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Moonshot AI
moonshotai/kimi-k3:batchCatalogue: Indexed in the reference catalogue; nothing on this deployment answers as this model yet.
Published by the vendor; the platform bills at the target's declared price.
Moonshot AI moonshotai/kimi-k3:batch
Kimi K3 is a 2.8T parameter open-weight multimodal reasoning model from Moonshot AI. It is suited for complex coding, knowledge work, and long-horizon agentic workflows, and is particularly strong at...
Kimi K3 (batch) earns a request when it needs step-by-step reasoning, tool calls, very long inputs; a short, general request would go to MiniMax M3.1 Flash (free) instead - free per million input tokens against $2.28 here; and the hardest requests, where the quality floor rules it out, to Claude Opus 5.5 (batch). Your rules decide the floor; the trace shows the comparison for every request.
Lower input price and an intelligence index within 5 points.
Nothing on this deployment answers as this model yet. Connect your own provider under Model providers, or add a target to your catalogue - the router picks it up without retraining.
# targets.yaml - declare a target that runs Kimi K3 (batch)
targets:
- id: kimi-k3-batch
kind: llm
name: Kimi K3 (batch)
metadata:
model: moonshotai/kimi-k3:batch # links the target to this catalogue entry
capabilities:
domains: [general]
supports_tools: true
context_window: 1048576
cost:
usd_per_1k_tokens: 0.006840Input list price per million tokens; Kimi K3 (batch) is the most expensive of 9 listed.
Other models by the same vendor in the catalogue.
Photo: RDNE Stock project
Cached input reads $0.23 per 1M · weights on Hugging Face as moonshotai/Kimi-K3
A higher intelligence index, best first, with the price it comes at.
The catalogue prints input and output prices and what three typical monthly workloads cost on each.