NVIDIA · Released 2026-10-15

NVIDIA Nemotron 3.5 Super VL

120B total and 12B active parameters, up to 1M context, with public weights under OpenMDW 1.1. The BF16 card gives 4×H100/2×GB200 examples; NVFP4 has separate conditions. AA26 does not name effort or establish customer outcomes after specialized post-training.

Original model explanation ↗

Where it stands in the leaderboard

Artificial Analysis intelligence comparison

26points

Intelligence Index

Rank 29 among included models

Test configuration: Effort not named in source table

Source read · · v4.3.2

Each model uses its highest tested setting, with fallback conditions retained. Original K3 remains at max44 from its readable individual page; the aggregate page now lists K3.1 Pro separately. Scores use one evaluator. The index mainly evaluates English text tasks; examine Chinese and image capabilities separately.

Source evaluation & rankings ↗

Evaluations: conditions and results

How this capability connects to works and uses

NVIDIA model evolution

  1. Nemotron 3.5 Super VL · 正式发布

    The 120B-total, 12B-active multimodal model launches with public weights, training materials and hosted routes; model cards specify precision and hardware.

    Original release ↗
  2. Nemotron 3.5 Bolt 74B-A9B 24GB · 正式发布

    The 74B-total, 9B-active local-agent model launches. 24GB names a specific quantization recipe; long-context GGUF requires more memory. E4B remains a later plan.

    Original release ↗
  3. Cosmos3-H-Dreams · 动作条件手术模拟

    A specialist continues endoscopic video from two-arm actions; distinguish two-/four-step weights and the GPU runtime. Clinical validity and a matching score in the existing physics board remain unestablished.

    Original release ↗