DeepSeek-V3.2-Exp-Base vs NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-Base-BF16
Wins 0 of 1 area
—
Wins 1 of 1 area
Reasoning
NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-Base-BF16 is the stronger all-rounder.
Scores updated · 16 tests both models report · How we compare
Where each one wins
Tests won in each of the one area where both have results. Each piece is one test, so a longer bar means more evidence; grey means the two scored within a point of each other.
Reasoning rests on a single test.
The biggest differences
The tests each model wins by the widest margin, up to three each. Scores are out of 100.
Where NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-Base-BF16 pulls ahead
- Graduate-level biology, physics and chemistry questionsGPQA Diamond+34.4points ahead
Where DeepSeek-V3.2-Exp-Base pulls ahead
No clear win on a test scored out of 100.
Every test, side by side
All 16 tests both models report. The winning score is in its model's colour; marks a score checked independently.
ReasoningNVIDIA-Nemotron-3.5-Super-VL-120B-A12B-Base-BF16
- GPQA DiamondNVIDIA-Nemotron-3.5-Super-VL-120B-A12B-Base-BF16 by 34.431.866.2+34.4
Other results15 tests, not counted
Tests outside the eight areas. They are not counted above: several are summary scores built from other tests, or the same test under another name.
- MBPP-SanitizedNVIDIA-Nemotron-3.5-Super-VL-120B-A12B-Base-BF16 by 20.458.779.1+20.4
- HumanEvalNVIDIA-Nemotron-3.5-Super-VL-120B-A12B-Base-BF16 by 19.461.981.3+19.4
- MMLU-ProNVIDIA-Nemotron-3.5-Super-VL-120B-A12B-Base-BF16 by 1363.376.3+13
- GSM8KNVIDIA-Nemotron-3.5-Super-VL-120B-A12B-Base-BF16 by 7.384.491.7+7.3
- AGIEval-EnNVIDIA-Nemotron-3.5-Super-VL-120B-A12B-Base-BF16 by 5.670.175.7+5.6
- MGSMNVIDIA-Nemotron-3.5-Super-VL-120B-A12B-Base-BF16 by 5.282.387.5+5.2
- GlobalMMLUNVIDIA-Nemotron-3.5-Super-VL-120B-A12B-Base-BF16 by 4.68286.6+4.6
- WinoGrandeDeepSeek-V3.2-Exp-Base by 4.383.479.1+4.3
- SuperGPQANVIDIA-Nemotron-3.5-Super-VL-120B-A12B-Base-BF16 by 4.143.647.6+4.1
- MMLUDeepSeek-V3.2-Exp-Base by 3.787.884.1+3.7
- RACEDeepSeek-V3.2-Exp-Base by 1.893.291.4+1.8
- ARC-Challengetie95.296tie
- OpenBookQAtie48.248.8tie
- HellaSwagtie89.489tie
- PIQAtie85.185.1tie
Questions people ask
Which is better, DeepSeek-V3.2-Exp-Base or NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-Base-BF16?
NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-Base-BF16 wins the one area where both have results: reasoning. DeepSeek-V3.2-Exp-Base wins none.
How do you compare the two?
We use the 16 benchmark tests both models have published scores on. The verdict counts the 1 tests in the eight capability areas, and a gap under one point (ten on rating-style scales) counts as a tie. The other 15 are listed but not counted, because several are summary scores or repeat a test. Each score is the one shown on the model's own page.