NVIDIA: Nemotron 3 Super vs Qwen: Qwen3.5-35B-A3B: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing NVIDIA: Nemotron 3 Super (nvidia/nemotron-3-super-120b-a12b) vs Qwen: Qwen3.5-35B-A3B (qwen/qwen3.5-35b-a3b). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
NVIDIA: Nemotron 3 Super (nvidia/nemotron-3-super-120b-a12b) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for NVIDIA: Nemotron 3 Super: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.04/1M) or route via asynchronous Batch API for 50% off standard token rates.
Qwen: Qwen3.5-35B-A3B (qwen/qwen3.5-35b-a3b) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Qwen: Qwen3.5-35B-A3B: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.075/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing NVIDIA: Nemotron 3 Super (API ID: nvidia/nemotron-3-super-120b-a12b) vs Qwen: Qwen3.5-35B-A3B (API ID: qwen/qwen3.5-35b-a3b), NVIDIA: Nemotron 3 Super offers lower standard input pricing at $0.08/1M tokens ($0.45/1M output), while NVIDIA: Nemotron 3 Super leads in cached prefix economics at $0.04/1M tokens (50% discount). NVIDIA: Nemotron 3 Super 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 Super | Qwen: Qwen3.5-35B-A3B | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | nvidia/nemotron-3-super-120b-a12b | qwen/qwen3.5-35b-a3b | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.08 / $0.45 | $0.15 / $1 | NVIDIA: Nemotron 3 Super |
| Cache Read Price (per 1M) | $0.04/1M (50% Off) | $0.075/1M (50% Off) | NVIDIA: Nemotron 3 Super |
| Context Window / Max Output | 256K In / 230K Out | 256K In / 16K Out | NVIDIA: Nemotron 3 Super |
| P90 First-Token / Edge Latency | 280ms | 280ms | NVIDIA: Nemotron 3 Super (-0ms) |
NVIDIA Nemotron 3 Super is a 120B-parameter open hybrid MoE model, activating just 12B parameters for maximum compute efficiency and accuracy in complex multi-agent applications. B
The Qwen3.5 Series 35B-A3B is a native vision-language model designed with a hybrid architecture that integrates linear attention mechanisms and a sparse mixture-of-experts model,
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 Super to Qwen: Qwen3.5-35B-A3B
The Qwen3.5 Series 35B-A3B is a native vision-language model designed with a hybrid architecture that integrates linear attention mechanisms and a sparse mixture-of-experts model, Verified P90 latency of 280ms.