Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Claude Sonnet 4.6 is clearly ahead on the aggregate, 78 to 53. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Claude Sonnet 4.6's sharpest advantage is in coding, where it averages 60 against 24.7. The single biggest benchmark swing on the page is SWE-bench Verified, 69 to 22.
Claude Sonnet 4.6 is also the more expensive model on tokens at $3.00 input / $15.00 output per 1M tokens, versus $0.10 input / $0.40 output per 1M tokens for Seed-2.0-Mini. That is roughly 37.5x on output cost alone. Seed-2.0-Mini gives you the larger context window at 256K, compared with 200K for Claude Sonnet 4.6.
Pick Claude Sonnet 4.6 if you want the stronger benchmark profile. Seed-2.0-Mini only becomes the better choice if you want the cheaper token bill or you need the larger 256K context window.
Claude Sonnet 4.6
71.1
Seed-2.0-Mini
46.2
Claude Sonnet 4.6
60
Seed-2.0-Mini
24.7
Claude Sonnet 4.6
91.9
Seed-2.0-Mini
73.1
Claude Sonnet 4.6
87.6
Seed-2.0-Mini
64.8
Claude Sonnet 4.6
71.8
Seed-2.0-Mini
44.6
Claude Sonnet 4.6
91
Seed-2.0-Mini
80
Claude Sonnet 4.6
89.7
Seed-2.0-Mini
71.8
Claude Sonnet 4.6
94.1
Seed-2.0-Mini
65.1
Claude Sonnet 4.6 is ahead overall, 78 to 53. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 69 and 22.
Claude Sonnet 4.6 has the edge for knowledge tasks in this comparison, averaging 71.8 versus 44.6. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Claude Sonnet 4.6 has the edge for coding in this comparison, averaging 60 versus 24.7. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
Claude Sonnet 4.6 has the edge for math in this comparison, averaging 94.1 versus 65.1. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
Claude Sonnet 4.6 has the edge for reasoning in this comparison, averaging 87.6 versus 64.8. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
Claude Sonnet 4.6 has the edge for agentic tasks in this comparison, averaging 71.1 versus 46.2. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Claude Sonnet 4.6 has the edge for multimodal and grounded tasks in this comparison, averaging 91.9 versus 73.1. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Claude Sonnet 4.6 has the edge for instruction following in this comparison, averaging 91 versus 80. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Claude Sonnet 4.6 has the edge for multilingual tasks in this comparison, averaging 89.7 versus 71.8. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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