Nemotron 3 Ultra 550B-A55B
- Made by
- NVIDIA
- Released
- Announced in
- NVIDIA Nemotron 3 Ultra Powers Faster, More Efficient Reasoning for Long-Running Agentsdeveloper.nvidia.com
- Event
- Nemotron 3 Ultra
- API record
- /api/v1/models/nemotron-3-ultra-550b-a55b
Benchmark results
| Benchmark | Score | Source check |
|---|---|---|
| Humanity's Last ExamNo tools | 26.7% | |
| text-only subset; GPT-5.6 Luna judge · reported later, in Nemotron 3.5 Super and Lightning: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Models for Agentic AI | 29.24% | |
| Humanity's Last ExamWith tools | 37.4% | |
| SWE-bench Verified | 71.9% | CheckedA person checked this number against its source on 20 Oct 2026. This confirms the number matches what the lab published, not that the score was reproduced. |
| in Nemotron 3 Ultra: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoning | 70.7% | |
| OpenCode harness; web search and fetch disabled; average of 3 runs · reported later, in Nemotron 3.5 Super and Lightning: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Models for Agentic AI | 73.93% | CorroboratedThe same number is printed in 1 other lab document: 1 |
| SWE-bench ProOpenCode harness; web search and fetch disabled; average of 3 runs · reported later, in Nemotron 3.5 Super and Lightning: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Models for Agentic AI · The source doesn't say whether this is the public or the commercial set | 49.66% | |
| GPQA Diamondaverage of 8 runs · reported later, in Nemotron 3.5 Super and Lightning: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Models for Agentic AI | 86.99% | |
| BrowseCompinternal search harness | 44.4% | |
| NeMo Gym harness with Exa search; discard-all context management · reported later, in Nemotron 3.5 Super and Lightning: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Models for Agentic AI | 67.85% | |
| OpenCode harness · reported later, in Nemotron 3.5 Super and Lightning: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Models for Agentic AI | 61.06% | CheckedA person checked this number against its source on 20 Oct 2026. This confirms the number matches what the lab published, not that the score was reproduced. |
| Terminal-Bench 2.0 | 54% | CorroboratedThe same number is printed in 1 other lab document: 1 |
| Terminal-Bench 2.1 | 56.4% | |
| Terminus 2 harness; 3h timeout; average of 8 runs · reported later, in Nemotron 3.5 Super and Lightning: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Models for Agentic AI | 54.78% | CorroboratedThe same number is printed in 1 other lab document: 1 |
| later report; harness not stated · reported later, in nvidia/NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16 model card (revision of 2026-10-15) | 54.80% | CheckedA person checked this number against its source on 20 Oct 2026. This confirms the number matches what the lab published, not that the score was reproduced. |
| MMLU-Pro | 86.8% | CorroboratedThe same number is printed in 1 other lab document: 1 |
| LiveCodeBenchLiveCodeBench v6 | 89.0% | CorroboratedThe same number is printed in 1 other lab document: 1 |
| LiveCodeBench v6, problems from Aug 2024 to May 2025; average of 3 samples · reported later, in Nemotron 3.5 Super and Lightning: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Models for Agentic AI | 89.21% | CorroboratedThe same number is printed in 1 other lab document: 1 |
| τ²-benchTelecom · average of 8 trials; Qwen3-235B-A22B-Instruct-2507 user simulator · reported later, in Nemotron 3.5 Super and Lightning: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Models for Agentic AI | 83.00% | CorroboratedThe same number is printed in 1 other lab document: 1 |
| τ²-benchRetail · average of 8 trials; Qwen3-235B-A22B-Instruct-2507 user simulator · reported later, in Nemotron 3.5 Super and Lightning: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Models for Agentic AI | 73.68% | CorroboratedThe same number is printed in 1 other lab document: 1 |
| τ²-benchAirline · average of 8 trials; Qwen3-235B-A22B-Instruct-2507 user simulator · reported later, in Nemotron 3.5 Super and Lightning: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Models for Agentic AI | 79.75% | CorroboratedThe same number is printed in 1 other lab document: 1 |
Sources
Reported by NVIDIA
- NVIDIA Nemotron 3 Ultra Powers Faster, More Efficient Reasoning for Long-Running Agentsdeveloper.nvidia.com · 4 Jun 2026

Our capture of the source - nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B-NVFP4 model card (launch-day revision)huggingface.co · 4 Jun 2026

Our capture of the source - Nemotron 3 Ultra: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoningresearch.nvidia.com · 4 Jun 2026

Our capture of page 38 - nvidia/NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16 model card (revision of 2026-10-15)huggingface.co · 15 Oct 2026

Our capture of the source - Nemotron 3.5 Super and Lightning: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Models for Agentic AIresearch.nvidia.com · 15 Oct 2026

Our capture of page 23