Models

kimi-k2.8-preview — API, Pricing & Context Window | Vivgrid

kimi-k2.8-preview on Vivgrid: Moonshot AI's efficient coding model with a 1M-token context window, adjustable thinking effort, and tool calling — at a fraction of kimi-k3's price.

kimi-k2.8-preview is Moonshot AI's efficient coding model, released in September 2026. It brings the Kimi family's 1M-token context window to a mid-tier price point — $1.00 per 1M input tokens, $0.26 cached, and $4.15 output — roughly a third of what kimi-k3 costs, while keeping repository-scale context.

Its defining feature is adjustable thinking effort. Dial reasoning down for routine edits and up for hard problems, so you pay for deep reasoning only when a task needs it.

Vivgrid serves kimi-k2.8-preview through the unified, OpenAI-compatible Chat Completions API (/chat/completions), so you can route Moonshot alongside OpenAI, Anthropic, and Google models with one API key and one bill.

Specifications

ProviderMoonshot AI
Model IDkimi-k2.8-preview
Best forCoding
Context window1,000,000 tokens
ModalitiesText, Image
Tool / function callingYes
Knowledge cutoff
Acceleration🌐 Global (Centralized)

Pricing

Pricing in USD per 1M tokens, matching the provider's rates.

InputCached inputOutput
$1.00$0.26$4.15

Quick start

Call kimi-k2.8-preview through Vivgrid's unified, OpenAI-compatible endpoint. Get an API key from the Vivgrid Console.

curl https://api.vivgrid.com/v1/chat/completions \
  -H "Authorization: Bearer $VIVGRID_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "kimi-k2.8-preview",
    "messages": [
      { "role": "user", "content": "Say hello in English, Chinese and Spanish." }
    ],
    "stream": true
  }'

Ideal use cases

  • High-volume coding agents where kimi-k3 is more model than the task needs
  • Long-context refactoring and repository-scale reading on a budget
  • Tool-calling workflows that mix quick edits with occasional deep reasoning
  • Cost-sensitive fallbacks behind a frontier model
  • kimi-k3 — Moonshot's frontier coding model
  • kimi-k2.6 — the prior Kimi generation, with a 256K max output
  • minimax-m3 — a lower-cost long-context alternative

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