Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
MiniMax M2.7 is clearly ahead on the aggregate, 57 to 51. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
MiniMax M2.7's sharpest advantage is in coding, where it averages 56.2 against 18. The single biggest benchmark swing on the page is SWE-bench Pro, 18% to 56.2%.
MiniMax M2.7 is also the more expensive model on tokens at $0.30 input / $1.20 output per 1M tokens, versus $0.10 input / $0.40 output per 1M tokens for GPT-4.1 nano. That is roughly 3.0x on output cost alone. GPT-4.1 nano gives you the larger context window at 1M, compared with 200K for MiniMax M2.7.
Pick MiniMax M2.7 if you want the stronger benchmark profile. GPT-4.1 nano only becomes the better choice if you want the cheaper token bill or you need the larger 1M context window.
GPT-4.1 nano
47.4
MiniMax M2.7
57
GPT-4.1 nano
18
MiniMax M2.7
56.2
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.
MiniMax M2.7 is ahead overall, 57 to 51. The biggest single separator in this matchup is SWE-bench Pro, where the scores are 18% and 56.2%.
MiniMax M2.7 has the edge for coding in this comparison, averaging 56.2 versus 18. 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 47.4. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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