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Nemotron 3.5 Super VL

nvidia · Sorti oct. 2026

Conditionnel

Nemotron 3.5 Super VL is NVIDIA's open-weight 120B vision-language model (12B active) under the OpenMDW-1.1 licence, with a 1M-token context and text, image and video input. The deciding caveat is hardware and evidence: NVIDIA recommends 4x H100 or 2x GB200 for the BF16 build, and the card's scores are NVIDIA's own runs. Suits teams that can host a large model on their own GPUs and want open weights for document and visual work.

Est-ce fait pour vous ?

Recommandé pour

  • Self-hosted document and visual work: open weights, text/image/video input, OCR, tables and charts per NVIDIA
  • Teams wanting a permissive licence: OpenMDW-1.1 is stated as ready for commercial or non-commercial use
  • Flexible deployment: BF16 and NVFP4 checkpoints, plus NVIDIA NIM and OpenRouter availability

Déconseillé pour

  • Small GPU budgets: the BF16 card recommends 4x H100 or 2x GB200, and the NVFP4 card lists 1x DGX Spark (text and images), 1x H200 or 2x H100, or 1x GB200
  • Independent evidence: card scores are collected by NVIDIA via NeMo Gym, and the pages we read show no third-party run

Performances par tâche

Reasoning

Very Good

GPQA-Diamond 89.52 on the model card (NVIDIA run)

Coding

Very Good

LiveCodeBench v6 88.22 and SWE-bench Verified 71.10 on the model card (NVIDIA run)

Document and visual understanding

Good

NVIDIA lists OCR, tables, charts and structured information in documents; no document-specific benchmark read

Tarifs

Entrée

Not stated

Sortie

Not stated

Contexte

Open weights under OpenMDW-1.1; 1M ctx; hosted NIM and OpenRouter prices not verified

Voir tous les tarifs

Tests de performance

TestScoreSource
GPQA-Diamond89.52 Source
LiveCodeBench v688.22 Source
SWE-bench Verified71.10 Source
MMLU-ProX76.91 Source
MathVision78.16 Source

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