Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
MiniMax M2.5 has the cleaner overall profile here, landing at 59 versus 56. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
MiniMax M2.5's sharpest advantage is in coding, where it averages 38.7 against 27.6. The single biggest benchmark swing on the page is SWE-bench Verified, 45 to 24. Seed 1.6 Flash does hit back in multimodal & grounded, so the answer changes if that is the part of the workload you care about most.
MiniMax M2.5 is also the more expensive model on tokens at $0.30 input / $1.20 output per 1M tokens, versus $0.08 input / $0.30 output per 1M tokens for Seed 1.6 Flash. That is roughly 4.0x on output cost alone. Seed 1.6 Flash is the reasoning model in the pair, while MiniMax M2.5 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. Seed 1.6 Flash gives you the larger context window at 256K, compared with 128K for MiniMax M2.5.
Pick MiniMax M2.5 if you want the stronger benchmark profile. Seed 1.6 Flash only becomes the better choice if multimodal & grounded is the priority or you want the cheaper token bill.
MiniMax M2.5
53.4
Seed 1.6 Flash
54.5
MiniMax M2.5
38.7
Seed 1.6 Flash
27.6
MiniMax M2.5
62
Seed 1.6 Flash
73.1
MiniMax M2.5
69.6
Seed 1.6 Flash
66.8
MiniMax M2.5
55.3
Seed 1.6 Flash
47.3
MiniMax M2.5
85
Seed 1.6 Flash
81
MiniMax M2.5
82.1
Seed 1.6 Flash
72.8
MiniMax M2.5
76.1
Seed 1.6 Flash
67.1
MiniMax M2.5 is ahead overall, 59 to 56. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 45 and 24.
MiniMax M2.5 has the edge for knowledge tasks in this comparison, averaging 55.3 versus 47.3. Inside this category, FrontierScience is the benchmark that creates the most daylight between them.
MiniMax M2.5 has the edge for coding in this comparison, averaging 38.7 versus 27.6. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
MiniMax M2.5 has the edge for math in this comparison, averaging 76.1 versus 67.1. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
MiniMax M2.5 has the edge for reasoning in this comparison, averaging 69.6 versus 66.8. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
Seed 1.6 Flash has the edge for agentic tasks in this comparison, averaging 54.5 versus 53.4. Inside this category, OSWorld-Verified is the benchmark that creates the most daylight between them.
Seed 1.6 Flash has the edge for multimodal and grounded tasks in this comparison, averaging 73.1 versus 62. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
MiniMax M2.5 has the edge for instruction following in this comparison, averaging 85 versus 81. Inside this category, IFEval is the benchmark that creates the most daylight between them.
MiniMax M2.5 has the edge for multilingual tasks in this comparison, averaging 82.1 versus 72.8. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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