Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
DeepSeek Coder 2.0 is clearly ahead on the aggregate, 66 to 57. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
DeepSeek Coder 2.0's sharpest advantage is in agentic, where it averages 67.5 against 57. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 73% to 57%. MiniMax M2.7 does hit back in coding, so the answer changes if that is the part of the workload you care about most.
MiniMax M2.7 is also the more expensive model on tokens at $0.30 input / $1.20 output per 1M tokens, versus $0.27 input / $1.10 output per 1M tokens for DeepSeek Coder 2.0. MiniMax M2.7 gives you the larger context window at 200K, compared with 128K for DeepSeek Coder 2.0.
Pick DeepSeek Coder 2.0 if you want the stronger benchmark profile. MiniMax M2.7 only becomes the better choice if coding is the priority or you need the larger 200K context window.
DeepSeek Coder 2.0
67.5
MiniMax M2.7
57
DeepSeek Coder 2.0
52.7
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.
DeepSeek Coder 2.0 is ahead overall, 66 to 57. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 73% and 57%.
MiniMax M2.7 has the edge for coding in this comparison, averaging 56.2 versus 52.7. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
DeepSeek Coder 2.0 has the edge for agentic tasks in this comparison, averaging 67.5 versus 57. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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