Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Claude Haiku 4.5 is clearly ahead on the aggregate, 62 to 56. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Claude Haiku 4.5's sharpest advantage is in coding, where it averages 41.7 against 27.6. The single biggest benchmark swing on the page is SWE-bench Verified, 48 to 24.
Claude Haiku 4.5 is also the more expensive model on tokens at $0.80 input / $4.00 output per 1M tokens, versus $0.08 input / $0.30 output per 1M tokens for Seed 1.6 Flash. That is roughly 13.3x on output cost alone. Seed 1.6 Flash 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 Flash gives you the larger context window at 256K, compared with 200K for Claude Haiku 4.5.
Pick Claude Haiku 4.5 if you want the stronger benchmark profile. Seed 1.6 Flash only becomes the better choice if you want the cheaper token bill or you need the larger 256K context window.
Claude Haiku 4.5
56.7
Seed 1.6 Flash
54.5
Claude Haiku 4.5
41.7
Seed 1.6 Flash
27.6
Claude Haiku 4.5
78.4
Seed 1.6 Flash
73.1
Claude Haiku 4.5
68.9
Seed 1.6 Flash
66.8
Claude Haiku 4.5
53.6
Seed 1.6 Flash
47.3
Claude Haiku 4.5
86
Seed 1.6 Flash
81
Claude Haiku 4.5
80.1
Seed 1.6 Flash
72.8
Claude Haiku 4.5
73.3
Seed 1.6 Flash
67.1
Claude Haiku 4.5 is ahead overall, 62 to 56. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 48 and 24.
Claude Haiku 4.5 has the edge for knowledge tasks in this comparison, averaging 53.6 versus 47.3. Inside this category, MMLU-Pro 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 27.6. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
Claude Haiku 4.5 has the edge for math in this comparison, averaging 73.3 versus 67.1. Inside this category, MATH-500 is the benchmark that creates the most daylight between them.
Claude Haiku 4.5 has the edge for reasoning in this comparison, averaging 68.9 versus 66.8. Inside this category, BBH 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 54.5. Inside this category, OSWorld-Verified is the benchmark that creates the most daylight between them.
Claude Haiku 4.5 has the edge for multimodal and grounded tasks in this comparison, averaging 78.4 versus 73.1. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Claude Haiku 4.5 has the edge for instruction following in this comparison, averaging 86 versus 81. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Claude Haiku 4.5 has the edge for multilingual tasks in this comparison, averaging 80.1 versus 72.8. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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