original: 默认分组，支持所有常用模型，性价比首选，2折，倍率1.0 Operator pending verification | 1 | 4 | — | 1.75Median price ÷ this price: 0.6× | Full prices and sources |
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 147 recorded prices; 69 can be compared directly (67 ranked, 2 listed separately). Not comparable yet: price not parsed yet 28, ratio looks unset 23, scope of the official doc price not confirmed 8, new price under review; showing the previous one 8, tiered by rules (see Tiered prices) 7, display unit not confirmed 4
3 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-4.5-Air?
i.v1api.cc, group "china", 1.05 CNY credit per million total tokens, observed 2026-10-23. 35 sites have comparable prices.
How do I use Z.ai · GLM-4.5-Air in Claude Code or Codex?
Install Grandet Skill, then say "Connect the cheapest Z.ai · GLM-4.5-Air API to Claude Code for me". Install Skill →