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Comparisons

Kimi K2.6 Fp4 vs GLM 5.2

On provider list prices, Kimi K2.6 Fp4 costs $1.20 per million input tokens against $1.40 for GLM 5.2: 1.2x apart. Output is $4.50 against $4.40. On Allocate both bill at list plus the 7% transaction fee.

Kimi K2.6 Fp4G GLM 5.2
LabMoonshot AIZai Org
AccessOpen weightsOpen weights
Context window256K tokens256K tokens
List price, input$1.2 / M tokens$1.4 / M tokens
List price, output$4.5 / M tokens$4.4 / M tokens
Cached input$0.2 / 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 $3,015 a month on Kimi K2.6 Fp4 and $3,220 on GLM 5.2 at list: a gap of $205.

Kimi K2.6 Fp4$1.20$4.50
GLM 5.2$1.40$4.40
InputOutput

Choose Kimi K2.6 Fp4 for

  • The lower list price ($1.20 in / $4.50 out per M tokens)
Kimi K2.6 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, Kimi K2.6 Fp4 or GLM 5.2?

Kimi K2.6 Fp4, on this workload shape. At list prices it is $1.20/$4.50 per million tokens in and out against $1.40/$4.40 for GLM 5.2. Billed on Allocate: $1.28/$4.82 against $1.50/$4.71, list plus 7%.

Which has the bigger context window?

They match: both read 262,144 tokens (256K) per request.

Can I fine-tune Kimi K2.6 Fp4 or GLM 5.2?

Both publish open weights (Kimi K2.6 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

Kimi K2.6 Fp4 vs GLM 5.1 FP4GLM 5.2 vs GLM 5.1 FP4GLM 5.2 vs Kimi K2.7 CodeGLM 5.2 vs GLM 4.7 FP8GLM 5.2 vs Deepseek V4 ProGLM 5.2 vs Qwen3.7 Max

Run the numbers on your workload

LLM price comparisonAgent cost calculatorKimi K2.6 Fp4GLM 5.2

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.

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