NVIDIA: Nemotron 3 Nano 30B A3B vs Thinking Machines: Inkling: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing NVIDIA: Nemotron 3 Nano 30B A3B (nvidia/nemotron-3-nano-30b-a3b) vs Thinking Machines: Inkling (thinkingmachines/inkling). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
NVIDIA: Nemotron 3 Nano 30B A3B (nvidia/nemotron-3-nano-30b-a3b) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for NVIDIA: Nemotron 3 Nano 30B A3B: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.03/1M) or route via asynchronous Batch API for 50% off standard token rates.
Thinking Machines: Inkling (thinkingmachines/inkling) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Thinking Machines: Inkling: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.5/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing NVIDIA: Nemotron 3 Nano 30B A3B (API ID: nvidia/nemotron-3-nano-30b-a3b) vs Thinking Machines: Inkling (API ID: thinkingmachines/inkling), NVIDIA: Nemotron 3 Nano 30B A3B offers lower standard input pricing at $0.06/1M tokens ($0.24/1M output), while NVIDIA: Nemotron 3 Nano 30B A3B leads in cached prefix economics at $0.03/1M tokens (50% discount). NVIDIA: Nemotron 3 Nano 30B A3B achieves a 0ms faster P90 time-to-first-token latency (280ms vs 280ms).
Auto-discovered via live global telemetry registry.
Auto-discovered via live global telemetry registry.
| Specification / FinOps Dimension | NVIDIA: Nemotron 3 Nano 30B A3B | Thinking Machines: Inkling | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | nvidia/nemotron-3-nano-30b-a3b | thinkingmachines/inkling | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.06 / $0.24 | $1 / $4.05 | NVIDIA: Nemotron 3 Nano 30B A3B |
| Cache Read Price (per 1M) | $0.03/1M (50% Off) | $0.5/1M (50% Off) | NVIDIA: Nemotron 3 Nano 30B A3B |
| Context Window / Max Output | 256K In / 230K Out | 512K In / 461K Out | Thinking Machines: Inkling |
| P90 First-Token / Edge Latency | 280ms | 280ms | NVIDIA: Nemotron 3 Nano 30B A3B (-0ms) |
NVIDIA Nemotron 3 Nano 30B A3B is a small language MoE model with highest compute efficiency and accuracy for developers to build specialized agentic AI systems. The model is fully
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
Real-Time Stack Cost & Hidden-Fee Simulator (MAU / Token / Egress / GMV)
Calibrated with Reddit r/FinOps & r/devops telemetry: Includes Context Caching, Bandwidth Egress, and MoR Tax
🛰️Switch from NVIDIA: Nemotron 3 Nano 30B A3B to Thinking Machines: 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 Verified P90 latency of 280ms.