Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Seed 1.6 Flash has the cleaner overall profile here, landing at 56 versus 53. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
Seed 1.6 Flash's sharpest advantage is in agentic, where it averages 54.5 against 46.2. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 52 to 43.
Seed-2.0-Mini is also the more expensive model on tokens at $0.10 input / $0.40 output per 1M tokens, versus $0.08 input / $0.30 output per 1M tokens for Seed 1.6 Flash. Seed 1.6 Flash is the reasoning model in the pair, while Seed-2.0-Mini 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.
Pick Seed 1.6 Flash if you want the stronger benchmark profile. Seed-2.0-Mini only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.
Seed 1.6 Flash
54.5
Seed-2.0-Mini
46.2
Seed 1.6 Flash
27.6
Seed-2.0-Mini
24.7
Seed 1.6 Flash
73.1
Seed-2.0-Mini
73.1
Seed 1.6 Flash
66.8
Seed-2.0-Mini
64.8
Seed 1.6 Flash
47.3
Seed-2.0-Mini
44.6
Seed 1.6 Flash
81
Seed-2.0-Mini
80
Seed 1.6 Flash
72.8
Seed-2.0-Mini
71.8
Seed 1.6 Flash
67.1
Seed-2.0-Mini
65.1
Seed 1.6 Flash is ahead overall, 56 to 53. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 52 and 43.
Seed 1.6 Flash has the edge for knowledge tasks in this comparison, averaging 47.3 versus 44.6. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Seed 1.6 Flash has the edge for coding in this comparison, averaging 27.6 versus 24.7. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
Seed 1.6 Flash has the edge for math in this comparison, averaging 67.1 versus 65.1. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
Seed 1.6 Flash has the edge for reasoning in this comparison, averaging 66.8 versus 64.8. 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 46.2. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Seed 1.6 Flash and Seed-2.0-Mini are effectively tied for multimodal and grounded tasks here, both landing at 73.1 on average.
Seed 1.6 Flash has the edge for instruction following in this comparison, averaging 81 versus 80. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Seed 1.6 Flash has the edge for multilingual tasks in this comparison, averaging 72.8 versus 71.8. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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