GLM 5.3 Flashx

Q: What is the context length of GLM 5.3 Flashx?

GLM 5.3 Flashx has a 1,000,000 token context window.

Q: How much does GLM 5.3 Flashx cost?

On AIHubMix, GLM 5.3 Flashx costs $0.37 per million input tokens and $1.25 per million output tokens. Cached input reads are billed at $0.075 per million tokens.

Q: What modalities does GLM 5.3 Flashx support?

GLM 5.3 Flashx accepts text, image and video input. It returns text output.

Q: How do I call GLM 5.3 Flashx via API?

GLM 5.3 Flashx is available through the AIHubMix unified API. The API is OpenAI-compatible: point your OpenAI SDK at https://aihubmix.com/v1, use your AIHubMix API key, and set the model name to glm-5.3-flashx — no other code changes needed.

Q: Who created GLM 5.3 Flashx?

GLM 5.3 Flashx is developed by Z.AI. AIHubMix aggregates it alongside models from other providers behind one API and one bill.

glm-5.3-flashxllms.txt

Z.AI

New

GLM-5.3-FlashX is Z.AI’s high-speed inference model, designed for coding agents, real-time interactions, long-running agentic workflows, and applications that require fast token generation. It is heavily optimized at the inference infrastructure level for lower latency and higher execution efficiency, reaching generation speeds of up to 200 tokens per second. Compared with GLM-5.3-Flash, GLM-5.3-FlashX delivers up to 5× faster inference, with a stronger focus on low-latency and high-throughput workloads.

Pricing

Input Tokens: $0.37 /M tokens
Output Tokens: $1.25 /M tokens
Cache Read: $0.075 /M tokens

Input Modalities

Text
Vision
Video

Output Modalities

Text

Context length

1M tokens

Providers

Z.AI zai-glm-5.3-flashx

Pricing$0.37$1.25

Cache$0.075

Context1M

Max output128K

Latency-

Throughput-

Uptime

0.00% uptime 2 days ago

0.00% uptime yesterday

100.00% uptime today

Performance for glm-5.3-flashx

Uptime is the percentage of requests that succeeded over the past 72 hours. AIHubMix continuously monitors every provider and automatically retries with the next-best provider when one returns an error or responds too slowly; Latency is total round-trip time (lower is better); Throughput is how fast the model writes (tokens per second, higher is better).

Uptime

Latency

Throughput

Try this model

Python

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["AIHUBMIX_API_KEY"],
    base_url="https://aihubmix.com/v1",
)

response = client.chat.completions.create(
    model="glm-5.3-flashx",
    messages=[
      {
        "role": "user",
        "content": "Hello, how are you?"
      }
    ],
    max_tokens=1024,
    stream=False,
)

print(response.choices[0].message.content)

Frequently asked questions

What is GLM 5.3 Flashx?

What is the context length of GLM 5.3 Flashx?

How much does GLM 5.3 Flashx cost?

What modalities does GLM 5.3 Flashx support?

How do I call GLM 5.3 Flashx via API?

Who created GLM 5.3 Flashx?

Compare GLM 5.3 Flashx

GLM 5.3 FlashxvsQwen3.8 Max Preview GLM 5.3 FlashxvsKimi K3 GLM 5.3 FlashxvsGLM 5.2 GLM 5.3 FlashxvsGrok 4.5

GLM 5.3 Flashx

Pricing

Input Modalities

Output Modalities

Context length

Providers

Performance for glm-5.3-flashx

Try this model

Frequently asked questions

What is GLM 5.3 Flashx?

What is the context length of GLM 5.3 Flashx?

How much does GLM 5.3 Flashx cost?

What modalities does GLM 5.3 Flashx support?

How do I call GLM 5.3 Flashx via API?

Who created GLM 5.3 Flashx?

Compare GLM 5.3 Flashx

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GLM 5.3 Flashx

Pricing

Input Modalities

Output Modalities

Context length

Providers

Performance for glm-5.3-flashx

Try this model

Frequently asked questions

What is GLM 5.3 Flashx?

What is the context length of GLM 5.3 Flashx?

How much does GLM 5.3 Flashx cost?

What modalities does GLM 5.3 Flashx support?

How do I call GLM 5.3 Flashx via API?

Who created GLM 5.3 Flashx?

Compare GLM 5.3 Flashx

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