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 mathematics, where it averages 84 against 75.9. The single biggest benchmark swing on the page is MMMU-Pro, 64 to 80. Seed 1.6 does hit back in multimodal & grounded, so the answer changes if that is the part of the workload you care about most.
Seed 1.6 gives you the larger context window at 256K, compared with 128K for DeepSeekMath V2.
Pick DeepSeekMath V2 if you want the stronger benchmark profile. Seed 1.6 only becomes the better choice if multimodal & grounded is the priority or you need the larger 256K context window.
DeepSeekMath V2
63.9
Seed 1.6
62.3
DeepSeekMath V2
47.3
Seed 1.6
42.4
DeepSeekMath V2
68.1
Seed 1.6
79.6
DeepSeekMath V2
75.9
Seed 1.6
74.5
DeepSeekMath V2
61
Seed 1.6
56.4
DeepSeekMath V2
83
Seed 1.6
87
DeepSeekMath V2
82.5
Seed 1.6
83.4
DeepSeekMath V2
84
Seed 1.6
75.9
DeepSeekMath V2 is ahead overall, 66 to 65. The biggest single separator in this matchup is MMMU-Pro, where the scores are 64 and 80.
DeepSeekMath V2 has the edge for knowledge tasks in this comparison, averaging 61 versus 56.4. Inside this category, MMLU is the benchmark that creates the most daylight between them.
DeepSeekMath V2 has the edge for coding in this comparison, averaging 47.3 versus 42.4. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
DeepSeekMath V2 has the edge for math in this comparison, averaging 84 versus 75.9. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
DeepSeekMath V2 has the edge for reasoning in this comparison, averaging 75.9 versus 74.5. Inside this category, SimpleQA 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 62.3. Inside this category, OSWorld-Verified is the benchmark that creates the most daylight between them.
Seed 1.6 has the edge for multimodal and grounded tasks in this comparison, averaging 79.6 versus 68.1. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Seed 1.6 has the edge for instruction following in this comparison, averaging 87 versus 83. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Seed 1.6 has the edge for multilingual tasks in this comparison, averaging 83.4 versus 82.5. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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