
GLM 4.7 Flashx
智谱 AI (ChatGLM) • API Price Comparison
GLM 4.7 Flashx is a large language model by 智谱 AI (ChatGLM) with a 200K-token context window. Across the 2 API channels tracked here, input pricing ranges from $0.07–$0.07 per 1M input tokens (USD-normalized); the cheapest is XycAi at ¥0.49 per 1M input tokens. The official channel (智谱 AI (ChatGLM)) charges ¥0.50 per 1M input tokens and ¥3.00 per 1M output tokens. Channels reachable from mainland China without a VPN include XycAi, 智谱 AI (ChatGLM). Prices are collected daily from official provider pages and every tracked channel, then cross-checked by a data-accuracy audit.
| Channel | Type | Input / 1M | Output / 1M | Rate Limit | China | vs Official | |
|---|---|---|---|---|---|---|---|
XycAi💰 Best Price | 转售商 | ¥0.49 | ¥2.97 | - | -1.1% | ||
智谱 AI (ChatGLM)🏢 Official | 官方 | ¥0.50 | ¥3.00 | - | Baseline |
| Usage Level | Tokens/Month | XycAi | 智谱 AI (ChatGLM) |
|---|---|---|---|
| 🐣 Light | 0.1M in + 0.1M out | $0.03 | $0.03 |
| 📊 Medium | 1.0M in + 0.5M out | $0.29 | $0.29 |
| 🚀 Heavy | 10.0M in + 5.0M out | $2.87 | $2.90 |
| 🏢 Enterprise | 100.0M in + 50.0M out | $28.65 | $28.99 |
Frequently asked questions about glm-4.7-flashx
What is the cheapest API provider for GLM 4.7 Flashx?
Of the channels tracked here, XycAi is the cheapest at ¥0.49 per 1M input tokens and ¥2.97 per 1M output tokens (about $0.07 per 1M input). Confirm on the provider's page; figures are updated daily.
What is the official API price of GLM 4.7 Flashx?
智谱 AI (ChatGLM) lists GLM 4.7 Flashx at ¥0.50 per 1M input tokens and ¥3.00 per 1M output tokens.
Can I use GLM 4.7 Flashx from mainland China?
Yes — these channels are directly reachable from mainland China without a VPN: XycAi, 智谱 AI (ChatGLM). Domestic channels generally support Alipay/WeChat Pay.
What is the context window of GLM 4.7 Flashx?
GLM 4.7 Flashx offers a 200,000-token context window.
How often are GLM 4.7 Flashx prices updated, and how reliable is the data?
Prices are scraped daily from official pricing pages and every tracked channel, with every significant change recorded in a price-history log. A daily read-only data audit cross-checks each channel against the model producer's published price and flags stale or inconsistent rows for correction.
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