GLM 4.5V
by Z.ai · z-ai/glm-4.5v · #175 cheapest of 325 paid models
Prices updated Jul 22, 2026, 1:43 AM UTC · refreshed hourly
GLM-4.5V is a vision-language foundation model for multimodal agent applications. Built on a Mixture-of-Experts (MoE) architecture with 106B parameters and 12B activated parameters, it achieves state-of-the-art results in video understanding,...
Compare vs:Claude Sonnet 5Claude Opus 4.6Claude Haiku 4.5GPT-5.6 Sol
Pricing
Input
$0.60
per 1M tokens
Output
$1.80
per 1M tokens
Blended (3:1)
$0.90
3 input : 1 output
Cache read
$0.11
per 1M cached tokens
Cache write
—
per 1M tokens
Cache & batch economics
Effective prices for GLM 4.5V with prompt caching.
| Cache hit rate | Effective blended $/1M | Example request* | vs no cache |
|---|---|---|---|
| 0% | $0.90 | $0.063 | — |
| 50% | $0.716 | $0.0385 | −39% |
| 90% | $0.569 | $0.0189 | −70% |
*Example: 100K sticky context + 2K new input + 1K output. Batch discount is an approximate 50% off list rates (available for OpenAI / Anthropic / Google — not flagged for this creator). Confirm on the vendor’s pricing page.
What a request costs
| Workload | Input tokens | Output tokens | Cost / request | Cost / 1K requests |
|---|---|---|---|---|
| Short chat message | 500 | 300 | $0.00084 | $0.84 |
| Document summary | 8,000 | 1,000 | $0.0066 | $6.60 |
| Codebase question (RAG) | 30,000 | 2,000 | $0.0216 | $21.60 |
| Long-context analysis | 150,000 | 5,000 | $0.099 | $99.00 |
Specs
Context window
66K
tokens
Max output
16K
tokens
Input modalities
text, image
Tokenizer
Other