Comparisons

Kimi K3 vs Claude Sonnet 5

On provider list prices, Kimi K3 costs $3 per million input tokens against $3 for Claude Sonnet 5: effectively level. Output is $15 against $15.

Kimi K3 Claude Sonnet 5
LabMoonshot AIAnthropic
AccessOpen weightsAPI only
Context window1M tokens1M tokens
List price, input$3 / M tokens$3 / M tokens
List price, output$15 / M tokens$15 / M tokens
Cached input$0.3 / M tokensn/a
LicenseNot listedProprietary API
Fine-tunableYesNo

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 $8,850 a month on Kimi K3 and $8,850 on Claude Sonnet 5 at list: a gap of $0.

Kimi K3$3$15
Claude Sonnet 5$3$15
InputOutput

Choose Kimi K3 for

  • Open weights you can fine-tune and own
  • Published cached-input pricing ($0.30 per M tokens)
Kimi K3 details

Choose Claude Sonnet 5 for

  • Judgment calls with policy context
  • Customer-facing writing
  • Review and escalation flows
Claude Sonnet 5 details

Common questions

Which is cheaper, Kimi K3 or Claude Sonnet 5?

Kimi K3, on this workload shape. At list prices it is $3/$15 per million tokens in and out against $3/$15 for Claude Sonnet 5. Billed on Allocate: $3.21/$16.05 against $3.21/$16.05.

Which has the bigger context window?

They match: both read 1,000,000 tokens (1M) per request.

Can I fine-tune Kimi K3 or Claude Sonnet 5?

Kimi K3 publishes open weights (Not listed) and can be fine-tuned on your own data. Claude Sonnet 5 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.