Model · Tencent

hy3-preview

1 bench deck · 0/6 problems correct on canonical boards.

methodology + notes

How to read. Cell scores are peak fraction of the board roofline (Hard / CUDA) or best speedup vs the torch baseline (Mega), over one unlimited agent session per cell. Audit chips come from the human/subagent reward-hack review of every published cell; scores from flagged sessions render dimmed — they don't count toward the charts.

Board summary bars are each score relative to the best published model on that board (1.00 = board leader); the printed number is the bench-native score.

Methodology. Rank per bench: valid passes (audited-clean correct cells / problems) desc, then mean normalized performance over the FULL problem deck (cell score / board best per problem; fail/invalid/missing cells count as 0) desc. Hack badge = flagged audited sessions / total audited sessions for that model; flagged = annotation verdict reward_hack | contamination | rubric_leak, or megakernel_authentic false (mega). Verdicts come from per-run audit YAMLs, not static lint. Hack rate is displayed, never a sort key. Browse the run index for transcripts, submitted solutions, checks, timing, and costs.

Board summarybars = share of each board's best model · numbers = bench-native score
Hard
0/6
Hard
0/6 pass

RTX PRO 6000· canonical board

FP8 GEMMno run
KDA CUTLASSno run
Paged Attentionno run
TopK Bitonicno run
Sonic MoEno run
W4A16 GEMMno run

H100 PCIe

FP8 GEMMpass
11.9%unaudited
session 30m
KDA CUTLASSpass
0.0%unaudited
session 1h 16m
Paged Attentionpass
0.1%unaudited
session 41m
TopK Bitonicfail
unaudited
session 1h 25m
Sonic MoEfail
unaudited
session 1h 57m
W4A16 GEMMpass
8.8%unaudited
session 1h 9m