MoonshotAI: Kimi K2 0711 vs NVIDIA: Nemotron 3.5 Content Safety (free): Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing MoonshotAI: Kimi K2 0711 (moonshotai/kimi-k2) vs NVIDIA: Nemotron 3.5 Content Safety (free) (nvidia/nemotron-3.5-content-safety:free). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
MoonshotAI: Kimi K2 0711 (moonshotai/kimi-k2) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for MoonshotAI: Kimi K2 0711: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.285/1M) or route via asynchronous Batch API for 50% off standard token rates.
NVIDIA: Nemotron 3.5 Content Safety (free) (nvidia/nemotron-3.5-content-safety:free) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for NVIDIA: Nemotron 3.5 Content Safety (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.
In Etuki October 2026 FinOps telemetry comparing MoonshotAI: Kimi K2 0711 (API ID: moonshotai/kimi-k2) vs NVIDIA: Nemotron 3.5 Content Safety (free) (API ID: nvidia/nemotron-3.5-content-safety:free), NVIDIA: Nemotron 3.5 Content Safety (free) offers lower standard input pricing at $0/1M tokens ($0/1M output), while NVIDIA: Nemotron 3.5 Content Safety (free) leads in cached prefix economics at $0/1M tokens (50% discount). MoonshotAI: Kimi K2 0711 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 | MoonshotAI: Kimi K2 0711 | NVIDIA: Nemotron 3.5 Content Safety (free) | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | moonshotai/kimi-k2 | nvidia/nemotron-3.5-content-safety:free | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.57 / $2.3 | $0 / $0 | NVIDIA: Nemotron 3.5 Content Safety (free) |
| Cache Read Price (per 1M) | $0.285/1M (50% Off) | $0/1M (50% Off) | NVIDIA: Nemotron 3.5 Content Safety (free) |
| Context Window / Max Output | 128K In / 96K Out | 125K In / 8K Out | MoonshotAI: Kimi K2 0711 |
| P90 First-Token / Edge Latency | 280ms | 280ms | MoonshotAI: Kimi K2 0711 (-0ms) |
Kimi K2 Instruct is a large-scale Mixture-of-Experts (MoE) language model developed by Moonshot AI, featuring 1 trillion total parameters with 32 billion active per forward pass. I
NVIDIA: Nemotron 3.5 Content Safety (free)
API ID: nvidia/nemotron-3.5-content-safety:free • Live RegistryNVIDIA Nemotron 3.5 Content Safety is a compact 4B-parameter multimodal guardrail model from NVIDIA, fine-tuned from Google Gemma-3-4B. It moderates both inputs to and responses fr
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 MoonshotAI: Kimi K2 0711 to NVIDIA: Nemotron 3.5 Content Safety (free)
NVIDIA Nemotron 3.5 Content Safety is a compact 4B-parameter multimodal guardrail model from NVIDIA, fine-tuned from Google Gemma-3-4B. It moderates both inputs to and responses fr Verified P90 latency of 280ms.