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 44. 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 26.1. The single biggest benchmark swing on the page is SWE-bench Pro, 25% to 56.2%.
DeepSeek-R1 is also the more expensive model on tokens at $0.55 input / $2.19 output per 1M tokens, versus $0.30 input / $1.20 output per 1M tokens for MiniMax M2.7. DeepSeek-R1 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 DeepSeek-R1.
Pick MiniMax M2.7 if you want the stronger benchmark profile. DeepSeek-R1 only becomes the better choice if you want the stronger reasoning-first profile.
DeepSeek-R1
44.5
MiniMax M2.7
57
DeepSeek-R1
26.1
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 44. The biggest single separator in this matchup is SWE-bench Pro, where the scores are 25% and 56.2%.
MiniMax M2.7 has the edge for coding in this comparison, averaging 56.2 versus 26.1. 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 44.5. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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