Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Hy3 Preview
62
o3-mini
56
Pick Hy3 Preview if you want the stronger benchmark profile. o3-mini only becomes the better choice if instruction following is the priority.
Coding
+10.7 difference
Knowledge
+30.5 difference
Inst. Following
+30.8 difference
Hy3 Preview
o3-mini
$0 / $0
$1.1 / $4.4
N/A
160 t/s
N/A
7.12s
256K
200K
Pick Hy3 Preview if you want the stronger benchmark profile. o3-mini only becomes the better choice if instruction following is the priority.
Hy3 Preview is clearly ahead on the provisional aggregate, 62 to 56. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Hy3 Preview's sharpest advantage is in coding, where it averages 60 against 49.3. The single biggest benchmark swing on the page is SWE-bench Verified, 74.4% to 49.3%. o3-mini does hit back in instruction following, so the answer changes if that is the part of the workload you care about most.
o3-mini is also the more expensive model on tokens at $1.10 input / $4.40 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Hy3 Preview. That is roughly Infinityx on output cost alone. Hy3 Preview gives you the larger context window at 256K, compared with 200K for o3-mini.
Hy3 Preview is ahead on BenchLM's provisional leaderboard, 62 to 56. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 74.4% and 49.3%.
o3-mini has the edge for knowledge tasks in this comparison, averaging 77.2 versus 46.7. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Hy3 Preview has the edge for coding in this comparison, averaging 60 versus 49.3. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
o3-mini has the edge for instruction following in this comparison, averaging 93.9 versus 63.1. Hy3 Preview stays close enough that the answer can still flip depending on your workload.
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