---
title: "GLM-5.3-FlashX — LLM-TEST.com"
url: /models/glm-5-3-flashx/
canonical_url: https://llm-test.com/models/glm-5-3-flashx/
language: en
type: model
summary: "The higher-throughput variant of GLM-5.3-Flash, provisioned for peak traffic and burst workloads. It trades a little unit price for faster served tokens and steadier latency under load."
last_updated: "2026-11-05"
---

# GLM-5.3-FlashX

_Zhipu AI · Fast · open weights_

The higher-throughput variant of GLM-5.3-Flash, provisioned for peak traffic and burst workloads. It trades a little unit price for faster served tokens and steadier latency under load.

## At a glance

- Released: Sep 18, 2026
- Provider: Zhipu AI
- Context window: 128,000 tokens
- Max output: 32,000 tokens
- Modalities: Text → text
- Knowledge cutoff: June 2026
- API model ID: `glm-5.3-flashx`
- License: Open weights (MIT)

## Pricing

- Standard: $0.37 input / $1.25 output per 1M tokens
- Example: a 1,500-token prompt + 650-token answer ≈ $0.001 (standard)

## What's new vs GLM-4.7-FlashX (May 2026)

- Higher sustained throughput than GLM-4.7-FlashX
- Improved instruction adherence over the prior FlashX
- Priced above the plain Flash tier

## Best use cases

- **High-traffic endpoints** — Keeps latency flat when request volume spikes.
- **Batch pipelines** — Chews through large jobs faster than the base Flash tier.
- **Real-time features** — Powers autocomplete and inline assists that need snappy responses.

## Strengths

- High throughput
- Stable under load
- Open weights

## Limitations

- Costs more than base Flash
- Same reasoning ceiling as Flash

## 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/