Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Seed 1.6 has the cleaner overall profile here, landing at 65 versus 62. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
Seed 1.6's sharpest advantage is in agentic, where it averages 62.3 against 56.7. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 63 to 53.
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 1.6. That is roughly 2.0x on output cost alone. Seed 1.6 is the reasoning model in the pair, while Claude Haiku 4.5 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 gives you the larger context window at 256K, compared with 200K for Claude Haiku 4.5.
Pick Seed 1.6 if you want the stronger benchmark profile. Claude Haiku 4.5 only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.
Seed 1.6
62.3
Claude Haiku 4.5
56.7
Seed 1.6
42.4
Claude Haiku 4.5
41.7
Seed 1.6
79.6
Claude Haiku 4.5
78.4
Seed 1.6
74.5
Claude Haiku 4.5
68.9
Seed 1.6
56.4
Claude Haiku 4.5
53.6
Seed 1.6
87
Claude Haiku 4.5
86
Seed 1.6
83.4
Claude Haiku 4.5
80.1
Seed 1.6
75.9
Claude Haiku 4.5
73.3
Seed 1.6 is ahead overall, 65 to 62. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 63 and 53.
Seed 1.6 has the edge for knowledge tasks in this comparison, averaging 56.4 versus 53.6. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Seed 1.6 has the edge for coding in this comparison, averaging 42.4 versus 41.7. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
Seed 1.6 has the edge for math in this comparison, averaging 75.9 versus 73.3. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
Seed 1.6 has the edge for reasoning in this comparison, averaging 74.5 versus 68.9. Inside this category, MRCRv2 is the benchmark that creates the most daylight between them.
Seed 1.6 has the edge for agentic tasks in this comparison, averaging 62.3 versus 56.7. Inside this category, Terminal-Bench 2.0 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 78.4. Inside this category, OfficeQA 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 86. 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 80.1. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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