Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
GPT-5.4 mini finishes one point ahead overall, 58 to 57. 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.
GPT-5.4 mini's sharpest advantage is in agentic, where it averages 65.6 against 57. The single biggest benchmark swing on the page is Toolathlon, 42.9% to 46.3%. MiniMax M2.7 does hit back in coding, so the answer changes if that is the part of the workload you care about most.
GPT-5.4 mini is also the more expensive model on tokens at $0.75 input / $4.50 output per 1M tokens, versus $0.30 input / $1.20 output per 1M tokens for MiniMax M2.7. That is roughly 3.8x on output cost alone. GPT-5.4 mini is the reasoning model in the pair, while MiniMax M2.7 is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. GPT-5.4 mini gives you the larger context window at 400K, compared with 200K for MiniMax M2.7.
Pick GPT-5.4 mini if you want the stronger benchmark profile. MiniMax M2.7 only becomes the better choice if coding is the priority or you want the cheaper token bill.
GPT-5.4 mini
65.6
MiniMax M2.7
57
GPT-5.4 mini
54.4
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.
Benchmark data for this category is coming soon.
Benchmark data for this category is coming soon.
Benchmark data for this category is coming soon.
GPT-5.4 mini is ahead overall, 58 to 57. The biggest single separator in this matchup is Toolathlon, where the scores are 42.9% and 46.3%.
MiniMax M2.7 has the edge for coding in this comparison, averaging 56.2 versus 54.4. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
GPT-5.4 mini has the edge for agentic tasks in this comparison, averaging 65.6 versus 57. Inside this category, Toolathlon is the benchmark that creates the most daylight between them.
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