Model Detail
Inkling-Small
—Inkling-Small is a multimodal model with 133.0B parameters released by thinkingmachines. The model is registered under the image-text-to-text pipeline tag on Hugging Face, and supports text+image+audio->text inputs, distributed under the permissive apache-2.0 license.
Inkling-Small is priced at $0.5/M input tokens and $1.2/M output tokens. Operationally the model offers a 1049K-token context window, which matters when sizing it for prompt-heavy or latency-sensitive workloads. At this input rate the model sits in the commodity tier and is suitable for high-volume workloads where per-call cost dominates the decision.
Inkling-Small ships with 133.0B parameters. Total weight footprint is approximately 266.0 GB, which is the relevant figure when planning local-inference VRAM. The apache-2.0 license is permissive, allowing commercial deployment and derivative work without per-seat fees, though attribution requirements still apply.
Inkling-Small is best fit for mixed text-and-image reasoning tasks such as document understanding, high-volume batch jobs where per-call cost dominates the budget, and long-context tasks such as full-codebase analysis or book-length summarization (1049K tokens). Treat this as a starting matrix rather than a benchmark verdict — the right deployment usually depends on the specific evaluation suite that mirrors your workload.
Thinking Machines amps up its bet against one-size-fits-all AI with its first open model, Inkling
It's the company's first public proof point after a year and a half spent building AI infrastructure largely out of public view.
Welcome Inkling by Thinking Machines
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