Models / Kimi K2 / Calculator

Kimi K2 cost & VRAM calculator

What does Kimi K2 cost to run for your workload, and can you run it on your own hardware? Set your workload below - we compute per-provider API cost live and tell you honestly whether local hardware can run it.

LOCAL ISN'T PRACTICAL

This is where owning stops making sense

Kimi K2 is a 1000-billion-parameter model. No rig an individual can buy runs it - so unlike a workstation GPU model, there's no break-even to compute. The honest answer for nearly everyone is the per-provider API cost below.

1T total params, MoE. Requires ~600GB for Q4. Cloud-only for most users.

Your workload

Casual Power user Team of 5 Codebase task

Kimi K2 runs an always-on thinking mode. Reasoning (thinking) tokens are billed at the output rate ($15.00/M), so count them here to see the thinking portion of your bill.

API cost for your workload

Provider Rate ($/1M) Monthly cost
Novita $0.57 in · $2.30 out $0.01 cheapest
Together AI may be stale $14.00 in · $14.00 out $0.34

Monthly cost is an estimate from list prices and your workload - verify against the provider before committing. Cached fraction applies the cache rate to that share of input.

Can you run it locally?

NO - NO INDIVIDUAL RIG RUNS IT

Kimi K2 has no published quantization that fits a rig one person can buy, so there's no local-hardware recommendation and no break-even to compute. The honest answer is the per-provider API cost above.

1T total params, MoE. Requires ~600GB for Q4. Cloud-only for most users.

See the model card for the full architecture notes and any cloud subscription plans.

Full model card API pricing table Generic token calculator