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CostPerPrompt

GLM 4.6 API Pricing

Z.ai (GLM) · context window 205K · prices updated 2026-10-30

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

Where GLM 4.6 sits on price

At $2.00 per million output tokens, GLM 4.6 is a mid tier model — right at the median output price of $2.20, which puts it cheaper than 55% and pricier than 45% of the models we track. It sits 9th cheapest of the 18 Z.ai (GLM) models we track. Output costs 4.0× input, the usual spread — trim both, starting with the answer length.

Output tokens per $1
500,000
One full context fill
$0.1024
Cheaper than
55% of tracked models

Cached input is 80% cheaper. On an input-heavy workload you need roughly a 31% 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 4.6

These three workloads are the ones teams actually run on a mid-priced model — a $2.00/1M 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. $0.0053 $79.50
Document pipeline — 10K docs/day (3K in / 500 out) Batch-friendly: no user waiting, so a ~50% batch discount usually applies. $0.0025 $750
Small app — 1K requests/day (500 in / 150 out) The baseline most side projects actually run at. $0.0005 $16.50

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

GLM 4.6 price history

Z.ai (GLM) last cut GLM 4.6's output price on Oct 29, 2026 (-9% per output token), from $0.55/$2.20 to $0.5/$2.00 per 1M in/out. That is one of 14 repricings in the 89 days we have tracked it — worth knowing before you hard-code today's rate into a budget.

Date Input /1M Output /1M Output change
Aug 2, 2026 (tracking began) $0.5 $2.00 —
Aug 11, 2026 $0.55 $2.20 +10%
Aug 13, 2026 $0.5 $2.00 -9%
Aug 14, 2026 $0.55 $2.20 +10%
Aug 21, 2026 $0.5 $2.00 -9%
Aug 28, 2026 $0.43 $1.75 -12%
Sep 3, 2026 $0.55 $2.20 +26%
Sep 7, 2026 $0.43 $1.75 -20%
Sep 8, 2026 $0.55 $2.20 +26%
Sep 9, 2026 $0.43 $1.75 -20%
Sep 17, 2026 $0.5 $2.00 +14%
Sep 18, 2026 $0.43 $1.75 -12%
Oct 10, 2026 $0.5 $2.00 +14%
Oct 19, 2026 $0.55 $2.20 +10%
Oct 29, 2026 $0.5 $2.00 -9%

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

GLM 4.6 vs Devstral 2 2512

The closest-priced alternative from another vendor is Devstral 2 2512 (Mistral) — priced within a rounding error on output, with $0.1 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 Devstral 2 2512 pricing →

Cheaper alternatives

More Z.ai (GLM) models

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). That works out to roughly 500,000 output tokens per dollar.

› What does the support chatbot workload cost on GLM 4.6?

Support chatbot — 500 conversations/day (5K in / 1.4K out) costs about $0.0053 per request and $79.50 per month on GLM 4.6. Conversation history re-sent each turn — the classic prompt-caching win.

› What does it cost to fill GLM 4.6's 205K context window?

Sending 205K of input in a single request costs $0.1024 at $0.5 per million tokens — before any output. With prompt caching that same fill drops to about $0.0205 on repeat requests. This is why large context windows are cheap to advertise and expensive to actually use.

› Is GLM 4.6 worth the price?

GLM 4.6 sits in the middle of the market (9 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.