MoonshotAI: Kimi K2.7 Code.
Kimi K2.7 Code is a modified-MIT coding agent model, 1T total and 32B active, with image and text input and a 256K context, built on Kimi K2.6.
4× AMD MI300X · $2.00/hr.
Most-aggressive quantisation we have a working recommendation for. Lower precision = less VRAM = cheaper hardware, at a small accuracy cost.
Cheapest hosted endpoints.
Variants in the Kimi family.
Moonshot's frontier open-weight MoE — 1T total, 32B active.
Moonshot's open-weight reasoning variant — extended chain-of-thought training...
Multimodal agentic variant — adds a vision encoder to the K2 backbone.
Long-horizon coding + autonomous-execution upgrade over K2.5.
Kimi K3 is Moonshot AI's open-weight multimodal agentic model, 2.8T parameter...
Kimi K3.1 Pro is Moonshot AI's flagship open-weight multimodal reasoning mode...
Kimi K2 0905 is a modified-MIT mixture-of-experts model, 1T total and 32B act...
Cheapest hardware per quantisation.
Each row is one quantisation tier (the same weights compressed differently). Lower precision → lower VRAM → cheaper hardware, at the cost of small accuracy loss. $/hr refreshed hourly from each provider's API.
| Quantisation | Cheapest GPU config | Total VRAM | Live $/hr | tokens/sec | |
|---|---|---|---|---|---|
|
FP8
FP8 — 8-bit float (Hopper / Blackwell)
|
1536 GB | $4.00/hr | — | Compare → | |
|
INT4
INT4 — 4-bit integer (~4× VRAM saving)
|
768 GB | $2.00/hr | — | Compare → |
What it costs per month across providers.
Estimate your monthly bill for MoonshotAI: Kimi K2.7 Code across every host that publishes per-token pricing. Slide your token volumes; the chart + table re-rank cheapest-first.
Cheapest provider on the left.
Total monthly cost — input + output tokens combined.
Bill breakdown.
Rent the GPU instead of paying per token.
For an open-weights model like MoonshotAI: Kimi K2.7 Code, you can rent a GPU and serve inference yourself. The math: cheapest GPU rental × 730 hours/month + your electricity rate × power draw.
Assumes the GPU runs 24/7 at ~85% utilisation. If your traffic is bursty, you'll pay less for the API and probably more for the GPU (idle hours still cost rental). The breakeven analysis lives on the Self-host vs API breakeven tool.
About MoonshotAI: Kimi K2.7 Code.
Kimi K2.7 Code is a coding-focused agentic model from Moonshot AI, built on Kimi K2.6, with open weights under a modified MIT licence. It is a mixture-of-experts model with 1T parameters in total and 32B active, plus a 400M vision encoder, so it takes images as well as text. Context length is 256K tokens. Moonshot aims it at long software engineering tasks carried through to the end, and says it spends fewer thinking tokens than K2.6.