What is the context window?
1M tokens, four times the 256K of every other Moonshot model sold here.
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.
| Model id | kimi-k3 |
|---|---|
| Platform | Moonshot |
| Context window | 1M |
| Tagged for | chat, vision |
| Discount | … |
| Input / 1M tokens | $3.00 |
| Output / 1M tokens | $15.00 |
Prices synced with platform billing (USD per 1M tokens).
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"}]
}'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.
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.
1M tokens, four times the 256K of every other Moonshot model sold here.
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.
Yes, it carries the vision tag alongside chat.
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.