NVIDIA: Nemotron 3.5 Lightning (free) vs Qwen: Qwen3 235B A22B Thinking 2507: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing NVIDIA: Nemotron 3.5 Lightning (free) (nvidia/nemotron-3.5-lightning:free) vs Qwen: Qwen3 235B A22B Thinking 2507 (qwen/qwen3-235b-a22b-thinking-2507). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
NVIDIA: Nemotron 3.5 Lightning (free) (nvidia/nemotron-3.5-lightning:free) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for NVIDIA: Nemotron 3.5 Lightning (free): Activate ephemeral prefix caching to slash input costs by 50% (down to $0/1M) or route via asynchronous Batch API for 50% off standard token rates.
Qwen: Qwen3 235B A22B Thinking 2507 (qwen/qwen3-235b-a22b-thinking-2507) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Qwen: Qwen3 235B A22B Thinking 2507: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.225/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing NVIDIA: Nemotron 3.5 Lightning (free) (API ID: nvidia/nemotron-3.5-lightning:free) vs Qwen: Qwen3 235B A22B Thinking 2507 (API ID: qwen/qwen3-235b-a22b-thinking-2507), NVIDIA: Nemotron 3.5 Lightning (free) offers lower standard input pricing at $0/1M tokens ($0/1M output), while NVIDIA: Nemotron 3.5 Lightning (free) leads in cached prefix economics at $0/1M tokens (50% discount). NVIDIA: Nemotron 3.5 Lightning (free) 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 (free) | Qwen: Qwen3 235B A22B Thinking 2507 | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | nvidia/nemotron-3.5-lightning:free | qwen/qwen3-235b-a22b-thinking-2507 | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0 / $0 | $0.45 / $3.5 | NVIDIA: Nemotron 3.5 Lightning (free) |
| Cache Read Price (per 1M) | $0/1M (50% Off) | $0.225/1M (50% Off) | NVIDIA: Nemotron 3.5 Lightning (free) |
| Context Window / Max Output | 977K In / 64K Out | 125K In / 16K Out | NVIDIA: Nemotron 3.5 Lightning (free) |
| P90 First-Token / Edge Latency | 280ms | 280ms | NVIDIA: Nemotron 3.5 Lightning (free) (-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
Qwen3-235B-A22B-Thinking-2507 is a high-performance, open-weight Mixture-of-Experts (MoE) language model optimized for complex reasoning tasks. It activates 22B of its 235B paramet
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 (free) to Qwen: Qwen3 235B A22B Thinking 2507
Qwen3-235B-A22B-Thinking-2507 is a high-performance, open-weight Mixture-of-Experts (MoE) language model optimized for complex reasoning tasks. It activates 22B of its 235B paramet Verified P90 latency of 280ms.