Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
GPT-4o and Seed 1.6 Flash finish on the same overall score, so this is less about a single winner and more about where the edge shows up. The headline says tie; the benchmark table is where the real choice happens.
GPT-4o is also the more expensive model on tokens at $2.50 input / $10.00 output per 1M tokens, versus $0.08 input / $0.30 output per 1M tokens for Seed 1.6 Flash. That is roughly 33.3x on output cost alone. Seed 1.6 Flash is the reasoning model in the pair, while GPT-4o 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 128K for GPT-4o.
Treat this as a split decision. GPT-4o makes more sense if mathematics is the priority or you would rather avoid the extra latency and token burn of a reasoning model; Seed 1.6 Flash is the better fit if agentic is the priority or you want the cheaper token bill.
GPT-4o
51.2
Seed 1.6 Flash
54.5
GPT-4o
32.2
Seed 1.6 Flash
27.6
GPT-4o
72.2
Seed 1.6 Flash
73.1
GPT-4o
64.6
Seed 1.6 Flash
66.8
GPT-4o
47.4
Seed 1.6 Flash
47.3
GPT-4o
82
Seed 1.6 Flash
81
GPT-4o
75.5
Seed 1.6 Flash
72.8
GPT-4o
71.8
Seed 1.6 Flash
67.1
GPT-4o and Seed 1.6 Flash are tied on overall score, so the right pick depends on which category matters most for your use case.
GPT-4o has the edge for knowledge tasks in this comparison, averaging 47.4 versus 47.3. Inside this category, GPQA is the benchmark that creates the most daylight between them.
GPT-4o has the edge for coding in this comparison, averaging 32.2 versus 27.6. Inside this category, LiveCodeBench is the benchmark that creates the most daylight between them.
GPT-4o has the edge for math in this comparison, averaging 71.8 versus 67.1. Inside this category, MATH-500 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 64.6. Inside this category, MRCRv2 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 51.2. Inside this category, OSWorld-Verified is the benchmark that creates the most daylight between them.
Seed 1.6 Flash has the edge for multimodal and grounded tasks in this comparison, averaging 73.1 versus 72.2. Inside this category, OfficeQA Pro is the benchmark that creates the most daylight between them.
GPT-4o has the edge for instruction following in this comparison, averaging 82 versus 81. Inside this category, IFEval is the benchmark that creates the most daylight between them.
GPT-4o has the edge for multilingual tasks in this comparison, averaging 75.5 versus 72.8. Inside this category, MGSM is the benchmark that creates the most daylight between them.
Get notified when new models drop, benchmark scores change, or the leaderboard shifts. One email per week.
Free. No spam. Unsubscribe anytime. We only store derived location metadata for consent routing.