What Is Nemotron 3.5 Lightning

NVIDIA’s Nemotron 3.5 Lightning is an open-weight 30-billion-parameter mixture-of-experts language model that activates roughly 3 billion parameters per token, targeting fast, lower-cost execution of frequent and well-defined agent tasks such as tool use, coding, structured data generation, instruction following, and result validation. Its hybrid Mamba-2, attention, and MoE architecture supports a model-level context window of up to one million tokens, though OpenRouter’s paid endpoint provides 262,144 tokens while its free endpoint offers the full million-token context with different feature, privacy, and availability constraints. Lightning is positioned as a complement to the much larger Nemotron 3 Ultra, with Lightning suited to repeated execution steps and Ultra intended for complex planning, reasoning, and orchestration; workflows can route tasks between models to balance cost, latency, and reliability. NVIDIA reports favorable throughput and agent-task benchmark results, but the guidance emphasizes evaluating performance on real workloads. NVIDIA provides BF16, optimized NVFP4, and GGUF weights under the OpenMDW-1.1 license for customization and local deployment, although hardware and usable context depend on configuration. Through OpenRouter, the standard model supports tools and structured outputs subject to provider capabilities, while the free endpoint is intended for testing and should not receive confidential or personal data because usage may be logged.

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