Model Cost Profile

Z.ai: GLM 4.5V

Developer: z-ai

Pricing updated Mar 11, 2026

Input rank: #215Output rank: #208

Live Pricing

Input: $0.6000

Output: $1.80

Pricing via OpenRouter API ยท Last synced Mar 11, 2026 ยท MMLU score via public benchmark data

Z.ai: GLM 4.5V, developed by z-ai, offers a substantial context window of 65,536 tokens, making it ideal for applications requiring extensive text analysis, such as legal document review or long-form content generation. Teams leveraging this API model can expect input costs of $0.60 per million tokens and output costs of $1.80 per million tokens, which can significantly impact budgeting for large-scale projects. Its advanced capabilities enable efficient handling of complex queries, enhancing productivity in research-heavy environments.

๐Ÿ‘ Vision๐Ÿ”ง Tool Calling๐Ÿ“‹ Structured Output๐Ÿง  Reasoning

Context Window

65,536

Tokens

Input Price / 1M

$0.6000

Prompt tokens

Output Price / 1M

$1.80

Completion tokens

Intelligence (MMLU)

75.1

Massive Multitask Language Understanding

Benchmark Scores

Standardized evaluation scores for Z.ai: GLM 4.5V.

BenchmarkScoreRankSource
GPQA57.3#67 of 118artificial_analysis
MMLU75.1#63 of 121artificial_analysis

Price History

Z.ai: GLM 4.5V Pricing Trend

Input / 1M tokens0.0%Output / 1M tokens0.0%
Mar 7 โ€” Mar 11
$0.6000$1.20$1.80Mar 7Mar 8Mar 9Mar 10Mar 11

Current Input / 1M

$0.6000

Current Output / 1M

$1.80

Cheaper Alternatives to Compare

Quick links for cost-down decisions before production rollout.

FAQ

Common pricing and benchmark questions for Z.ai: GLM 4.5V.

How much does Z.ai: GLM 4.5V cost per 1M input tokens?

Z.ai: GLM 4.5V input pricing is $0.6000 per 1M tokens based on the latest synced provider data.

How much does Z.ai: GLM 4.5V cost per 1M output tokens?

Z.ai: GLM 4.5V output pricing is $1.80 per 1M tokens based on the latest synced provider data.

What context window does Z.ai: GLM 4.5V support?

Z.ai: GLM 4.5V supports a context window of 65,536 tokens.

How can I compare Z.ai: GLM 4.5V 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.