Comparisons

GLM 4.5 Air vs Glm 4.5 Air Fp8

On provider list prices, GLM 4.5 Air costs $0.20 per million input tokens against $0.20 for Glm 4.5 Air Fp8: effectively level. Output is $1.10 against $1.10. On Allocate both bill at list plus the 7% transaction fee.

G GLM 4.5 AirG Glm 4.5 Air Fp8
LabZ.aiZai Org
AccessOpen weightsOpen weights
Context window128K tokens128K tokens
List price, input$0.2 / M tokens$0.2 / M tokens
List price, output$1.1 / M tokens$1.1 / M tokens
Cached input$0.03 / M tokensn/a
LicenseMITMIT
Fine-tunableYesYes

Specifications and provider list prices from the Allocate catalog, checked 2026-07-08. Billed price is list plus the 7% transaction fee.

What the numbers say

Take 1,000,000 requests a month at 1,200 input and 350 output tokens each. That workload costs $625 a month on GLM 4.5 Air and $625 on Glm 4.5 Air Fp8 at list: a gap of $0.

GLM 4.5 Air$0.20$1.10
Glm 4.5 Air Fp8$0.20$1.10
InputOutput

Choose GLM 4.5 Air for

  • Fine-tuning under a permissive license (MIT)
  • Published cached-input pricing ($0.03 per M tokens)
GLM 4.5 Air details

Choose Glm 4.5 Air Fp8 for

  • Fine-tuning under a permissive license (MIT)
Glm 4.5 Air Fp8 details

Common questions

Which is cheaper, GLM 4.5 Air or Glm 4.5 Air Fp8?

GLM 4.5 Air, on this workload shape. At list prices it is $0.20/$1.10 per million tokens in and out against $0.20/$1.10 for Glm 4.5 Air Fp8. Billed on Allocate: $0.21/$1.18 against $0.21/$1.18, list plus 7%.

Which has the bigger context window?

They match: both read 131,072 tokens (128K) per request.

Can I fine-tune GLM 4.5 Air or Glm 4.5 Air Fp8?

Both publish open weights (GLM 4.5 Air: MIT; Glm 4.5 Air Fp8: MIT), so both can be fine-tuned. On Allocate the trained weights stay inside your boundary and belong to you.

Related comparisons

Run the numbers on your workload

Or don’t choose. On Allocate a route name is the contract: point yours at one model today, swap to the other tomorrow, and compare them on your live traffic with per-token metering.