---
title: "GLM-4.7-FlashX — LLM-TEST.com"
url: /models/glm-4-7-flashx/
canonical_url: https://llm-test.com/models/glm-4-7-flashx/
language: en
type: model
summary: "A high-throughput, ultra-cheap Flash model from the 4.7 generation, built for volume. It is the throughput-oriented counterpart to the free GLM-4.7-Flash."
last_updated: "2026-11-05"
---

# GLM-4.7-FlashX

_Zhipu AI · Fast · open weights_

A high-throughput, ultra-cheap Flash model from the 4.7 generation, built for volume. It is the throughput-oriented counterpart to the free GLM-4.7-Flash.

## At a glance

- Released: May 20, 2026
- Provider: Zhipu AI
- Context window: 128,000 tokens
- Max output: 16,000 tokens
- Modalities: Text → text
- Knowledge cutoff: December 2025
- API model ID: `glm-4.7-flashx`
- License: Open weights (MIT)

## Pricing

- Standard: $0.07 input / $0.40 output per 1M tokens
- Example: a 1,500-token prompt + 650-token answer ≈ $0.0004 (standard)

## Best use cases

- **Large-scale extraction** — Pulls structured data from documents at very low cost.
- **Routing** — Acts as a cheap first-pass classifier in front of larger models.
- **Throughput jobs** — Processes big batches where speed matters more than depth.

## Strengths

- Extremely low price
- High throughput
- Open weights

## Limitations

- Limited reasoning depth
- Short max output

## Where to get access

- Consumer app: Z.ai chat (GLM) — https://chat.z.ai
- API: the Z.ai API console — https://z.ai/manage-apikey/apikey-list
- Also available: open weights on Hugging Face (GLM)
- Docs: https://docs.z.ai

Full comparison and live pricing: https://llm-test.com/ · directory: https://llm-test.com/models/