Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Seed-2.0-Lite finishes one point ahead overall, 63 to 62. 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.
Seed-2.0-Lite's sharpest advantage is in reasoning, where it averages 73 against 68.9. The single biggest benchmark swing on the page is MRCRv2, 77 to 70. Claude Haiku 4.5 does hit back in agentic, so the answer changes if that is the part of the workload you care about most.
Claude Haiku 4.5 is also the more expensive model on tokens at $0.80 input / $4.00 output per 1M tokens, versus $0.25 input / $2.00 output per 1M tokens for Seed-2.0-Lite. That is roughly 2.0x on output cost alone. Seed-2.0-Lite gives you the larger context window at 256K, compared with 200K for Claude Haiku 4.5.
Pick Seed-2.0-Lite if you want the stronger benchmark profile. Claude Haiku 4.5 only becomes the better choice if agentic is the priority.
Seed-2.0-Lite
55.1
Claude Haiku 4.5
56.7
Seed-2.0-Lite
41.4
Claude Haiku 4.5
41.7
Seed-2.0-Lite
79.6
Claude Haiku 4.5
78.4
Seed-2.0-Lite
73
Claude Haiku 4.5
68.9
Seed-2.0-Lite
53.9
Claude Haiku 4.5
53.6
Seed-2.0-Lite
89
Claude Haiku 4.5
86
Seed-2.0-Lite
82.5
Claude Haiku 4.5
80.1
Seed-2.0-Lite
75
Claude Haiku 4.5
73.3
Seed-2.0-Lite is ahead overall, 63 to 62. The biggest single separator in this matchup is MRCRv2, where the scores are 77 and 70.
Seed-2.0-Lite has the edge for knowledge tasks in this comparison, averaging 53.9 versus 53.6. Inside this category, HLE is the benchmark that creates the most daylight between them.
Claude Haiku 4.5 has the edge for coding in this comparison, averaging 41.7 versus 41.4. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
Seed-2.0-Lite has the edge for math in this comparison, averaging 75 versus 73.3. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
Seed-2.0-Lite has the edge for reasoning in this comparison, averaging 73 versus 68.9. Inside this category, MRCRv2 is the benchmark that creates the most daylight between them.
Claude Haiku 4.5 has the edge for agentic tasks in this comparison, averaging 56.7 versus 55.1. Inside this category, OSWorld-Verified is the benchmark that creates the most daylight between them.
Seed-2.0-Lite has the edge for multimodal and grounded tasks in this comparison, averaging 79.6 versus 78.4. Inside this category, OfficeQA Pro is the benchmark that creates the most daylight between them.
Seed-2.0-Lite has the edge for instruction following in this comparison, averaging 89 versus 86. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Seed-2.0-Lite has the edge for multilingual tasks in this comparison, averaging 82.5 versus 80.1. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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