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CostPerPrompt

GLM 4.6 API Pricing

Z.ai (GLM) · context window 205K · prices updated 2026-08-02

Input per 1M tokens
$0.5
Output per 1M tokens
$2.00
Cached input per 1M
$0.1
80% cheaper than fresh input

What real workloads cost on GLM 4.6

Workload Per request Per month
1K short requests/day (500 in / 150 out) $0.0005 $16.50
Support chatbot, 500 convs/day (~5K in / 1.4K out per conv) $0.0053 $79.50
Document pipeline, 10K docs/day (3K in / 500 out) $0.0025 $750

Model your exact traffic in the API cost calculator — it preloads GLM 4.6 with caching and batch options.

Cheaper alternatives

Qwen3.6 Plus Alibaba (Qwen) $0.325 in · $1.95 out Qwen3 VL 235B A22B Instruct Alibaba (Qwen) $0.21 in · $1.90 out Qwen3 235B A22B Alibaba (Qwen) $0.455 in · $1.82 out

More Z.ai (GLM) models

GLM 5V Turbo GLM 5 Turbo GLM 5.1 GLM 5

Frequently asked questions

› How much does the GLM 4.6 API cost?

GLM 4.6 costs $0.5 per million input tokens and $2.00 per million output tokens, with cached input at $0.1 per million (80% cheaper). In practice, a typical short request (500 tokens in, 150 out) costs about $0.0005.

› What does 1,000 requests per day cost on GLM 4.6?

At 500 input + 150 output tokens per request, 1,000 requests/day costs about $16.50 per month. Heavier workloads scale linearly — use our API cost calculator to model your exact traffic.

› How can I reduce GLM 4.6 costs?

Three levers, in order of impact: (1) route routine requests to a cheaper tier and keep GLM 4.6 for hard cases; (2) enable prompt caching — cached input is 80% cheaper, which typically halves chatbot bills; (3) use the batch API for non-urgent jobs at a ~50% discount.

› Is GLM 4.6 worth the price?

It depends on task difficulty. Flagship models earn their premium on complex reasoning, coding, and high-stakes output; mini/flash tiers handle classification, extraction and routine chat at 10–30× lower cost. Benchmark a sample of your real workload on both before committing.