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Z.ai · 2025-07-25

GLM 4.5 pricing

GLM-4.5 is our latest flagship foundation model, purpose-built for agent-based applications.

Prices from OpenRouter’s models API, updated October 29, 2026

Input$0.60per 1M tokens
Output$2.20per 1M tokens
Cached input$0.1182% off input
Context131Ktools · reasoning

What GLM 4.5 costs a month

WorkloadStandard
Support chatbot: 1,000 chats a day, 1,500 tokens in, 400 out$53.40
Daily summaries: 10,000 a day, 3,000 tokens in, 300 out$738
Coding agent: 400 calls a day, 60,000 tokens in (80% cached), 2,000 out$203

30 days. Cached input billed at the cache-read price. Use your own numbers.

Cheaper models with a similar context window

ModelProviderInput /1MOutput /1MCache read /1MContextChatbot, per month*
Ling 3.0 Flashinclusionai$0.021$0.063$0.0042262K$1.70
GLM 5.3 FlashZ.ai$0.046$0.074$0.031.05M$2.95
Qwen3.7 FlashAlibaba Qwen$0.03$0.13$0.0061M$2.91
Mercury 2.5inception$0.04$0.15$0.004260K$3.60
Granite 4.2 8Bibm-granite$0.06$0.15$0.015131K$4.50

* Support chatbot: 1,000 chats a day, 1,500 tokens in, 400 out, 30 days, no caching. Prices in US dollars per 1M tokens.

Cheaper isn’t automatically as good. Glow’s GlowBench scores models on your kind of task before suggesting a swap.

Other GLM models

ModelInput /1MOutput /1MCache read /1MContextChatbot, per month*
GLM 5.3 Prime$2.80$8.80$0.561M$232
GLM 5.3 FlashX$0.37$1.25$0.091.05M$31.65
GLM 5.3 Flash$0.046$0.074$0.031.05M$2.95
GLM 5.3$0.07$1.40$0.0691.05M$19.95
GLM 5.2$0.006$7$0.0051.05M$84.27
GLM 5.1$1.40$4.40$0.26205K$116

* Support chatbot: 1,000 chats a day, 1,500 tokens in, 400 out, 30 days, no caching. Prices in US dollars per 1M tokens.

Related

GLM 4.5: questions

How much does GLM 4.5 cost?

$0.60 per 1M input tokens and $2.20 per 1M output tokens, with cached input at $0.11. A 1,000-token prompt with a 500-token answer costs about $0.0017.

What is GLM 4.5’s context window?

131,072 tokens, with up to 98,304 output tokens per response.

Is there a cheaper alternative to GLM 4.5?

Ling 3.0 Flash costs $0.021 in and $0.063 out per 1M tokens with a similar context window. Whether it matches GLM 4.5’s quality depends on the task: test it on your own prompts (Glow’s GlowBench does this per task).

Know what each model really costs you.

Connect OpenRouter and Glow shows spend by model, key and product, and flags the swap that saves the most at the same quality.

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