Kimi K2.6
moonshot/kimi-k2-6Long-context generalist, 262K. Sourceable through Webparam on request; not provisioned on this account yet.
262K ctx · R16.6 in · R72.7 out
Long-context agentic intelligence (Kimi)
Models
5
Founded
2023
Country
China
Beijing
Moonshot AI has been building models out of Beijing, China, since 2023. Webparam tracks five of its models, spanning language, reasoning and vision: priced from R0.00 to R62.30 per million input and reaching 1.05M. Two of them ship with .
Popular models
The three highest-usage models from this lab on Webparam.
moonshot/kimi-k2-6Long-context generalist, 262K. Sourceable through Webparam on request; not provisioned on this account yet.
262K ctx · R16.6 in · R72.7 out
moonshot/kimi-k3The current Kimi flagship, with a 1.05M context. Sourceable through Webparam on request; not provisioned on this account yet.
1.05M ctx · R62.3 in · R311 out
moonshot/kimi-k2Moonshot's open agentic flagship, long-context stamina and tool use that holds up across extended sessions.
256K ctx · Price on request
Full catalogue
Sorted by weekly usage. Choose any column header to reorder.
| Category | Output $/1M | Actions | ||||
|---|---|---|---|---|---|---|
Kimi K2.6moonshot/kimi-k2-6 | Language | 262K | R16.60 | R72.70 | ||
Kimi K3moonshot/kimi-k3 | Language | 1.05M | R62.30 | R311.00 | ||
Kimi K2moonshot/kimi-k2 | Language | 256K | R0.00Free tier | — | ||
Kimi K2 Thinkingmoonshot/kimi-k2-thinking | Reasoning | 256K | R0.00Free tier | — | ||
Kimi VLmoonshot/kimi-vl | Vision | 128K | R0.00Free tier | — |
Recent releases
Moonshot's Kimi line made long context its signature, and its K2 generation paired that with serious agentic tool use, released with open weights. The lab moves fast and publishes aggressively, making Kimi one of the most-watched model families in the ecosystem.
Moonshot's Kimi line made long context its signature, and its K2 generation paired that with serious agentic tool use, released with open weights. The lab moves fast and publishes aggressively, making Kimi one of the most-watched model families in the ecosystem.
Every model above is callable through one OpenAI-compatible convention: change the model ID, keep the request.
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