OpenAI: GPT-6 Sol Pro vs NVIDIA: Nemotron 3.5 Lightning: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing OpenAI: GPT-6 Sol Pro (openai/gpt-6-sol-pro) vs NVIDIA: Nemotron 3.5 Lightning (nvidia/nemotron-3.5-lightning). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
OpenAI: GPT-6 Sol Pro (openai/gpt-6-sol-pro) Startup Credits & Batch API 50% Off Promo
OpenAI GPT-6.1 Sol ($2/$10 base rate) qualifies for immediate 75% automatic prefix caching ($0.50/1M), 50% off 24-hour Batch API completions ($1/$5), and up to $150,000 in OpenAI/Azure Foundry credits via Microsoft for Startups Founders Hub (no VC funding required for initial tiers).
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.
In Etuki October 2026 FinOps telemetry comparing OpenAI: GPT-6 Sol Pro (API ID: openai/gpt-6-sol-pro) vs NVIDIA: Nemotron 3.5 Lightning (API ID: nvidia/nemotron-3.5-lightning), 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). OpenAI: GPT-6 Sol Pro 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 | OpenAI: GPT-6 Sol Pro | NVIDIA: Nemotron 3.5 Lightning | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | openai/gpt-6-sol-pro | nvidia/nemotron-3.5-lightning | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $2 / $10 | $0.07 / $0.2 | NVIDIA: Nemotron 3.5 Lightning |
| Cache Read Price (per 1M) | $1/1M (50% Off) | $0.035/1M (50% Off) | NVIDIA: Nemotron 3.5 Lightning |
| Context Window / Max Output | 1025K In / 125K Out | 256K In / 230K Out | NVIDIA: Nemotron 3.5 Lightning |
| P90 First-Token / Edge Latency | 280ms | 280ms | OpenAI: GPT-6 Sol Pro (-0ms) |
GPT-6 Sol Pro is the same underlying model as [GPT-6 Sol](https://openrouter.ai/openai/gpt-6-sol), served with `reasoning.mode` set to `pro` for higher-quality responses on complex
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
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 OpenAI: GPT-6 Sol Pro to NVIDIA: Nemotron 3.5 Lightning
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 Verified P90 latency of 280ms.