Skip to content
CostPerPrompt

GLM 4.6V API Pricing

Z.ai (GLM) · context window 131K · prices updated 2026-08-02

Input per 1M tokens
$0.3
Output per 1M tokens
$0.9
Cached input per 1M
$0.055
82% cheaper than fresh input

What real workloads cost on GLM 4.6V

Workload Per request Per month
1K short requests/day (500 in / 150 out) $0.0003 $8.55
Support chatbot, 500 convs/day (~5K in / 1.4K out per conv) $0.0028 $41.40
Document pipeline, 10K docs/day (3K in / 500 out) $0.0014 $405

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

Cheaper alternatives

DeepSeek V4 Pro DeepSeek $0.435 in · $0.87 out GLM 4.5 Air Z.ai (GLM) $0.13 in · $0.85 out Qwen3 Coder Next Alibaba (Qwen) $0.12 in · $0.8 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 4.6V API cost?

GLM 4.6V costs $0.3 per million input tokens and $0.9 per million output tokens, with cached input at $0.055 per million (82% cheaper). In practice, a typical short request (500 tokens in, 150 out) costs about $0.0003.

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

At 500 input + 150 output tokens per request, 1,000 requests/day costs about $8.55 per month. Heavier workloads scale linearly — use our API cost calculator to model your exact traffic.

› How can I reduce GLM 4.6V costs?

Three levers, in order of impact: (1) route routine requests to a cheaper tier and keep GLM 4.6V for hard cases; (2) enable prompt caching — cached input is 82% cheaper, which typically halves chatbot bills; (3) use the batch API for non-urgent jobs at a ~50% discount.

› Is GLM 4.6V 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.