GPT-5.6 Luna vs Kimi K2.8 Preview

A side-by-side comparison of GPT-5.6 Luna and Kimi K2.8 Preview: input/output pricing, capabilities and available endpoints, served live from J8API. Both are reachable with the same API key.

Pricing comparison

ItemGPT-5.6 LunaKimi K2.8 Preview
Input (per 1M tokens)$0.13$0.55
Output (per 1M tokens)$0.78$2.2
Cache read explicit (per 1M tokens)$0.013$0.1375
Cache write 5m (per 1M tokens)$0.1625

Specifications

ItemGPT-5.6 LunaKimi K2.8 Preview
Context window922,0001,048,576
Max output128,000131,072

Capability comparison

ItemGPT-5.6 LunaKimi K2.8 Preview
function_callingYesYes
prompt_cachingYesYes
reasoningYes
visionYes
web_searchYes

Which should you pick

Which is cheaper, GPT-5.6 Luna or Kimi K2.8 Preview?

On input, GPT-5.6 Luna is cheaper ($0.13 vs $0.55 per 1M tokens). On output, GPT-5.6 Luna is cheaper ($0.78 vs $2.2 per 1M tokens). All prices are per million tokens in USD.

Which has the larger context window, GPT-5.6 Luna or Kimi K2.8 Preview?

Kimi K2.8 Preview does — GPT-5.6 Luna accepts 922,000 input tokens and Kimi K2.8 Preview accepts 1,048,576.

What can GPT-5.6 Luna do that Kimi K2.8 Preview cannot?

both support function_calling, prompt_caching; only GPT-5.6 Luna supports vision; only Kimi K2.8 Preview supports reasoning, web_search.

Can I switch between GPT-5.6 Luna and Kimi K2.8 Preview without changing my code?

Yes. Both are available on J8API through one API key and the same OpenAI-compatible endpoint — switching means changing the model field from "gpt-5.6-luna" to "kimi-k2.8-preview", nothing else.

Both are available on J8API under one API key — switching between them means changing the model field and nothing else, so you can use each where it fits rather than picking one.

GPT-5.6 Luna · Kimi K2.8 Preview · All models