MOONSHOT AI · SERVERLESS AND DEDICATED · COMING SOON
kimi-k3
Moonshot's flagship reasoning model with a 1,000,000-token context window, served streamed byte for byte.
1M
TOKEN CONTEXT
$2.10
INPUT, PER MILLION
$10.50
OUTPUT, PER MILLION
Streamed
BYTE FOR BYTE, NO BUFFER
Overview
kimi-k3 is Moonshot AI's flagship open-weight reasoning model, and the largest-context model in the Nyx catalog. The full 1,000,000-token window arrives on serverless with no separate SKU and no long-context surcharge: tokens are the unit whether the prompt is four hundred tokens or nine hundred thousand. Capacity is being provisioned now.
The window is what makes it the default choice for agent workloads: long sessions that accumulate tool output, file contents, and conversation history without summarizing away the details. Prefill runs in slices interleaved with decode, so a million-token prompt cannot park in front of a short one.
Serving on Nyx
Tokens will stream byte for byte the moment the model produces them, with nothing buffering chunks between the engine and your socket. Past declared capacity Nyx returns 429 immediately with a Retry-After header instead of queueing your request into a timeout.
The engine's prefix cache carries across turns, which removes 31 percent of prefill work on agent traces. Dedicated pods are available for pinned capacity with guaranteed throughput at a flat hourly price.
OUTPUT PRICE · $/M · LOWER IS BETTER
Independent harness · run weekly · streamed
# OpenAI-compatible: swap the base URL
curl https://api.nyxprovider.com/v1/chat/completions \
-H "Authorization: Bearer $NYX_API_KEY" \
-d '{
"model": "kimi-k3",
"stream": true,
"messages": [{"role": "user",
"content": "Read the attached repo and plan the migration."}]
}'