Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
o3 is clearly ahead on the aggregate, 70 to 65. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
o3's sharpest advantage is in mathematics, where it averages 87.5 against 75.9. The single biggest benchmark swing on the page is AIME 2023, 88 to 72. Seed 1.6 does hit back in multimodal & grounded, so the answer changes if that is the part of the workload you care about most.
o3 is also the more expensive model on tokens at $10.00 input / $40.00 output per 1M tokens, versus $0.25 input / $2.00 output per 1M tokens for Seed 1.6. That is roughly 20.0x on output cost alone. Seed 1.6 gives you the larger context window at 256K, compared with 200K for o3.
Pick o3 if you want the stronger benchmark profile. Seed 1.6 only becomes the better choice if multimodal & grounded is the priority or you want the cheaper token bill.
o3
69.9
Seed 1.6
62.3
o3
49.1
Seed 1.6
42.4
o3
72.3
Seed 1.6
79.6
o3
82.6
Seed 1.6
74.5
o3
66
Seed 1.6
56.4
o3
85
Seed 1.6
87
o3
81.1
Seed 1.6
83.4
o3
87.5
Seed 1.6
75.9
o3 is ahead overall, 70 to 65. The biggest single separator in this matchup is AIME 2023, where the scores are 88 and 72.
o3 has the edge for knowledge tasks in this comparison, averaging 66 versus 56.4. Inside this category, GPQA is the benchmark that creates the most daylight between them.
o3 has the edge for coding in this comparison, averaging 49.1 versus 42.4. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
o3 has the edge for math in this comparison, averaging 87.5 versus 75.9. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
o3 has the edge for reasoning in this comparison, averaging 82.6 versus 74.5. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
o3 has the edge for agentic tasks in this comparison, averaging 69.9 versus 62.3. 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 72.3. Inside this category, MMMU-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 85. 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 81.1. 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.