Comparisons

Kimi K2.5 vs Kimi K2.7 Code

On provider list prices, Kimi K2.5 costs $0.50 per million input tokens against $0.95 for Kimi K2.7 Code: 1.9x apart. Output is $2.80 against $4 (1.4x). On Allocate both bill at list plus the 7% transaction fee.

Kimi K2.5 Kimi K2.7 Code
LabTogethercomputerMoonshot AI
AccessOpen weightsOpen weights
Context window256K tokens256K tokens
List price, input$0.5 / M tokens$0.95 / M tokens
List price, output$2.8 / M tokens$4 / M tokens
Cached inputn/a$0.19 / 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 $1,580 a month on Kimi K2.5 and $2,540 on Kimi K2.7 Code at list: a gap of $960, or 1.6x.

Kimi K2.5$0.50$2.80
Kimi K2.7 Code$0.95$4
InputOutput

Choose Kimi K2.5 for

  • Whole-document reasoning
  • Long-context retrieval
  • Open-weight fine-tuning
Kimi K2.5 details

Choose Kimi K2.7 Code for

  • Published cached-input pricing ($0.19 per M tokens)
Kimi K2.7 Code details

Common questions

Which is cheaper, Kimi K2.5 or Kimi K2.7 Code?

Kimi K2.5, on this workload shape. At list prices it is $0.50/$2.80 per million tokens in and out against $0.95/$4 for Kimi K2.7 Code. Billed on Allocate: $0.54/$3.00 against $1.02/$4.28, list plus 7%.

Which has the bigger context window?

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

Can I fine-tune Kimi K2.5 or Kimi K2.7 Code?

Both publish open weights (Kimi K2.5: Not listed; Kimi K2.7 Code: 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.