Inkling AI API Access & Pricing
From free weights to enterprise gateways — every channel to use Inkling AI, what each costs, and which fits your use case.
Every Way to Access Inkling AI
Unlike OpenAI-style models with one API and one price sheet, Inkling AI reaches you through five distinct channels — from completely free weights to enterprise gateways:
| Channel | Cost | What You Get |
|---|---|---|
| Hugging Face (weights) | Free (Apache 2.0) | Full BF16 weights + official NVFP4 variant. You handle hosting and inference costs yourself. |
| Tinker Playground | Free to try | Browser chat interface in the Tinker console — the fastest way to feel out the model before committing. |
| Tinker API + fine-tuning | Usage-based | Managed inference and fine-tuning. The launch demo's full self-finetune run reported $0.00 spent during the promo period. |
| Databricks Unity AI Gateway | Databricks pricing | Enterprise route — Inkling as a governed endpoint next to your data, for building agents and applications. |
| Unsloth GGUFs (self-host) | Free download | Community dynamic quants from 270GB for local inference with llama.cpp — see our how-to-run guide. |
Which Channel Should You Use?
Just curious
Tinker Playground — free browser chat, zero setup. Five minutes from reading this to talking with Inkling AI.
Building an app prototype
Tinker API — usage-based billing with no infrastructure. Move to self-hosting only when volume justifies it.
Enterprise with data governance
Databricks Unity AI Gateway — Inkling next to your lakehouse with access controls your compliance team already approved.
Sustained heavy inference
Self-host quantized weights on rented GPUs (~$20–30/hr for 8×H100) — per-token pricing loses to dedicated compute at scale.
Expect third-party hosts (Together, Fireworks, OpenRouter and the like) to add per-token Inkling AI endpoints soon — that is what happened within weeks for DeepSeek and GLM. We will update this page as they land.