NVIDIA's Nemotron 3.5 Lightning leads LLM agent benchmark on cost and speed

A recent benchmark test evaluated eight large language models (LLMs) on their ability to handle a fictional university agent scenario, focusing on refusal of fabricated information and valid JSON output. The results indicated that while all models performed well on straightforward question-answering tasks, significant differences emerged when models were required to abstain from answering or produce structured data. NVIDIA's Nemotron 3.5 Lightning emerged as the most cost-effective and fastest model, significantly outperforming closed-source frontier models like GPT-5.5 and Opus in these metrics. AI

IMPACT NVIDIA's Nemotron 3.5 Lightning offers a compelling cost and speed advantage for agent applications, potentially influencing adoption of open-source models.

RANK_REASON Benchmark results comparing multiple LLMs on specific agent tasks. [lever_c_demoted from research: ic=1 ai=1.0]

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• B Torkian
• GPT-4o mini
• GPT-5.5
• Haiku
• Nemotron 3 Super
• Nemotron 3 Ultra
• NVIDIA
• NVIDIA Nemotron 3.5 Lightning
• Opus
• super-49b

• model release
• product

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