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Thinking Machines
thinkingmachines/inklingCatalogue: 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.
Thinking Machines thinkingmachines/inkling
Inkling is an open-weight multimodal mixture-of-experts model from Thinking Machines Lab, with 41B active parameters out of 975B total. It is designed for general-purpose reasoning, coding, agentic and tool-use systems,...
Inkling 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 $1.00 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 Inkling
targets:
- id: inkling
kind: llm
name: Inkling
metadata:
model: thinkingmachines/inkling # links the target to this catalogue entry
capabilities:
domains: [general]
supports_tools: true
context_window: 524288
cost:
usd_per_1k_tokens: 0.002525Input list price per million tokens; Inkling is the most expensive of 4 listed.
Other models by the same vendor in the catalogue.
Photo: RDNE Stock project
Cached input reads $0.17 per 1M · weights on Hugging Face as thinkingmachines/Inkling
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.
