Built for speed
Z.ai says FlashX runs at up to 200 tokens a second. In our tests on Zurelay it wrote about 85 to 90 a second, twice GLM-5.3 Flash's pace.
Z.ai
Operational· checked every few minutesGLM-5.3 FlashX API
The GLM-5.3 FlashX API: Z.ai's high-speed GLM-5.3 Flash, 68% below Z.ai's list price
Price per 1M tokens68%off
- Input
- $0.12
$0.37 - Output
- $0.40
$1.25 - Cached input
- $0.024
Model ID
glm-5.3-flashxchat.py
from openai import OpenAIclient = OpenAI( base_url="https://api.zurelay.com/v1", api_key="YOUR_ZURELAY_KEY",)stream = client.chat.completions.create( model="glm-5.3-flashx", messages=[{"role": "user", "content": "Explain quicksort in two sentences."}], stream=True,)for chunk in stream: if chunk.choices: print(chunk.choices[0].delta.content or "", end="")Base URL https://api.zurelay.com/v1. Works with any OpenAI SDK. Chat API docs
- Context window
- 1M tokens
- Max output
- 128K tokens
- Reasoning
- low · high · max
- Input
- Text, Image
- Status
- Operational
Pricing
GLM-5.3 FlashX API pricing. A fraction of the list price.
Pay as you go from prepaid credit, with no subscription. Top up from $10. Requests that fail are never billed.
| Rate | Zurelay | Z.ai list | You save |
|---|---|---|---|
Input per 1M tokens | $0.12 | 68%off | |
Output per 1M tokens | $0.40 | 68%off | |
Cached input per 1M tokens | $0.024 | — | — |
One rate at every prompt length, up to the full 1M context window. Streaming, tool calls and structured outputs cost nothing extra.
Every GLM model and priceSavings calculator
Move the sliders to your monthly usage.
Input tokens per month50M
Output tokens per month10M
Zurelay
$10.00
Z.ai list price
$31.00
You save every month$21.00
$252.00 a year
Overview
What is GLM-5.3 FlashX?
GLM-5.3 FlashX is Z.ai's high-speed version of GLM-5.3 Flash, its low-cost GLM for coding and agents. Z.ai says it runs at up to 200 tokens a second. The Zurelay GLM-5.3 FlashX API serves it through one OpenAI-compatible endpoint with a 1M-token context window, at 68% below Z.ai's list price.
GLM-5.3 FlashX is the fast way to run GLM-5.3 Flash. Z.ai lists it on GLM-5.3 Flash's own page as the version delivering inference speeds of up to 200 tokens a second. In our tests on Zurelay it wrote about 85 to 90 tokens a second, about twice as fast as GLM-5.3 Flash. On Zurelay the model ID is glm-5.3-flashx, and it costs $0.12 per 1M input tokens and $0.40 per 1M output tokens.
It shares GLM-5.3 Flash's model: 320B total parameters with 18B active per token, hybrid sparse and linear attention, and a 1M-token context window with up to 128K output tokens per request. Z.ai built it for coding and agent work: long tool-calling runs, frontend and game code, and office and research workflows.
Reasoning is always on. Z.ai's API takes a reasoning_effort of low, high or max, with max as the default and the setting Z.ai recommends, and thinking can't be switched off. The model supports function calling, structured JSON output, streaming and context caching. On Zurelay it reads text and images; PDFs and video aren't supported yet.
FlashX costs more per token than GLM-5.3 Flash, so the choice comes down to speed. Use FlashX when a person is waiting on the answer, in chat, voice or interactive agents, and GLM-5.3 Flash for background jobs, where the lower price matters more. You pay $0.12 per 1M input tokens and $0.40 per 1M output tokens, against Z.ai's list price of $0.37 and $1.25, with cached input at $0.024.
Strengths
Where GLM-5.3 FlashX shines. And what teams build with it.
GLM-5.3 Flash's model
The same 320B-parameter model with 18B active per token, which Z.ai reports ahead of GLM-5.2 on all six of its coding and agent benchmarks.
Reads images
Send screenshots, diagrams and photos as https links or base64 data URLs alongside your text.
Long context
A 1M-token window and up to 128K output tokens per request, with hybrid attention that keeps long prompts cheap to serve.
