Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
DeepSeek Coder 2.0 is clearly ahead on the aggregate, 66 to 61. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
DeepSeek Coder 2.0's sharpest advantage is in agentic, where it averages 67.5 against 55.3. The single biggest benchmark swing on the page is HumanEval, 82 to 59. Nemotron 3 Super 120B A12B does hit back in multimodal & grounded, so the answer changes if that is the part of the workload you care about most.
DeepSeek Coder 2.0 is also the more expensive model on tokens at $0.27 input / $1.10 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Nemotron 3 Super 120B A12B. That is roughly Infinityx on output cost alone. Nemotron 3 Super 120B A12B gives you the larger context window at 256K, compared with 128K for DeepSeek Coder 2.0.
Pick DeepSeek Coder 2.0 if you want the stronger benchmark profile. Nemotron 3 Super 120B A12B only becomes the better choice if multimodal & grounded is the priority or you want the cheaper token bill.
DeepSeek Coder 2.0
67.5
Nemotron 3 Super 120B A12B
55.3
DeepSeek Coder 2.0
52.8
Nemotron 3 Super 120B A12B
44.2
DeepSeek Coder 2.0
58.6
Nemotron 3 Super 120B A12B
60.4
DeepSeek Coder 2.0
75.5
Nemotron 3 Super 120B A12B
71.8
DeepSeek Coder 2.0
59.6
Nemotron 3 Super 120B A12B
55.8
DeepSeek Coder 2.0
86
Nemotron 3 Super 120B A12B
86
DeepSeek Coder 2.0
79.8
Nemotron 3 Super 120B A12B
81.5
DeepSeek Coder 2.0
80.5
Nemotron 3 Super 120B A12B
74.6
DeepSeek Coder 2.0 is ahead overall, 66 to 61. The biggest single separator in this matchup is HumanEval, where the scores are 82 and 59.
DeepSeek Coder 2.0 has the edge for knowledge tasks in this comparison, averaging 59.6 versus 55.8. Inside this category, MMLU is the benchmark that creates the most daylight between them.
DeepSeek Coder 2.0 has the edge for coding in this comparison, averaging 52.8 versus 44.2. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
DeepSeek Coder 2.0 has the edge for math in this comparison, averaging 80.5 versus 74.6. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
DeepSeek Coder 2.0 has the edge for reasoning in this comparison, averaging 75.5 versus 71.8. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
DeepSeek Coder 2.0 has the edge for agentic tasks in this comparison, averaging 67.5 versus 55.3. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Nemotron 3 Super 120B A12B has the edge for multimodal and grounded tasks in this comparison, averaging 60.4 versus 58.6. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
DeepSeek Coder 2.0 and Nemotron 3 Super 120B A12B are effectively tied for instruction following here, both landing at 86 on average.
Nemotron 3 Super 120B A12B has the edge for multilingual tasks in this comparison, averaging 81.5 versus 79.8. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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