NVIDIA: Nemotron 3.5 Lightning vs DeepSeek: R1: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing NVIDIA: Nemotron 3.5 Lightning (nvidia/nemotron-3.5-lightning) vs DeepSeek: R1 (deepseek/deepseek-r1). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
NVIDIA: Nemotron 3.5 Lightning (nvidia/nemotron-3.5-lightning) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for NVIDIA: Nemotron 3.5 Lightning: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.035/1M) or route via asynchronous Batch API for 50% off standard token rates.
DeepSeek: R1 (deepseek/deepseek-r1) — Automatic Disk KV Cache ($0.35/1M) & Off-Peak Promo
DeepSeek-V4 Pro (1.6T MoE) automatically caches repeated 64-token prompt prefixes on NVMe storage at $0.07/1M input tokens (50% off $0.14 base) with zero code changes required, plus off-peak UTC scheduling discounts.
In Etuki October 2026 FinOps telemetry comparing NVIDIA: Nemotron 3.5 Lightning (API ID: nvidia/nemotron-3.5-lightning) vs DeepSeek: R1 (API ID: deepseek/deepseek-r1), NVIDIA: Nemotron 3.5 Lightning offers lower standard input pricing at $0.07/1M tokens ($0.2/1M output), while NVIDIA: Nemotron 3.5 Lightning leads in cached prefix economics at $0.035/1M tokens (50% discount). NVIDIA: Nemotron 3.5 Lightning 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 3.5 Lightning | DeepSeek: R1 | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | nvidia/nemotron-3.5-lightning | deepseek/deepseek-r1 | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.07 / $0.2 | $0.7 / $2.5 | NVIDIA: Nemotron 3.5 Lightning |
| Cache Read Price (per 1M) | $0.035/1M (50% Off) | $0.35/1M (50% Off) | NVIDIA: Nemotron 3.5 Lightning |
| Context Window / Max Output | 256K In / 230K Out | 63K In / 16K Out | NVIDIA: Nemotron 3.5 Lightning |
| P90 First-Token / Edge Latency | 280ms | 280ms | NVIDIA: Nemotron 3.5 Lightning (-0ms) |
NVIDIA Nemotron 3.5 Lightning is an open mixture-of-experts model from NVIDIA, with 3B active parameters out of 30B total. It is suited for high-throughput agentic workloads and sp
DeepSeek R1 is here: Performance on par with [OpenAI o1](/openai/o1), but open-sourced and with fully open reasoning tokens. It's 671B parameters in size, with 37B active in an inf
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 3.5 Lightning to DeepSeek: R1
DeepSeek R1 is here: Performance on par with [OpenAI o1](/openai/o1), but open-sourced and with fully open reasoning tokens. It's 671B parameters in size, with 37B active in an inf Verified P90 latency of 280ms.