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).
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.
Choose Gemini 3.5 Flash for
- High-volume support and triage
- Document extraction at scale
- Vision and OCR pipelines
Choose Kimi K2.5 for
- Whole-document reasoning
- Long-context retrieval
- Open-weight fine-tuning
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.