Comparisons

Gemini 3.5 Flash vs Kimi K2.5

On provider list prices, Kimi K2.5 costs $0.50 per million input tokens against $1.50 for Gemini 3.5 Flash: 3.0x apart. Output is $2.80 against $9 (3.2x).

Gemini 3.5 Flash Kimi K2.5
LabGoogleTogethercomputer
AccessAPI onlyOpen weights
Context window1M tokens256K tokens
List price, input$1.5 / M tokens$0.5 / M tokens
List price, output$9 / M tokens$2.8 / M tokens
Cached inputn/an/a
LicenseProprietary APINot listed
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 $1,580 a month on Kimi K2.5 and $4,950 on Gemini 3.5 Flash at list: a gap of $3,370, or 3.1x.

Gemini 3.5 Flash reads 1M tokens per request against 256K for Kimi K2.5, 3.8x the window. That decides which one can take whole documents without splitting them.

Kimi K2.5$0.50$2.80
Gemini 3.5 Flash$1.50$9
InputOutput

Choose Gemini 3.5 Flash for

  • High-volume support and triage
  • Document extraction at scale
  • Vision and OCR pipelines
Gemini 3.5 Flash details

Choose Kimi K2.5 for

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

Common questions

Which is cheaper, Gemini 3.5 Flash or Kimi K2.5?

Kimi K2.5, on this workload shape. At list prices it is $0.50/$2.80 per million tokens in and out against $1.50/$9 for Gemini 3.5 Flash. Billed on Allocate: $0.54/$3.00 against $1.60/$9.63.

Which has the bigger context window?

Gemini 3.5 Flash: 1,000,000 tokens (1M) against 262,144 (256K) for Kimi K2.5.

Can I fine-tune Gemini 3.5 Flash or Kimi K2.5?

Kimi K2.5 publishes open weights (Not listed) and can be fine-tuned on your own data. Gemini 3.5 Flash 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.