Context Window
202,752
Tokens
Model Cost Profile
Z.ai: GLM 5
Developer: z-ai
Pricing updated Mar 11, 2026
Input rank: #223Output rank: #232
Z.ai: GLM 5, developed by z-ai, offers an extensive context window of 204800 tokens, making it suitable for applications requiring deep contextual understanding, such as long-form content generation and complex data analysis. With an input price of $0.95 per 1 million tokens and an output price of $2.55 per 1 million tokens, teams can effectively manage costs while leveraging the model for tasks like customer support automation and advanced natural language processing. This pricing structure allows organizations to scale their usage based on specific project needs, optimizing budget allocation for AI-driven solutions.
🔧 Tool Calling📋 Structured Output🧠 Reasoning
Input Price / 1M
$0.7200
Prompt tokens
Output Price / 1M
$2.30
Completion tokens
Intelligence (MMLU)
Benchmark Pending
Massive Multitask Language Understanding
Side-by-Side Pricing Table
| Usage Type | Price / 1M Tokens |
|---|---|
| Input (Prompt) | $0.7200 |
| Output (Completion) | $2.30 |
Price History
Z.ai: GLM 5 Pricing Trend
Input / 1M tokens-10.0%Output / 1M tokens-10.2%
Mar 7 — Mar 11
Current Input / 1M
$0.7200
Current Output / 1M
$2.30
Cost Calculator
Estimate monthly spend for Z.ai: GLM 5 based on your workload.
01.0B
0500M
Estimated Monthly Cost
$46
25M input + 12M output tokens
Cheaper Alternatives to Compare
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FAQ
Common pricing and benchmark questions for Z.ai: GLM 5.
How much does Z.ai: GLM 5 cost per 1M input tokens?
Z.ai: GLM 5 input pricing is $0.7200 per 1M tokens based on the latest synced provider data.
How much does Z.ai: GLM 5 cost per 1M output tokens?
Z.ai: GLM 5 output pricing is $2.30 per 1M tokens based on the latest synced provider data.
What context window does Z.ai: GLM 5 support?
Z.ai: GLM 5 supports a context window of 202,752 tokens.
How can I compare Z.ai: GLM 5 with cheaper alternatives?
Use the comparison links on this page to open direct model-vs-model pricing and benchmark pages, then evaluate monthly spend projections for your workload.