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Z.ai: GLM 4.6 API Pricing

Z.ai: GLM 4.6 costs $0.550 per 1M input tokens and $2.20 per 1M output tokens (cache reads: $0.110). Context window: 205K. Prices verified 2026-10-21 · source

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Price history
2026-08-23 → 2026-10-21 · 59 daily snapshots
inputoutputinput +10% over windowoutput +10%

Rebuilt daily from our snapshot archive — the chart appears once a model has 5+ snapshots of history.

Community adoption
21K
HF downloads
1K
Likes

High adoption means battle-tested weights, more fine-tunes/quants, and faster bug fixes. View on HuggingFace →

Pricing behavior
18 price changes in the last 59 daily snapshots
Changes roughly every 6.5 days
Last move (2026-10-19): input +10%
Net input drift: +10% since 2026-08-23

From our own daily snapshot archive — independent of provider announcements.

Intelligence & capability
via Artificial Analysis
18.5
Intelligence index · top 56% of 288 scored
45.8
Coding index
$0.9625
Blended $/1M (3:1 in:out)

Intelligence measures reasoning/knowledge/coding benchmarks. A high score with a low blended price = value pick; check the value chart to see where this model lands.

Input / 1M tokens
$0.550
Output / 1M tokens
$2.20
Context window
205K
Max output
131K

Token economics

Token typePricevs base input
Standard input$0.550—
Cache read$0.110−80%
Output$2.20—

Prompt caching stores repeated context server-side: reads cost far less, but writes carry a one-time premium.

Reasoning behavior
Mode: Off by default (opt-in)

Higher effort = deeper thinking = more reasoning tokens billed as output.

Knowledge cutoff
2025-03-31

Training data ends here — newer events require retrieval or web search.

What would Z.ai: GLM 4.6 cost you per month?

WorkloadRequests/moAvg tokens (in/out)Est. monthly cost
Light chatbot10,000800 / 400$13.20
Coding agent5,0008,000 / 2,000$44.00
RAG pipeline30,0004,000 / 500$99.00
Doc summarizer2,00020,000 / 1,000$26.40

Estimates use list prices without prompt caching. Caching can cut input cost by up to 90% on repeated context.

About Z.ai: GLM 4.6

Compared with GLM-4.5, this generation brings several key improvements: Longer context window: The context window has been expanded from 128K to 200K tokens, enabling the model to handle more complex...

Compare Z.ai: GLM 4.6 with

Popular head-to-heads — see all on the comparisons index.

Frequently asked questions

How much does Z.ai: GLM 4.6 cost?

Z.ai: GLM 4.6 costs $0.550 per 1M input tokens and $2.20 per 1M output tokens; cached input tokens cost $0.110 per 1M. Verified 2026-10-21 — provider source.

What is the context window?

205K tokens, with up to 131K output tokens per response. That's roughly 256 pages of text in a single request.

Does it support prompt caching?

Yes — cached input is $0.110/1M, about 80% cheaper than standard input. Agents and RAG workloads with repeated context benefit most.

What's a cheaper alternative?

ScaleDown: Summarize saves about 97% on a typical workload with comparable quality.

Official resources