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nvidia-nemotron-3-ultra-550b-a55b-nvfp4

nvidia · OpenMDW-1.1 license · on Arena since 3 Jun 2026

Lab chat Download
Arena score1445#64 of 416 in Chat, paid models included
Size560.5 B55 B active per token (mixture of experts)
4-bit download340 GBweights only, Q4_K_M
Max context256Ktokens, from the model config

Where to use it for free

Arena scores

ArenaScoreRankVotes
Chat1445#64 of 41612K

Rank among all models, paid ones included. Source: Arena leaderboard dataset.

Speed on popular hardware

HardwareGPU memoryFits?Speed
RTX 3060 12 GB12 GBDoes not fit—
RTX 4060 Ti 16 GB16 GBDoes not fit—
RTX 309024 GBDoes not fit—
RTX 409024 GBDoes not fit—
RTX 509032 GBDoes not fit—
RX 7900 XTX24 GBDoes not fit—
2 × RTX 309048 GBDoes not fit—
4 × RTX 309096 GBDoes not fit—
Mac M4 Max 128 GB96 GBDoes not fit—
Ryzen AI Max+ 395 128 GB96 GBDoes not fit—
8 × H100 SXM640 GBFits in GPU57 tok/s

Estimate at 4-bit with 32K context, 64 GB of DDR5 for offload. Speed ≈ memory bandwidth × 70% ÷ data read per token; real numbers vary by about ±30%.

GPU memory needed

Level8K context32K context128K contextQuality vs full
Q3_K_M281 GB281 GB282 GB+4.7% noticeable loss
Q4_K_M340 GB341 GB342 GB+1.2% very small loss
Q5_K_M399 GB400 GB401 GB+0.4% near-lossless
Q6_K460 GB461 GB462 GB+0.2% near-lossless
Q8_0596 GB597 GB598 GB≈ 0% same as full
F161122 GB1122 GB1123 GB≈ 0% same as full

Weights + context cache (from the model's architecture) + runtime. Quality: increase in perplexity against the full model, from llama.cpp tests, scaled by model size. Simulate your own setup.

Chat score over time

nvidia-nemotron-3-ultra-550b-a55b-nvfp4 1445Best paid model

Arena score from 17 Apr 2026 to 15 Oct 2026.

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