Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Nemotron 3 Super 100B has the cleaner overall profile here, landing at 60 versus 57. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
MiniMax M2.7 is also the more expensive model on tokens at $0.30 input / $1.20 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Nemotron 3 Super 100B. That is roughly Infinityx on output cost alone. Nemotron 3 Super 100B gives you the larger context window at 1M, compared with 200K for MiniMax M2.7.
Pick Nemotron 3 Super 100B if you want the stronger benchmark profile. MiniMax M2.7 only becomes the better choice if coding is the priority.
MiniMax M2.7
57
Nemotron 3 Super 100B
56.6
MiniMax M2.7
56.2
Nemotron 3 Super 100B
41.5
Comparable scores for this category are coming soon. One or both models do not have sourced results here yet.
Comparable scores for this category are coming soon. One or both models do not have sourced results here yet.
Comparable scores for this category are coming soon. One or both models do not have sourced results here yet.
Comparable scores for this category are coming soon. One or both models do not have sourced results here yet.
Comparable scores for this category are coming soon. One or both models do not have sourced results here yet.
Comparable scores for this category are coming soon. One or both models do not have sourced results here yet.
Nemotron 3 Super 100B is ahead overall, 60 to 57. The biggest single separator in this matchup is SWE-bench Pro, where the scores are 56.2% and 44%.
MiniMax M2.7 has the edge for coding in this comparison, averaging 56.2 versus 41.5. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
MiniMax M2.7 has the edge for agentic tasks in this comparison, averaging 57 versus 56.6. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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