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Kimi K3 API: pricing, base URL and quick setup

Kimi K3 is available on A2Agent as kimi-k3 at $3.00 per 1M input tokens, with a 1M context window, through one OpenAI-compatible endpoint. Moonshot work that genuinely needs a 1M window and reads images.

Specifications and pricing

Model idkimi-k3
PlatformMoonshot
Context window1M
Tagged forchat, vision
Discount
Input / 1M tokens$3.00
Output / 1M tokens$15.00

Prices synced with platform billing (USD per 1M tokens).

Quick setup

curl https://a2agent.me/v1/chat/completions \
  -H "content-type: application/json" \
  -H "authorization: Bearer sk-your-a2agent-key" \
  -d '{
    "model": "kimi-k3",
    "messages": [{"role": "user", "content": "Reply with OK"}]
  }'

Using it from a coding client

Worth it when a single prompt has to hold an entire repository or a long document set. Cap the response length in your client, because the $15.00 output rate is where a 1M session gets expensive.

How it compares within its family

K3 is the top of the Moonshot line here and the only one with a 1M context. K2.5, K2.6 and K2.7 Code all stop at 256K. It is priced to match, at $3.00 per million input tokens and $15.00 output, against $0.95 and $4.00 for K2.6. That is roughly three times the input rate and close to four times the output rate, which makes the output side the one to watch. A chatty agent on K3 burns money faster than a long prompt does. It reads images like the rest of the K2.x chat models. The honest test before choosing it: if your prompts fit inside 256K, K2.6 gives you the same modality for a fraction of the cost.

Other models on this platform

Questions

What is the context window?

1M tokens, four times the 256K of every other Moonshot model sold here.

Why is it so much more expensive?

It lists at $3.00 input and $15.00 output against $0.95 and $4.00 for K2.6. The window is the visible difference; the output rate is where the gap really shows.

Does it read images?

Yes, it carries the vision tag alongside chat.

When should I stay on K2.6 instead?

Whenever the prompt fits in 256K. Same modality, roughly a third of the input rate and a quarter of the output rate.

Trial credit on sign-up, billed per token, no minimum spend.