Use cases
Interactive agents
Tool-calling loops where every step waits on the model, so twice the speed cuts the time a task takes.
Chat and support
Answers that stream fast enough to read as they arrive, at a fraction of a frontier model's price.
Coding assistants
Edits, explanations and code generation in an editor or terminal, where a slow model breaks your flow.
Screenshots and UI work
Read interfaces and rendered pages from screenshots and write the frontend code to match.
Get started
Call GLM-5.3 FlashX in three steps.
No waitlist and no new SDK. If your code already talks to OpenAI, it already talks to Zurelay.
- 1
Create a key
Sign up, add credit and create an API key. Set a monthly budget or a rate limit per key if you like.
- 2
Point your SDK at Zurelay
Change the base URL. Everything else in your code stays the same.
https://api.zurelay.com/v1 - 3
Use glm-5.3-flashx
Send chat completions as usual. Streaming, tool calls and usage reporting work as you expect.
glm-5.3-flashx
Works with the tools you already use
Compare
Similar models. All on the same key.
50%off
GLM-5.3 Flash
$0.07 / $0.25 per 1M tokens
Pick GLM-5.3 Flash, the same model at its own speed, for background jobs where a lower price matters more than time.
GLM-5.3 Flash API73%off
GLM-5.3
$0.38 / $1.21 per 1M tokens
Pick GLM-5.3, Z.ai's larger text-only flagship, for the hardest coding and security work.
GLM-5.3 API75%off
GPT-6 Luna
$0.025 / $0.125 per 1M tokens
Pick GPT-6 Luna for OpenAI's fast, low-cost model when you want to compare labs on the same task.
GPT-6 Luna APIHow much does the GLM-5.3 FlashX API cost?
GLM-5.3 FlashX costs $0.12 per 1M input tokens and $0.40 per 1M output tokens on Zurelay, with cached input at $0.024. Z.ai's list price is $0.37 input and $1.25 output, so you save 68%. One rate applies at every prompt length.
What is the difference between GLM-5.3 FlashX and GLM-5.3 Flash?
Speed and price. FlashX is Z.ai's high-speed way to run GLM-5.3 Flash: Z.ai says up to 200 tokens a second, and in our tests on Zurelay it wrote about twice as fast as GLM-5.3 Flash. Both have a 1M-token context, 128K output and always-on reasoning. FlashX costs more per token, so use it when someone is waiting on the answer.
How do I call the GLM-5.3 FlashX API with the OpenAI SDK?
Install the official OpenAI SDK, set the base URL to https://api.zurelay.com/v1 and use your Zurelay API key. Then pass model "glm-5.3-flashx" to chat.completions.create. Z.ai recommends temperature 1, top_p 0.95 and a reasoning_effort of max; use low when speed matters most.
What is the GLM-5.3 FlashX context window?
GLM-5.3 FlashX has a 1M-token context window and writes up to 128K output tokens per request. On Zurelay it takes text and images and returns text.
Can GLM-5.3 FlashX read images, PDFs or video on Zurelay?
Images, yes: send them as https links or base64 data URLs in image_url parts. PDFs and video aren't supported on Zurelay yet, and a request that includes one is turned away with a clear error before anything is billed.
Can I turn reasoning off on GLM-5.3 FlashX?
No. Z.ai's GLM-5.3 models always think before they answer. Set reasoning_effort to low for the quickest answers; a request for none runs at low.
Does the GLM-5.3 FlashX API support streaming and per-key limits?
Yes. Set stream: true to receive tokens as they are generated, and add stream_options.include_usage to get token counts in the final chunk. You can give each Zurelay API key its own monthly budget and requests-per-minute cap. Failed requests are retried on another route and never billed.
Is GLM-5.3 FlashX on Zurelay the same model Z.ai serves?
Yes. Requests go to glm-5.3-flashx itself, at its own speed. Zurelay doesn't swap in a slower or substitute model. Only smart routing, which you turn on yourself, can answer with GLM-5.3 Flash when FlashX is down, and the x-zurelay-model header names the model that answered. Output is sampled, so wording varies from run to run, just as it does on Z.ai's own API. Zurelay is an independent service and is not affiliated with Z.ai.
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