GLM 5.3
glm-5.3GLM-5.3 is a large-scale reasoning model from Z.ai, built for complex software engineering and long-horizon agent tasks. It supports text input and output with a 1M-token context window, and improves... Built by Z.ai.
Prices updated
Input price
$1.40
per 1M tokens · Standard
Output price
$3.39
per 1M tokens · Standard
Input limit
1M
tokens
Output limit
944K
tokens
Input formats
Output formats
GLM 5.3 price history
4 price records since 9/25/2026 · 2 changes
GLM 5.3 cost calculator
$45/month
Standard pricing
Overview
What is GLM 5.3?
GLM 5.3 is a text & reasoning model from Z.ai. GLM-5.3 is a large-scale reasoning model from Z.ai, built for complex software engineering and long-horizon agent tasks. It supports text input and output with a 1M-token context window, and improves... Its 1M context window and $1.40 input price make it a candidate for quality-focused production applications.
Benchmarks
GLM 5.3 benchmarks & speed
How GLM 5.3 scores on standardized evaluations, and where it lands among every model we track.
44.8
Intelligence Index
72tok/s
Output speed
Reasoning
GPQA Diamond
91.7%
Graduate-level scientific reasoning · top 15%
HLE
42.3%
Humanity's Last Exam · top 17%
Coding
SciCode
59.0%
Python for scientific computing · top 7%
Latency & design
- Time to first token
- 2.73s
Independent scores from Artificial Analysis and DesignArena · updated 10/5/2026. Higher is better; ranks compare against every model we track with that score.
Rates
GLM 5.3 pricing
Pricing is based on token usage. Provider-specific caching, batch, regional, and tool charges may affect the final cost.
Input · Standard
$1.40
Per 1M tokens
Cached input · Standard
$0.05
Per 1M tokens
Capabilities
GLM 5.3 Tools
Tools available when using GLM 5.3 through supported provider APIs.
Function calling
Supported
Structured outputs
Supported
JSON mode
Supported
Reasoning
Supported
Built-in web search
Not supported
Log probabilities
Supported
Deterministic seed
Supported
Parallel tool calls
Supported
Prompt caching
Supported
Strengths and limitations
Strengths
- Measured results (AA Intelligence 44.8) position it for demanding production work.
- 1M context supports large documents, repositories and extended conversations.
- Supports text & reasoning workloads in one model.
Limitations
- Real-world cost still depends on prompt length, response length and provider-specific billing rules.
- Large context capacity does not guarantee consistent retrieval across the entire prompt.
- Arena Elo and MMLU-Pro are directional; test accuracy, latency and reliability on your own workload before committing.
Arena Elo, MMLU-Pro and pricing figures are illustrative; validate current vendor terms before purchase.
Same provider