Comparisons

Grok Build 0.1 vs GLM 4.6 Fp8

On provider list prices, GLM 4.6 Fp8 costs $0.60 per million input tokens against $1 for Grok Build 0.1: 1.7x apart. Output is $2.20 against $2.

Grok Build 0.1G GLM 4.6 Fp8
LabSpaceXAIZai Org
AccessAPI onlyOpen weights
Context window256K tokens198K tokens
List price, input$1 / M tokens$0.6 / M tokens
List price, output$2 / M tokens$2.2 / M tokens
Cached input$0.2 / M tokensn/a
LicenseProprietary APIMIT
Fine-tunableNoYes

Specifications and provider list prices from the Allocate catalog, checked 2026-07-21.

What the numbers say

Take 1,000,000 requests a month at 1,200 input and 350 output tokens each. That workload costs $1,490 a month on GLM 4.6 Fp8 and $1,900 on Grok Build 0.1 at list: a gap of $410, or 1.3x.

Grok Build 0.1 reads 256K tokens per request against 198K for GLM 4.6 Fp8, 1.3x the window. That decides which one can take whole documents without splitting them.

GLM 4.6 Fp8$0.60$2.20
Grok Build 0.1$1$2
InputOutput

Choose Grok Build 0.1 for

  • The longer context window (256K vs 198K tokens)
  • Published cached-input pricing ($0.20 per M tokens)
Grok Build 0.1 details

Choose GLM 4.6 Fp8 for

  • The lower list price ($0.60 in / $2.20 out per M tokens)
  • Open weights you can fine-tune and own
  • Fine-tuning under a permissive license (MIT)
GLM 4.6 Fp8 details

Common questions

Which is cheaper, Grok Build 0.1 or GLM 4.6 Fp8?

GLM 4.6 Fp8, on this workload shape. At list prices it is $0.60/$2.20 per million tokens in and out against $1/$2 for Grok Build 0.1. Billed on Allocate: $0.64/$2.35 against $1.07/$2.14.

Which has the bigger context window?

Grok Build 0.1: 256,000 tokens (256K) against 202,752 (198K) for GLM 4.6 Fp8.

Can I fine-tune Grok Build 0.1 or GLM 4.6 Fp8?

GLM 4.6 Fp8 publishes open weights (MIT) and can be fine-tuned on your own data. Grok Build 0.1 is a closed model served over API; its weights are not available.

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.