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CostPerPrompt

GLM 4.5V API Pricing

Z.ai (GLM) · context window 66K · prices updated 2026-09-29

Input per 1M tokens
$0.6
Output per 1M tokens
$1.80
Cached input per 1M
$0.11
82% cheaper than fresh input

Where GLM 4.5V sits on price

At $1.80 per million output tokens, GLM 4.5V is a mid tier model — 1.2× cheaper than the median output price of $2.20, which puts it cheaper than 58% and pricier than 42% of the models we track. It sits 8th cheapest of the 18 Z.ai (GLM) models we track. Output is only 3.0× the input price, an unusually flat spread: long prompts hurt about as much as long answers, so prompt size is where the savings are.

Output tokens per $1
555,556
One full context fill
$0.0393
Cheaper than
58% of tracked models

Cached input is 82% cheaper. On an input-heavy workload you need roughly a 30% cache-hit rate to take 25% off the input line — reachable for chatbots and agents that resend the same system prompt and history.

What real workloads cost on GLM 4.5V

These three workloads are the ones teams actually run on a mid-priced model — a $1.80/1M model is not bought for the same job as one ten times the price.

Workload Per request Per month
Support chatbot — 500 conversations/day (5K in / 1.4K out) Conversation history re-sent each turn — the classic prompt-caching win. $0.0055 $82.80
Document pipeline — 10K docs/day (3K in / 500 out) Batch-friendly: no user waiting, so a ~50% batch discount usually applies. $0.0027 $810
Small app — 1K requests/day (500 in / 150 out) The baseline most side projects actually run at. $0.0006 $17.10

Model your exact traffic in the API cost calculator — it preloads GLM 4.5V with caching and batch options.

GLM 4.5V price history

GLM 4.5V's price has not moved since we began tracking it on Aug 2, 2026 — 58 days of stability in a market where 88 of the 353 models we track have repriced over the same period, including 10 of Z.ai (GLM)'s own 18 models.

Change-points from our daily price snapshots (tracking since Aug 2, 2026; intraday moves between snapshots are not captured).

GLM 4.5V vs Qwen3.5 Plus 2026-04-20

The closest-priced alternative from another vendor is Qwen3.5 Plus 2026-04-20 (Alibaba (Qwen)) — priced within a rounding error on output, with $0.3 less per million input tokens. When two models land this close on price, the decision is quality on your own workload, not the price sheet: run 50 real requests through both and compare.

See Qwen3.5 Plus 2026-04-20 pricing →

Cheaper alternatives

More Z.ai (GLM) models

Frequently asked questions

› How much does the GLM 4.5V API cost?

GLM 4.5V costs $0.6 per million input tokens and $1.80 per million output tokens, with cached input at $0.11 per million (82% cheaper). That works out to roughly 555,556 output tokens per dollar.

› What does the support chatbot workload cost on GLM 4.5V?

Support chatbot — 500 conversations/day (5K in / 1.4K out) costs about $0.0055 per request and $82.80 per month on GLM 4.5V. Conversation history re-sent each turn — the classic prompt-caching win.

› What does it cost to fill GLM 4.5V's 66K context window?

Sending 66K of input in a single request costs $0.0393 at $0.6 per million tokens — before any output. With prompt caching that same fill drops to about $0.0072 on repeat requests. This is why large context windows are cheap to advertise and expensive to actually use.

› Is GLM 4.5V worth the price?

GLM 4.5V sits in the middle of the market (8 of 18 by price within Z.ai (GLM)). The honest test is a routing experiment: send the same 200 real requests to this model and to a tier below, and compare failure rate against the price gap — most teams find a majority of traffic never needed the pricier model.