Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GPT-5.4 nano
60
Hy3 Preview
59
Pick GPT-5.4 nano if you want the stronger benchmark profile. Hy3 Preview only becomes the better choice if agentic is the priority or you want the cheaper token bill.
Agentic
+11.5 difference
Knowledge
+6.5 difference
GPT-5.4 nano
Hy3 Preview
$0.2 / $1.25
$0 / $0
191 t/s
N/A
3.64s
N/A
400K
256K
Pick GPT-5.4 nano if you want the stronger benchmark profile. Hy3 Preview only becomes the better choice if agentic is the priority or you want the cheaper token bill.
GPT-5.4 nano finishes one point ahead on BenchLM's provisional leaderboard, 60 to 59. That is enough to call, but not enough to treat as a blowout. This matchup comes down to a few meaningful edges rather than one model dominating the board.
GPT-5.4 nano's sharpest advantage is in knowledge, where it averages 53.2 against 46.7. The single biggest benchmark swing on the page is HLE, 37.7% to 25.5%. Hy3 Preview does hit back in agentic, so the answer changes if that is the part of the workload you care about most.
GPT-5.4 nano is also the more expensive model on tokens at $0.20 input / $1.25 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. GPT-5.4 nano gives you the larger context window at 400K, compared with 256K for Hy3 Preview.
GPT-5.4 nano is ahead on BenchLM's provisional leaderboard, 60 to 59. The biggest single separator in this matchup is HLE, where the scores are 37.7% and 25.5%.
GPT-5.4 nano has the edge for knowledge tasks in this comparison, averaging 53.2 versus 46.7. Inside this category, AA-Omniscience Hallucination Rate is the benchmark that creates the most daylight between them.
Hy3 Preview has the edge for agentic tasks in this comparison, averaging 54.4 versus 42.9. Inside this category, Tau2-Telecom is the benchmark that creates the most daylight between them.
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