How does Nemotron 3.5 Lightning rank among AI models?
Nemotron 3.5 Lightning holds ModelCap Index position #82 of 276 ranked language models as of 28 September 2026, with an Index score of 55.8 (interval 36.7–74.9); evidence: measured. The Index combines public benchmark boards with published uncertainty; the methodology page explains the weighting.
How much does Nemotron 3.5 Lightning cost per 1M tokens?
Nemotron 3.5 Lightning is listed at $0.08 per 1M input tokens and $0.20 per 1M output tokens as of 28 September 2026; the lowest output price among 5 providers is $0.18 on Darkbloom. Prices come from the OpenRouter catalogue and re-observe on every refresh; at least one provider lists a free tier. For 1,000 requests using 2,000 input and 500 output tokens each, the listed rates imply $0.26 total (2M input + 0.5M output). This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the chosen endpoint's rate and limits before budgeting.
What is the context window of Nemotron 3.5 Lightning?
Nemotron 3.5 Lightning has a published context window of 1M tokens (1,000,000) and a maximum output of 131K tokens. Individual providers can serve less than the published maximum; the providers table lists each endpoint's own limit.
Is Nemotron 3.5 Lightning open-weight?
Restricted license (openmdw-1.1). Downloadable weights use a model-specific or use-restricted license. Review the linked license before use, redistribution, or commercial deployment. The repository is nvidia/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16 on Hugging Face.
Which API providers serve Nemotron 3.5 Lightning?
5 providers serve Nemotron 3.5 Lightning through OpenRouter as of 28 September 2026: Darkbloom, Io Net, Phala, CoreWeave and DeepInfra. Each provider's price, context limit, quantization and measured uptime are in the providers table above.
Which benchmarks has Nemotron 3.5 Lightning been evaluated on?
Nemotron 3.5 Lightning has published results on 2 public boards tracked by ModelCap as of 28 September 2026: AA Intelligence Index 12.9 (#142 of 173) and AA Humanity's Last Exam 10.6% (#298 of 633). Each board page ranks every tracked model on that benchmark. The ModelCap Index scores the results its methodology admits, with published uncertainty, and shows reference boards without scoring them.