Comparisons

GLM 5.1 FP4 vs GLM 5.2

On provider list prices, GLM 5.1 FP4 costs $1.40 per million input tokens against $1.40 for GLM 5.2: effectively level. Output is $4.40 against $4.40. On Allocate both bill at list plus the 7% transaction fee.

G GLM 5.1 FP4G GLM 5.2
LabZai OrgZai Org
AccessOpen weightsOpen weights
Context window198K tokens256K tokens
List price, input$1.4 / M tokens$1.4 / M tokens
List price, output$4.4 / M tokens$4.4 / M tokens
Cached input$0.26 / M tokens$0.26 / M tokens
LicenseNot listedNot listed
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 $3,220 a month on GLM 5.1 FP4 and $3,220 on GLM 5.2 at list: a gap of $0.

GLM 5.2 reads 256K tokens per request against 198K for GLM 5.1 FP4, 1.3x the window. That decides which one can take whole documents without splitting them.

GLM 5.1 FP4$1.40$4.40
GLM 5.2$1.40$4.40
InputOutput

Choose GLM 5.1 FP4 for

  • Training toward a model you own
GLM 5.1 FP4 details

Choose GLM 5.2 for

  • Agents on open weights
  • Code and structured outputs
  • Fine-tuning toward an owned model
GLM 5.2 details

Common questions

Which is cheaper, GLM 5.1 FP4 or GLM 5.2?

GLM 5.1 FP4, on this workload shape. At list prices it is $1.40/$4.40 per million tokens in and out against $1.40/$4.40 for GLM 5.2. Billed on Allocate: $1.50/$4.71 against $1.50/$4.71, list plus 7%.

Which has the bigger context window?

GLM 5.2: 262,144 tokens (256K) against 202,752 (198K) for GLM 5.1 FP4.

Can I fine-tune GLM 5.1 FP4 or GLM 5.2?

Both publish open weights (GLM 5.1 FP4: Not listed; GLM 5.2: Not listed), 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.