# GLM-4.7-FlashX Usage, Cost & Rank | OpenCode Data

> GLM-4.7-FlashX costs $0.07 per 1M input tokens and $0.40 per 1M output tokens.

Efficient GLM model for fast reasoning, coding, and agent workflows

- Page: https://opencode.ai/data/zhipuai/glm-4-7-flashx
- JSON: https://opencode.ai/data/zhipuai/glm-4-7-flashx.json
- Model ID: zhipuai/glm-4.7-flashx
- Lab: Zhipu

## Model facts

| Fact | Value |
| --- | --- |
| Context window | 200K |
| Max output | 131K |
| Knowledge cutoff | 2025-04 |
| Release date | 2026-01-19 |
| Input modalities | text |
| Output modalities | text |
| Reasoning | Yes |
| Tool calling | Yes |
| Open weights | Yes |
| Weights | [Hugging Face](https://huggingface.co/zai-org/GLM-4.7-Flash) |

## Pricing: USD per 1M tokens

| Input | Output | Cached input | Cache write |
| --- | --- | --- | --- |
| $0.07 | $0.40 | $0.01 | $0.00 |

## Methodology

- Updates: Aggregated every hour. Days and weeks use UTC.
- Tokens: Input, output, reasoning, and cached tokens for each request.
- Users and sessions: Approximate counts of distinct users and OpenCode sessions.
- Cost: Session cost is the average cost per OpenCode session. Token prices are list prices from the OpenCode model catalog.
- Retention: The share of a model's users in one week who use it again the next week.
- Citation: Cite OpenCode Data (opencode.ai/data) with the update time shown at the top of the page.