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Nvidia Nemotron 3 Super 120B
◆ OPEN
by Nvidia
OPEN WEIGHTSLOCALAPIREASONING
RANKED #197 OF 337 ASSISTANTS · OVERALL #312 OF 528 RANKED · VIBE SCORE 5.6 · 44 VOICES
COPY BADGE pastes a README snippet with the rank SVG.
Nemotron middle tier for collaborative agents and high-volume reasoning workloads
HAPPY10.0
4 mentions
SAD5.0
2 mentions
VIBE TRAJECTORY
26 weeks · 66 voices
HONEYMOON FADING
Early praise is cooling off in recent weeks.
HOW TO USE IT
Open weights. You can use a hosted service, or download it and run it yourself, free.
RUN IT ON YOUR OWN MACHINE
Open weights: download Nvidia Nemotron 3 Super 120B once and it's yours. No subscription, no rate limits, works offline.
120B total parameters (12B active MoE), a Q4 / NVFP4 quantized model requires around 70 to 75 GB memory
- BARE MINIMUM
Apple Mac Studio M2 Max (96 GB RAM)
96 GB UNIFIED MEMORY
~$2400 USEDQ4 / 4-bit quant, ~16 tok/s, 8k context
- SWEET SPOT
Dual NVIDIA RTX 3090 (2x 24 GB) system with 128 GB system RA
48 GB VRAM + 128 GB RAM
~$1900 USEDQ4 / 4-bit quant with GPU offloading and system RAM, ~22 tok/s, 16k context
- FULL POWER
Apple Mac Studio M2 Ultra (192 GB RAM)
192 GB UNIFIED MEMORY
~$4800 USEDQ8 / 8-bit quant, full context window, ~35 tok/s
LEARN HOW TO SET IT UP
WILL MY BOX RUN NVIDIA NEMOTRON 3 SUPER 120B?
The three cards above are researched picks. Search the machine you actually have — we only say yes if it should reply at a usable speed, not just load the weights and crawl.
HARDWARE PICKS & PRICES ARE RESEARCHED FROM THE LIVE WEB AND REFRESHED AUTOMATICALLY. TREAT THEM AS BALLPARK, NOT GOSPEL.
WHAT CAN YOU ACTUALLY DO WITH IT?
Everyday jobs on each of those rigs: how long Nvidia Nemotron 3 Super 120B takes, and how good the crowd says it is at that kind of work.
| THE JOB | BARE MINIMUMApple Mac Studio M2 Max (96 GB RAM) | SWEET SPOTDual NVIDIA RTX 3090 (2x 24 GB) system with 128 GB system RA | FULL POWERApple Mac Studio M2 Ultra (192 GB RAM) |
|---|---|---|---|
| Write an emaila paragraph or two, drafted from a one-line brief | ~31 S★★★★★ | ~23 S★★★★★ | ~14 S★★★★★ |
| Summarize a documenta long report boiled down to the points that matter | ~1.6 MIN★★★★★ | ~68 S★★★★★ | ~43 S★★★★★ |
| Build a websitea small landing page, markup and styles together | ~8.3 MIN★★★★★ | ~6.1 MIN★★★★★ | ~3.8 MIN★★★★★ |
| Build a backendan API with routes, storage and tests | ~26 MIN★★★★★ | ~19 MIN★★★★★ | ~12 MIN★★★★★ |
| Build a gamea playable browser game in one file | ~16 MIN★★★★★ | ~11 MIN★★★★★ | ~7.1 MIN★★★★★ |
STARS ARE THE COMMUNITY SCORE FOR THAT KIND OF WORK, DOCKED FOR HOW SQUASHED THE WEIGHTS GET AT EACH TIER. TIMES ARE COMPUTED FROM RESEARCHED SPEEDS. BALLPARK, NOT GOSPEL.
WHAT THE INTERNET SAYS
Not enough discussion about Nvidia Nemotron 3 Super 120B yet to call it. We found 44 posts but people did not say much either way.
43 POSTS · 1 COMMENTS · REDDIT · GITHUB · BLUESKY
PEOPLE LOVE
- No fan mail yet. The crowd is still warming up.
PEOPLE COMPLAIN ABOUT
- No complaints yet. The internet is still looking for one. Suspicious.
LOOKING FOR AN ALTERNATIVE?
Other models the crowd has fully reviewed, starting with text models like this one.
- Apertus v1.5 70B7.4Infomaniak · Text2.5k VOICESCOMPARE
Muse Spark 1.3> SOURCES (12)
- REDDIT · 2026-03-11 · 324 UPVOTESNVIDIA releases Nemotron 3 Super!
NVIDIA releases Nemotron 3 Super!
- REDDIT · 2026-07-25 · 84 UPVOTESMy 10-Node Agentic RAG Architecture: Combining LangGraph, Cohere, Pinecone & MCP for Dense Legal Parsing
My 10-Node Agentic RAG Architecture: Combining LangGraph, Cohere, Pinecone & MCP for Dense Legal Parsing
- REDDIT · 2026-04-19 · 6 UPVOTESFree Coding Agent with NVIDIA Nemotron (Open Source)
Free Coding Agent with NVIDIA Nemotron (Open Source)
- REDDIT · 2026-09-18 · 2 UPVOTESI built a small proxy that lets Claude Desktop / Claude Code run on local models and NVIDIA's free API, sharing it in case it's useful
I built a small proxy that lets Claude Desktop / Claude Code run on local models and NVIDIA's free API, sharing it in case it's useful
- GITHUB · 2026-08-26 · 1 UPVOTESPhase 4: deterministic contract selector (4A chain observation + 4B selection)
Phase 4: deterministic contract selector (4A chain observation + 4B selection)
- GITHUB · 2026-09-09 · 0 UPVOTES#848: discovery живых model id NVIDIA NIM/Ollama Cloud/OpenRouter
#848: discovery живых model id NVIDIA NIM/Ollama Cloud/OpenRouter
- GITHUB · 2026-08-19 · 0 UPVOTESfix(models): retire Gemma 4, move cheap tier to GLM 4.7 Flash + Qwen 3.5
fix(models): retire Gemma 4, move cheap tier to GLM 4.7 Flash + Qwen 3.5
- GITHUB · 2026-08-15 · 0 UPVOTESStop pre-throttling paid OpenRouter and Gemini keys
Stop pre-throttling paid OpenRouter and Gemini keys
- GITHUB · 2026-08-25 · 0 UPVOTESfeat(triagem): OpenRouter no lugar do Gemini e preenchimento automatico do agente
feat(triagem): OpenRouter no lugar do Gemini e preenchimento automatico do agente
- GITHUB · 2026-08-28 · 0 UPVOTESfix(pricing): correct DeepSeek V4 rates, add ten IU gateway models
fix(pricing): correct DeepSeek V4 rates, add ten IU gateway models
- GITHUB · 2026-08-28 · 0 UPVOTESfix(dream): la nuit repart sur des primaires vivants — fin des 410 llama
fix(dream): la nuit repart sur des primaires vivants — fin des 410 llama
- GITHUB · 2026-09-12 · 0 UPVOTESfix(llm): replace retired Llama defaults; run gpt-oss at low reasoning effort
fix(llm): replace retired Llama defaults; run gpt-oss at low reasoning effort