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Z.ai

GLM 5.3

GLM-5.3 is a large-scale reasoning model from Z.ai, built for complex software engineering and long-horizon agent tasks.

At a glance

Input / 1M
$0.04
Output / 1M
$7
Context
1.05M
Max output
944K
Intelligence
44.8
Released
Aug 2026
Text inputReasoningTool calling

Pricing

GLM 5.3 API pricing

Per-token rates, plus what common tasks actually cost.

Input tokensPer 1M tokens$0.04
Output tokensPer 1M tokens$7
Cached input (read)Per 1M tokens$0.04
Cache writePer 1M tokensNot available

Chat message

2K in, 500 out

$3.58

per 1,000 requests

Coding task

30K in, 4K out

$29.20

per 1,000 requests

Long document summary

150K in, 2K out

$20

per 1,000 requests

Benchmarks

GLM 5.3 benchmark scores

Independent scores from Artificial Analysis. Higher is better.

Intelligence index

44.8

Coding index

74.8

Agentic index

53.1

Specs

Context window and capabilities

What it can read, what it can write, and which API features it supports.

Context window
1.05M tokens
Max output
944K tokens
Input types
Text
Output types
Text
Reasoning effort
Max, High, Low
Release date
August 18, 2026
  • Tool calling
  • Structured outputs
  • JSON mode
  • Reasoning
  • Temperature
  • Stop sequences
  • Deterministic seed
  • Verbosity control

FAQ

Frequently asked questions

How much does GLM 5.3 cost?

GLM 5.3 costs $0.04 per 1M input tokens and $7 per 1M output tokens through the API. A typical chat message costs about $3.58 per 1,000 messages.

What is the context window of GLM 5.3?

GLM 5.3 accepts up to 1.05M tokens of input and can write up to 944K tokens in a single response.

What is the best alternative to GLM 5.3?

GPT-6 Sol from OpenAI is a strong alternative. It offers: higher intelligence score, larger 1.05m context, accepts file and image.

Can I use GLM 5.3 alongside other models?

Yes. Shortcut Chat sends one prompt to GLM 5.3 and any other models you pick at the same time, so you can compare answers side by side.

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Try GLM 5.3 next to every other model.

Use GLM 5.3 alongside all the other models. Use one at a time, or multiple together. Get the best answer from every AI.