NVIDIA: Nemotron 3 Nano 30B A3B vs Qwen: Qwen3.8 27B: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing NVIDIA: Nemotron 3 Nano 30B A3B (nvidia/nemotron-3-nano-30b-a3b) vs Qwen: Qwen3.8 27B (qwen/qwen3.8-27b). 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.
Qwen: Qwen3.8 27B (qwen/qwen3.8-27b) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Qwen: Qwen3.8 27B: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.12/1M) 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 Qwen: Qwen3.8 27B (API ID: qwen/qwen3.8-27b), 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 | Qwen: Qwen3.8 27B | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | nvidia/nemotron-3-nano-30b-a3b | qwen/qwen3.8-27b | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.06 / $0.24 | $0.24 / $2.2 | NVIDIA: Nemotron 3 Nano 30B A3B |
| Cache Read Price (per 1M) | $0.03/1M (50% Off) | $0.12/1M (50% Off) | NVIDIA: Nemotron 3 Nano 30B A3B |
| Context Window / Max Output | 256K In / 230K Out | 977K In / 230K Out | NVIDIA: Nemotron 3 Nano 30B A3B |
| 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
Qwen3.8 27B is an open-weight dense vision-language model from Qwen. It is suited for coding, professional workflows, research, multimodal interaction, and long-running agent tasks
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 Qwen: Qwen3.8 27B
Qwen3.8 27B is an open-weight dense vision-language model from Qwen. It is suited for coding, professional workflows, research, multimodal interaction, and long-running agent tasks Verified P90 latency of 280ms.