Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Kimi K2.5 (Reasoning) is clearly ahead on the aggregate, 67 to 57. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Kimi K2.5 (Reasoning)'s sharpest advantage is in coding, where it averages 82.9 against 56.2. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 50.8% to 57%.
Kimi K2.5 (Reasoning) 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. MiniMax M2.7 gives you the larger context window at 200K, compared with 128K for Kimi K2.5 (Reasoning).
Pick Kimi K2.5 (Reasoning) if you want the stronger benchmark profile. MiniMax M2.7 only becomes the better choice if you need the larger 200K context window or you would rather avoid the extra latency and token burn of a reasoning model.
Kimi K2.5 (Reasoning)
57.6
MiniMax M2.7
57
Kimi K2.5 (Reasoning)
82.9
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.
Kimi K2.5 (Reasoning) is ahead overall, 67 to 57. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 50.8% and 57%.
Kimi K2.5 (Reasoning) has the edge for coding in this comparison, averaging 82.9 versus 56.2. MiniMax M2.7 stays close enough that the answer can still flip depending on your workload.
Kimi K2.5 (Reasoning) has the edge for agentic tasks in this comparison, averaging 57.6 versus 57. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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