NVIDIA NIM: Inkling (NVIDIA NIM)
stableInkling (NVIDIA NIM) is available through Everstack's OpenAI-compatible gateway with routing, fallback, retries, and observability.
Activity
Providers
Pricing
| Item | Price | Unit |
|---|---|---|
| Input | - | per 1M tokens |
| Output | - | per 1M tokens |
Performance
Reliability
Compare
Capabilities
- Model ID
- thinkingmachines__inkling
- Family
- ling
- Status
- stable
- Knowledge
- -
- Released
- Jul 15, 2026
- API
- 2024-01-01
- Auth
- NVIDIA_API_KEY
- Discovery
- static
- Provider type
- meta
Quick Start
Endpoint
https://integrate.api.nvidia.com/v1https://integrate.api.nvidia.com/v1/chat/completionsthinkingmachines__inklingNVIDIA_API_KEYInkling (NVIDIA NIM) FAQ
What is the context window of Inkling (NVIDIA NIM)?
Inkling (NVIDIA NIM) accepts up to 1.0M tokens of context and returns up to 16.4K output tokens on NVIDIA NIM.
Which providers offer Inkling (NVIDIA NIM)?
Inkling (NVIDIA NIM) is available from NVIDIA NIM, OpenRouter, Hugging Face and Together AI. Everstack can route between them with automatic fallback when one is unavailable.
What can Inkling (NVIDIA NIM) do?
Inkling (NVIDIA NIM) supports chat, function calling, image input and reasoning. It accepts text, image and audio input.
How do I call Inkling (NVIDIA NIM) through Everstack?
Point any OpenAI-compatible SDK at your Everstack gateway and set the model to @nvidia-nim/thinkingmachines__inkling. Everstack adds retries, provider fallback, caching, per-tenant budgets and OpenTelemetry traces for every request.
