Model Detail

Inkling is a multimodal model with 476.2B 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 is priced at $1/M input tokens and $4.05/M output tokens. Operationally the model offers a 524K-token context window, which matters when sizing it for prompt-heavy or latency-sensitive workloads. Pricing in this range is the working middle of the API market — neither the cheapest nor the most expensive option per token, so cost-fit is usually a function of how much output you generate.

Inkling ships with 476.2B parameters. Total weight footprint is approximately 952.4 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.

Downloads of Inkling have moved +19.9% over the trailing seven days. The trend is mildly positive, consistent with a model that is being picked up incrementally rather than going viral. These numbers are signal, not guarantee — week-over-week download counts on Hugging Face also reflect mirror traffic, CI scrapes, and one-off benchmarking runs.

Inkling is best fit for mixed text-and-image reasoning tasks such as document understanding, and long-context tasks such as full-codebase analysis or book-length summarization (524K 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.