[whatmodel.sh](../../README.md) / Nemotron 3.5 Bolt 74B A9B # Nemotron 3.5 Bolt 74B A9B NVIDIA · released 2026-10 · 74B params (9B active) · open-mdw-1.1 **score 67.8** ±2.1 · #104 of 732 · from 5 benchmark results across 1 source · † no independently run results verified Score within the [LMArena (text)](https://whatmodel.sh/?set=lmarena-text&score=set) comparison set only. ## What it's good at ● marks Nemotron 3.5 Bolt 74B A9B among every model on that task or test, worst to best. 
task         vs the others            rank  counts  tests
agent tasks  ▁▁▃▆█▄▅●▄▄▂▁       #86 of 313     38%      3
coding                      not ranked yet       —      1
web search   ●··········█         #2 of 2*     12%      1
agent tasks · #86 of 313 · 38% of its score Beats [Grok 4.20 (0309 reasoning)](grok-4-20.md), [GPT-5.1](gpt-5-1.md), [o3-pro](o3-pro.md) here, though they rank higher overall. Trails [MiniMax-M2.7](minimax-m2-7.md), [Step 3.5 Flash (196B-A11B)](step-3-5-flash.md) here, though they rank lower overall. 
test                        result  vs the others in its run  difficulty            counts  why
Terminal-Bench 2.1 (maker)   53.9%  ▁·▁·▁▁▄▃●█▅█ beats 20/63  hard · avg 16%           20%  sharp · at its level · small run
BrowseComp (maker)           70.0%  ▂·▃▁▂▂▆▅●▂▂▄ beats 35/46  hard · avg 31%           12%  at its level · small run
τ³-bench Banking (maker)     17.0%  ▂▂·▅█▂▃▃●▆▂▅ beats 16/24  very hard · avg 6.5%    6.1%  blunt · small run
coding · 0.0% of its score 
test                                result  vs the others in its run  difficulty           counts  why
SciCode (level unspecified) (make…   44.5%  ▁····▃▃▄▅█●▂ beats 35/40  very hard · avg 13%       —  not counted yet: no other model in the …
web search · #2 of 2 · 12% of its score Trails [Nemotron 3.5 Super VL 120B A12B](nemotron-3-5-super-vl-120b-a12b.md) here, though they rank lower overall. 
test                result  vs the others in its run  difficulty      counts  why
BrowseComp (maker)   70.0%  ▂·▃▁▂▂▆▅●▂▂▄ beats 35/46  hard · avg 31%     12%  at its level · small run
other tests (3) 
test                            result  vs the others in its run    difficulty            counts  why
GPQA Diamond (maker)             88.8%  ▁▁▁▁▂▄▅▅██●▄ beats 263/322  hard · avg 47%           35%  sharp · small run
Humanity's Last Exam (maker)     28.7%  ▁▁▁▄▆▆▇●█▆▁▃ beats 72/111   very hard · avg 5.5%     26%  at its level · small run
MCP-Atlas v1 public500 (maker)   55.6%  ●·····█····█ beats 0/2                                 —  not counted yet: no other model in the …
## How the score was worked out Each result implies a score on its own, after adjusting for how hard that test is and who ran it. The model's score is their weighted average, with a small pull toward the middle for thinly tested models. Each test's weight is its *counts* column above; here it is added up by who ran the tests. [Method](../method.md) 
source                                    results  share of the score
NVIDIA vendor-reported benchmark scores…        5   98% ▇▇▇▇▇▇▇▇▇▇▇▇
prior: pull toward the middle                        2% ▇
weighted average                                   = 67.8
Not counted (2) 
source                  test                         score  why
NVIDIA vendor-reporte…  SciCode (level unspecified)  44.5%  too few models have it yet
NVIDIA vendor-reporte…  MCP-Atlas v1 public500       55.6%  too few models have it yet
## How to run it ### Other ways to run it 1. Run it as published (BF16, needs ~148 GB, NVIDIA only, from [huggingface.co/nvidia](https://huggingface.co/nvidia/NVIDIA-Nemotron-3.5-Bolt-74B-A9B-BF16/blob/567021037ff88364143e24ea05e6abd0f72086ff/README.md)) ```sh wget https://huggingface.co/nvidia/NVIDIA-Nemotron-3.5-Bolt-74B-A9B-BF16/resolve/main/ultra_v3_reasoning_parser.py export VLLM_USE_V2_MODEL_RUNNER=1 vllm serve nvidia/NVIDIA-Nemotron-3.5-Bolt-74B-A9B-BF16 \ --trust-remote-code \ --load-format auto \ --tensor-parallel-size 1 \ --max-model-len 262144 \ --max-num-seqs 1 \ --enable-chunked-prefill \ --attention-backend FLASHINFER \ --mamba-backend flashinfer \ --mamba-cache-mode align \ --seed 42 \ --allowed-local-media-path / \ --limit-mm-per-prompt '{"video":1,"image":1}' \ --video-pruning-rate 0.5 \ --media-io-kwargs '{"video":{"fps":2,"num_frames":256}}' \ --enable-auto-tool-choice \ --tool-call-parser qwen3_coder \ --reasoning-parser-plugin ultra_v3_reasoning_parser.py \ --reasoning-parser ultra_v3 ``` Model repository and documentation: [huggingface.co/nvidia](https://huggingface.co/nvidia/NVIDIA-Nemotron-3.5-Bolt-74B-A9B-BF16) [interactive version](https://whatmodel.sh/model/nemotron-3-5-bolt-74b-a9b) · [JSON](https://whatmodel.sh/api?format=json&all=1)