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NVIDIA Nemotron 3.5 Super VL is an open-weight, hybrid Mamba-2/Transformer sparse Mixture-of-Experts vision-language model (120B total / ~12B active parameters) with a C-RADIO/RADIO v2.5-H vision encoder and a native 1,048,576-token (1M) context window. It natively ingests text, images, documents, GUI screenshots, and video, and is tuned for reasoning, coding, tool use, and specialized agentic workflows. Priced aggressively at $0.15/1M input and $0.50/1M output, it targets cost-efficient multimodal autonomy.
SWE-Bench Verified: 70.7–71.9%, PinchBench: 90.0%, RULER @1M: 94.7%, LiveCodeBench v6: 89.0%, IOI 2025: 570, GPQA (no tools): 87.0%, IFBench: 81.7%, IMOAnswerBench: 88.6–92.3%, Terminal-Bench 2.1: 56.4%, Artificial Analysis Intelligence Index: 48 (highest US open model) | NVIDIA's most capable model (released Jun 4, 2026).
GPQA Diamond: 79.23% (82.70% w/ tools), HMMT Feb 2025: 93.67% (94.73% w/ tools), AIME 2025: 90.21%, MMLU-Pro: 83.73%, LiveCodeBench v5: 81.19%, SWE-Bench Verified: 60.47%, SWE-Bench Multilingual: 45.78%, RULER @1M: 91.75% (vs GPT-OSS-120B's 22.30), RULER @256K: 96.30%, AA Intelligence Index: 36 | Agentic reasoning, tool calling, long-context workflows, instruction following, multi-agent orchestration.