Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
DeepSeekMath V2 finishes one point ahead overall, 66 to 65. 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.
DeepSeekMath V2's sharpest advantage is in coding, where it averages 47.3 against 41.1. The single biggest benchmark swing on the page is HLE, 18 to 9. Mercury 2 does hit back in reasoning, so the answer changes if that is the part of the workload you care about most.
Pick DeepSeekMath V2 if you want the stronger benchmark profile. Mercury 2 only becomes the better choice if reasoning is the priority.
DeepSeekMath V2
63.9
Mercury 2
63.7
DeepSeekMath V2
47.3
Mercury 2
41.1
DeepSeekMath V2
68.1
Mercury 2
68.3
DeepSeekMath V2
75.9
Mercury 2
80.1
DeepSeekMath V2
61
Mercury 2
57.2
DeepSeekMath V2
83
Mercury 2
84
DeepSeekMath V2
82.5
Mercury 2
79.7
DeepSeekMath V2
84
Mercury 2
80.9
DeepSeekMath V2 is ahead overall, 66 to 65. The biggest single separator in this matchup is HLE, where the scores are 18 and 9.
DeepSeekMath V2 has the edge for knowledge tasks in this comparison, averaging 61 versus 57.2. Inside this category, HLE is the benchmark that creates the most daylight between them.
DeepSeekMath V2 has the edge for coding in this comparison, averaging 47.3 versus 41.1. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
DeepSeekMath V2 has the edge for math in this comparison, averaging 84 versus 80.9. Inside this category, MATH-500 is the benchmark that creates the most daylight between them.
Mercury 2 has the edge for reasoning in this comparison, averaging 80.1 versus 75.9. Inside this category, MuSR is the benchmark that creates the most daylight between them.
DeepSeekMath V2 has the edge for agentic tasks in this comparison, averaging 63.9 versus 63.7. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Mercury 2 has the edge for multimodal and grounded tasks in this comparison, averaging 68.3 versus 68.1. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Mercury 2 has the edge for instruction following in this comparison, averaging 84 versus 83. Inside this category, IFEval is the benchmark that creates the most daylight between them.
DeepSeekMath V2 has the edge for multilingual tasks in this comparison, averaging 82.5 versus 79.7. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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