glm-5.3-flash
智谱 AI (ChatGLM) • API Price Comparison
glm-5.3-flash is a large language model by 智谱 AI (ChatGLM) with a 1.3M-token context window. Across the 3 API channels tracked here, input pricing ranges from $0.06–$0.15 per 1M input tokens (USD-normalized); the cheapest is 智谱 AI (ChatGLM) at ¥0.40 per 1M input tokens. The official channel (智谱 AI (ChatGLM)) charges ¥0.40 per 1M input tokens and ¥1.40 per 1M output tokens. Channels reachable from mainland China without a VPN include 智谱 AI (ChatGLM). Prices are collected hourly from official provider pages and every tracked channel, then cross-checked by a daily data-accuracy audit.
| Usage Level | Tokens/Month | 智谱 AI (ChatGLM) | OpenRouter | Together AI |
|---|---|---|---|---|
| 🐣 Light | 0.1M in + 0.1M out | $0.02 | $0.02 | $0.04 |
| 📊 Medium | 1.0M in + 0.5M out | $0.16 | $0.20 | $0.40 |
| 🚀 Heavy | 10.0M in + 5.0M out | $1.59 | $2.00 | $4.00 |
| 🏢 Enterprise | 100.0M in + 50.0M out | $15.94 | $20.00 | $40.00 |
Frequently asked questions about glm-5.3-flash
What is the cheapest API provider for glm-5.3-flash?
Of the channels tracked here, 智谱 AI (ChatGLM) is the cheapest at ¥0.40 per 1M input tokens and ¥1.40 per 1M output tokens (about $0.06 per 1M input). Confirm on the provider's page; figures are updated hourly.
What is the official API price of glm-5.3-flash?
智谱 AI (ChatGLM) lists glm-5.3-flash at ¥0.40 per 1M input tokens and ¥1.40 per 1M output tokens.
Can I use glm-5.3-flash from mainland China?
Yes — these channels are directly reachable from mainland China without a VPN: 智谱 AI (ChatGLM). Domestic channels generally support Alipay/WeChat Pay.
What is the context window of glm-5.3-flash?
glm-5.3-flash offers a 1,310,720-token context window.
How often are glm-5.3-flash prices updated, and how reliable is the data?
Prices are scraped hourly 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.