Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GPT-4.1 mini
45
Hy3 Preview
62
Pick Hy3 Preview if you want the stronger benchmark profile. GPT-4.1 mini only becomes the better choice if instruction following is the priority or you need the larger 1M context window.
Coding
+36.4 difference
Knowledge
+17.5 difference
Inst. Following
+25.4 difference
GPT-4.1 mini
Hy3 Preview
$0.4 / $1.6
$0 / $0
80 t/s
N/A
0.76s
N/A
1M
256K
Pick Hy3 Preview if you want the stronger benchmark profile. GPT-4.1 mini only becomes the better choice if instruction following is the priority or you need the larger 1M context window.
Hy3 Preview is clearly ahead on the provisional aggregate, 62 to 45. 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 23.6. The single biggest benchmark swing on the page is SWE-bench Verified, 23.6% to 74.4%. GPT-4.1 mini does hit back in instruction following, so the answer changes if that is the part of the workload you care about most.
GPT-4.1 mini is also the more expensive model on tokens at $0.40 input / $1.60 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 is the reasoning model in the pair, while GPT-4.1 mini 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. GPT-4.1 mini gives you the larger context window at 1M, compared with 256K for Hy3 Preview.
Hy3 Preview is ahead on BenchLM's provisional leaderboard, 62 to 45. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 23.6% and 74.4%.
GPT-4.1 mini has the edge for knowledge tasks in this comparison, averaging 64.2 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 23.6. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
GPT-4.1 mini has the edge for instruction following in this comparison, averaging 88.5 versus 63.1. Hy3 Preview stays close enough that the answer can still flip depending on your workload.
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