GLM 4.6V
by Z.ai · z-ai/glm-4.6v · #114 cheapest of 325 paid models
Prices updated Jul 22, 2026, 1:43 AM UTC · refreshed hourly
GLM-4.6V is a large multimodal model designed for high-fidelity visual understanding and long-context reasoning across images, documents, and mixed media. It supports up to 128K tokens, processes complex page layouts...
Compare vs:Claude Sonnet 5Claude Opus 4.6Claude Haiku 4.5GPT-5.6 Sol
Pricing
Input
$0.30
per 1M tokens
Output
$0.90
per 1M tokens
Blended (3:1)
$0.45
3 input : 1 output
Cache read
$0.055
per 1M cached tokens
Cache write
—
per 1M tokens
Cache & batch economics
Effective prices for GLM 4.6V with prompt caching.
| Cache hit rate | Effective blended $/1M | Example request* | vs no cache |
|---|---|---|---|
| 0% | $0.45 | $0.0315 | — |
| 50% | $0.358 | $0.0192 | −39% |
| 90% | $0.285 | $0.00945 | −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 | $0.00042 | $0.42 |
| Document summary | 8,000 | 1,000 | $0.0033 | $3.30 |
| Codebase question (RAG) | 30,000 | 2,000 | $0.0108 | $10.80 |
| Long-context analysis | 150,000 | 5,000 | $0.0495 | $49.50 |
Specs
Context window
131K
tokens
Max output
33K
tokens
Input modalities
image, text, video
Tokenizer
Other