AllocateGemini 3.1 Pro vs Kimi K3
On provider list prices, Gemini 3.1 Pro costs $2 per million input tokens against $3 for Kimi K3: 1.5x apart. Output is $12 against $15 (1.3x).
Gemini 3.1 Pro
Kimi K3Specifications 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 $6,600 a month on Gemini 3.1 Pro and $8,850 on Kimi K3 at list: a gap of $2,250, or 1.3x.
Choose Gemini 3.1 Pro for
- Judgment-heavy workflows
- Long-context analysis
- Escalation tier above Flash
Choose Kimi K3 for
- Open weights you can fine-tune and own
- Published cached-input pricing ($0.30 per M tokens)
Common questions
Which is cheaper, Gemini 3.1 Pro or Kimi K3?
Gemini 3.1 Pro, on this workload shape. At list prices it is $2/$12 per million tokens in and out against $3/$15 for Kimi K3. Billed on Allocate: $2.14/$12.84 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 Gemini 3.1 Pro or Kimi K3?
Kimi K3 publishes open weights (Not listed) and can be fine-tuned on your own data. Gemini 3.1 Pro 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.