Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Qwen2.5-1M 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.
Qwen2.5-1M's sharpest advantage is in agentic, where it averages 64.7 against 55.3. The single biggest benchmark swing on the page is AIME 2023, 85 to 67. Nemotron 3 Super 120B A12B does hit back in instruction following, so the answer changes if that is the part of the workload you care about most.
Qwen2.5-1M gives you the larger context window at 1M, compared with 256K for Nemotron 3 Super 120B A12B.
Pick Qwen2.5-1M if you want the stronger benchmark profile. Nemotron 3 Super 120B A12B only becomes the better choice if instruction following is the priority.
Qwen2.5-1M
64.7
Nemotron 3 Super 120B A12B
55.3
Qwen2.5-1M
44.8
Nemotron 3 Super 120B A12B
44.2
Qwen2.5-1M
68.4
Nemotron 3 Super 120B A12B
60.4
Qwen2.5-1M
80.9
Nemotron 3 Super 120B A12B
71.8
Qwen2.5-1M
60.4
Nemotron 3 Super 120B A12B
55.8
Qwen2.5-1M
84
Nemotron 3 Super 120B A12B
86
Qwen2.5-1M
80.4
Nemotron 3 Super 120B A12B
81.5
Qwen2.5-1M
83.6
Nemotron 3 Super 120B A12B
74.6
Qwen2.5-1M is ahead overall, 66 to 61. The biggest single separator in this matchup is AIME 2023, where the scores are 85 and 67.
Qwen2.5-1M has the edge for knowledge tasks in this comparison, averaging 60.4 versus 55.8. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Qwen2.5-1M has the edge for coding in this comparison, averaging 44.8 versus 44.2. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
Qwen2.5-1M has the edge for math in this comparison, averaging 83.6 versus 74.6. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
Qwen2.5-1M has the edge for reasoning in this comparison, averaging 80.9 versus 71.8. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
Qwen2.5-1M has the edge for agentic tasks in this comparison, averaging 64.7 versus 55.3. Inside this category, BrowseComp is the benchmark that creates the most daylight between them.
Qwen2.5-1M has the edge for multimodal and grounded tasks in this comparison, averaging 68.4 versus 60.4. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Nemotron 3 Super 120B A12B has the edge for instruction following in this comparison, averaging 86 versus 84. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Nemotron 3 Super 120B A12B has the edge for multilingual tasks in this comparison, averaging 81.5 versus 80.4. Inside this category, MGSM is the benchmark that creates the most daylight between them.
Get notified when new models drop, benchmark scores change, or the leaderboard shifts. One email per week.
Free. No spam. Unsubscribe anytime. We only store derived location metadata for consent routing.