Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Claude Haiku 4.5 finishes one point ahead overall, 62 to 61. That is enough to call, but not enough to treat as a blowout. This matchup comes down to a few meaningful edges rather than one model dominating the board.
Claude Haiku 4.5's sharpest advantage is in multimodal & grounded, where it averages 78.4 against 60.4. The single biggest benchmark swing on the page is MMMU-Pro, 82 to 55. Nemotron 3 Super 120B A12B does hit back in reasoning, so the answer changes if that is the part of the workload you care about most.
Claude Haiku 4.5 is also the more expensive model on tokens at $0.80 input / $4.00 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 Haiku 4.5.
Pick Claude Haiku 4.5 if you want the stronger benchmark profile. Nemotron 3 Super 120B A12B only becomes the better choice if reasoning is the priority or you want the cheaper token bill.
Claude Haiku 4.5
56.7
Nemotron 3 Super 120B A12B
55.3
Claude Haiku 4.5
41.7
Nemotron 3 Super 120B A12B
44.2
Claude Haiku 4.5
78.4
Nemotron 3 Super 120B A12B
60.4
Claude Haiku 4.5
68.9
Nemotron 3 Super 120B A12B
71.8
Claude Haiku 4.5
53.6
Nemotron 3 Super 120B A12B
55.8
Claude Haiku 4.5
86
Nemotron 3 Super 120B A12B
86
Claude Haiku 4.5
80.1
Nemotron 3 Super 120B A12B
81.5
Claude Haiku 4.5
73.3
Nemotron 3 Super 120B A12B
74.6
Claude Haiku 4.5 is ahead overall, 62 to 61. The biggest single separator in this matchup is MMMU-Pro, where the scores are 82 and 55.
Nemotron 3 Super 120B A12B has the edge for knowledge tasks in this comparison, averaging 55.8 versus 53.6. Inside this category, HLE is the benchmark that creates the most daylight between them.
Nemotron 3 Super 120B A12B has the edge for coding in this comparison, averaging 44.2 versus 41.7. Inside this category, LiveCodeBench is the benchmark that creates the most daylight between them.
Nemotron 3 Super 120B A12B has the edge for math in this comparison, averaging 74.6 versus 73.3. Inside this category, MATH-500 is the benchmark that creates the most daylight between them.
Nemotron 3 Super 120B A12B has the edge for reasoning in this comparison, averaging 71.8 versus 68.9. Inside this category, BBH is the benchmark that creates the most daylight between them.
Claude Haiku 4.5 has the edge for agentic tasks in this comparison, averaging 56.7 versus 55.3. Inside this category, OSWorld-Verified is the benchmark that creates the most daylight between them.
Claude Haiku 4.5 has the edge for multimodal and grounded tasks in this comparison, averaging 78.4 versus 60.4. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Claude Haiku 4.5 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 80.1. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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