GLM-5.2 pricing.

prices as of · 1 providers · 1 prices

Z.ai's GLM-5.2 holds 1M tokens of context and has a reasoning mode. Open weights, so anyone may host it, which is why the prices below differ so much.

GLM-5.2 costs $1.40 in and $4.40 out per million tokens from Mistral AI, and no provider goes below it with a reason we can point at.

tool callingreasoningstructured outputopen weights1M contextreleased 13 Jun 2026

Mistral AI list price

$8.60/M tokens

$1.40 in · $4.40 out

read · 142% above the market median

Cheapest price we can explain

no price

Nobody goes below Mistral AI's price for a reason we can point at, so the list price is the one to beat. Every other price is below.

What it costs for your work

pages a month

Mistral AI list price

$1.10a month

cheapest we can explain

none

difference

no list price

A page is about 600 tokens in and 60 out, a support reply 200 in and 300 out, an email 150 in and 250 out. Nothing else is counted: no cache discount, no batch rate, no free tier.

Every provider selling GLM-5.2

Four groups, decided by the price and by what the provider publishes about it. Prices are per million tokens, and the share is that row against Mistral AI's price. Z.ai trained GLM-5.2 and sells it on no catalog we read, so the price every row is measured against is Mistral AI's.

Same price as the maker

1 price

The same price the maker charges, sold by someone else.

Frequently asked

Who sells GLM-5.2 cheapest?
No provider sells GLM-5.2 below Mistral AI's price with a reason we can point at. 1 providers sell it at or above list, and those prices are all on this page.
Is GLM-5.2 open weights?
Yes. Z.ai publishes the weights, so anyone may host GLM-5.2, which is why 1 providers sell it and why their prices differ so much.
How much context does GLM-5.2 hold?
1,000,000 tokens in one call, which is about 1M, and it can call your own functions.
How does GLM-5.2 compare with the rest of the market?
At $8.60 per million tokens, Mistral AI's price is 142% above the $3.55 median across the 337 text models we track.
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