Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Claude Sonnet 4.6 is clearly ahead on the aggregate, 78 to 61. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Claude Sonnet 4.6's sharpest advantage is in multimodal & grounded, where it averages 91.9 against 60.4. The single biggest benchmark swing on the page is MMMU-Pro, 95 to 55.
Claude Sonnet 4.6 is also the more expensive model on tokens at $3.00 input / $15.00 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 200K for Claude Sonnet 4.6.
Pick Claude Sonnet 4.6 if you want the stronger benchmark profile. Nemotron 3 Super 120B A12B only becomes the better choice if you want the cheaper token bill or you need the larger 256K context window.
Claude Sonnet 4.6
71.1
Nemotron 3 Super 120B A12B
55.3
Claude Sonnet 4.6
60
Nemotron 3 Super 120B A12B
44.2
Claude Sonnet 4.6
91.9
Nemotron 3 Super 120B A12B
60.4
Claude Sonnet 4.6
87.6
Nemotron 3 Super 120B A12B
71.8
Claude Sonnet 4.6
71.8
Nemotron 3 Super 120B A12B
55.8
Claude Sonnet 4.6
91
Nemotron 3 Super 120B A12B
86
Claude Sonnet 4.6
89.7
Nemotron 3 Super 120B A12B
81.5
Claude Sonnet 4.6
94.1
Nemotron 3 Super 120B A12B
74.6
Claude Sonnet 4.6 is ahead overall, 78 to 61. The biggest single separator in this matchup is MMMU-Pro, where the scores are 95 and 55.
Claude Sonnet 4.6 has the edge for knowledge tasks in this comparison, averaging 71.8 versus 55.8. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Claude Sonnet 4.6 has the edge for coding in this comparison, averaging 60 versus 44.2. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
Claude Sonnet 4.6 has the edge for math in this comparison, averaging 94.1 versus 74.6. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
Claude Sonnet 4.6 has the edge for reasoning in this comparison, averaging 87.6 versus 71.8. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
Claude Sonnet 4.6 has the edge for agentic tasks in this comparison, averaging 71.1 versus 55.3. Inside this category, BrowseComp is the benchmark that creates the most daylight between them.
Claude Sonnet 4.6 has the edge for multimodal and grounded tasks in this comparison, averaging 91.9 versus 60.4. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Claude Sonnet 4.6 has the edge for instruction following in this comparison, averaging 91 versus 86. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Claude Sonnet 4.6 has the edge for multilingual tasks in this comparison, averaging 89.7 versus 81.5. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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