NVIDIA

NVIDIA Nemotron 3.5 Super-VLTerbuka

NVIDIA high-performance open-weights vision-language MoE optimized for TensorRT-LLM and robot perception workflows.

#30dirilis 29 Sep 2026·Open Weights·120B/12B MoE
textimagevideo512K ctx
Penyedia APIDapatkan Kunci API →Peringkat
Inteligensi
87.8 #30
AAQI 88.0
Kecepatan output
110 t/s
ITL 9.1 ms/tok
Harga gabungan (3:1)
$0.65 /1M
Input $0.35/M · Output $1.2/M
Konteks
512K
≈ 1,280 halaman A4 · output maks 16,384

Quality Domain Radar

6-Axis Frontier Evaluation vs Category Average & Flagship

NVIDIA Nemotron 3.5 Super-VL
Claude Mythos Preview (#1)
Average (68)
Coding (83)Mathematics (84)Hard Science (GPQA) (86)Agentic & Tool Use (81)Knowledge (MMLU) (85)Vision / Multimodal (96)

Sumbu radar diaproksimasi dari skor kategori jika pengukuran benchmark langsung tidak tersedia — lihat Metodologi.

Kelebihan & Trade-off

Di mana ia menang

  • Open-weights VL model with video input
  • 110 tok/s on NVIDIA inference stacks
  • Tuned for robotics and enterprise agent systems

Hal yang perlu diperhatikan

  • Peak throughput requires NVIDIA hardware stack
  • Reasoning depth below frontier text-only models

Kasus Penggunaan Killer

Robotics perception
Vision-language-action pipelines on Jetson and DGX.
Video analytics agents
Multi-modal sub-agents parsing video, audio and documents.
Self-hosted VL workloads
Enterprise document/video QA with open weights.

Quickstart Developer & API

Atur NVIDIA_API_KEY dulu — dapatkan kunci API
curl https://integrate.api.nvidia.com/v1/chat/completions \
  -H "Authorization: Bearer $NVIDIA_API_KEY" \
  -H "content-type: application/json" \
  -d '{
    "model": "nvidia/nemotron-3-5-super-vl",
    "messages": [{"role": "user", "content": "Refactor this function for O(n) time and explain the change."}]
  }'

Sumber Daya & Tautan Resmi

Deployment API

Bandingkan host & latensi

Throughput, TTFT, dan harga cache di Groq, Cerebras, Together, DeepInfra, Fireworks, Bedrock, dan Azure.

GroqCerebrasTogether AIDeepInfraFireworks AIAWS BedrockAzure AI
Lihat matriks penyedia →

Skor per sumber

Spesifikasi Live & Arsitektur

Di balik kap
120B hybrid MoE, 12B active — vision-language
  • Hybrid Mamba-attention MoE stack for 4x predecessor throughput
  • TensorRT-LLM optimized; FP8-ready checkpoints
  • Native video + image understanding in one model
Tanggal rilis
29 Sep 2026
Arsitektur
120B hybrid MoE, 12B active — vision-language
Parameter
120B/12B MoE
Lisensi
Open Weights
Jendela konteks
512,000 tokens
Output maks
16,384 tokens
Modalitas
text + image + video
Harga cache
baca $0.05 · tulis $0.35 /1M
Penalaran
—
Harga input
$0.35/M
Harga output
$1.2/M
Kecepatan output
110 t/s
Waktu ke token pertama
—
Data diperbarui
1 Okt 2026

Estimasi tagihan bulanan

Estimasi pengeluaran bulanan
$0.00
Menghitung penghematan vs GPT-4o…

Kutip & sematkan

Badge Markdown GitHub
Loading badge markdown...
BibTeX
@misc{llmpodium2026nemotron35supervl,
  title = {Benchmark Analysis and Intelligence Evaluation of NVIDIA Nemotron 3.5 Super-VL},
  author = {LLMPodium Research},
  year = {2026},
  url = {https://llmpodium.com/models/nemotron-3-5-super-vl}
}

Sematkan Lencana Skor

Tambahkan lencana Podium Score langsung ke README GitHub atau Hugging Face Anda — menautkan ke peringkat langsung.

Pratinjau
NVIDIA Nemotron 3.5 Super-VL LLMPodium Score
Markdown
Loading badge snippet...
HTML
Loading badge snippet...

Lainnya dari NVIDIA

Model Alternatif

Alternatif terdekat untuk NVIDIA Nemotron 3.5 Super-VL berdasarkan kemampuan, harga, dan skor benchmark.

0 / 4