Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
MiniMax M2.7 has the cleaner overall profile here, landing at 57 versus 54. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
MiniMax M2.7's sharpest advantage is in coding, where it averages 56.2 against 38.7.
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 V3. MiniMax M2.7 gives you the larger context window at 200K, compared with 128K for DeepSeek V3.
Pick MiniMax M2.7 if you want the stronger benchmark profile. DeepSeek V3 only becomes the better choice if you want the cheaper token bill.
Comparable scores for this category are coming soon. One or both models do not have sourced results here yet.
DeepSeek V3
38.7
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.
Benchmark data for this category is coming soon.
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 54.
MiniMax M2.7 has the edge for coding in this comparison, averaging 56.2 versus 38.7. DeepSeek V3 stays close enough that the answer can still flip depending on your workload.
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