GLM-4.7-Flash pricing
As a 30B-class SOTA model, GLM-4.7-Flash offers a new option that balances performance and efficiency. It is further optimized for agentic coding use cases, strengthening coding capabilities, long-horizon task… GLM-4.7-Flash from Zhipu AI (GLM) costs free per 1M input tokens and free per 1M output tokens. Cached input is free per 1M. Context window 200,000 tokens.
API id glm-4.7-flash · Zhipu AI (GLM) · source · updated 2026-09-25 · general-purpose
Free
Input / 1M tokens
Free
Output / 1M tokens
Free
Cached input / 1M
200K
Context window
GLM-4.7-Flash specifications
- Provider
- Zhipu AI (GLM)
- API id
glm-4.7-flash- Model type
- general-purpose
- Context window
- 200K tokens
- Max output
- 118K tokens
- Currency
- USD
- Price source
- First-party
- Last checked
- 2026-09-25
Tags
- fast
GLM-4.7-Flash across providers
The same model, priced by every seller we track. Ranked by the cost of 1M input + 1M output tokens, standard tier; savings measured against buying from the vendor directly.
| Provider | Input /1M | Cached /1M | Output /1M | 1M in + 1M out | vs vendor |
|---|---|---|---|---|---|
| Free | Free | Free | $0.00 | — | |
OpenRouterHost | $0.060 | — | $0.400 | $0.46 | — |
What GLM-4.7-Flash costs in practice
| Workload | Input tokens | Output tokens | Estimated cost |
|---|---|---|---|
| Short chat turn | 1,000 | 500 | Free |
| Document summary | 50,000 | 2,000 | Free |
| 1M tokens in, 200K out | 1,000,000 | 200,000 | Free |
Estimates use the standard tier and ignore caching discounts, so real bills with repeated prompt prefixes are typically lower.
Common questions
- How much does GLM-4.7-Flash cost per 1M tokens?
- GLM-4.7-Flash costs free per 1M input tokens and free per 1M output tokens on the standard tier. Cached input is free per 1M.
- What is GLM-4.7-Flash's context window?
- GLM-4.7-Flash accepts up to 200,000 tokens in a single request, and can return up to 117,964 output tokens.
- Where does this GLM-4.7-Flash price come from?
- Directly from Zhipu AI (GLM)'s published pricing page, re-read every day and normalized to USD per 1,000,000 tokens.