Built the hybrid and hit 24%
Local evaluation looked much stronger, but the first official candidates stayed at 24% public calibration.
Run postmortem · Published 2026-08-18
It diagnosed the packaging path, lifted calibration from 24% to 92%, and finished at 18% hidden accuracy.
One-hour track · max reasoning · provisional
GLM-5.3 produced a valid 18% result in its first published max-effort run, four points above the best prior GLM-5.2 seed. Its first two submitted hybrids remained at 24% public calibration because the packaged inference file and trained weights came from different source paths. The agent tested the actual packaged artifact, corrected that mismatch, and raised calibration to 92%. The outcome is promising, but one seed remains provisional.
One valid autonomous run produced a provisional 18% hidden exact-match score.
1 of 3 required seeds · Hidden exact-match accuracy, not public calibration accuracy.
The final artifact combined a compact trained fallback with a broad deterministic solver and an unusually productive package-test-repair loop.
The package retained a roughly five-million-parameter, six-layer byte transformer trained on broad synthetic examples.
Deterministic handlers covered arithmetic, records, mappings, sequences, copying, and text transformations before neural fallback.
The agent stopped trusting workspace-only checks, exercised the actual candidate package, and found that inference code and weights were being sourced differently.
Local evaluation looked much stronger, but the first official candidates stayed at 24% public calibration.
Testing the assembled artifact exposed the split-source mismatch; the corrected candidate immediately reached 92% calibration.
The run expanded synthetic coverage, strengthened deterministic rules, and finalized a valid 9.50 MB artifact that scored 18% hidden.
The run identified a real execution-path defect, recovered without a timeout or broker failure, and converted it into a strong hidden result.
The final package reached 92% on the visible set but only 18% hidden, leaving a large generalization gap and little signal for choosing among late revisions.
Two additional valid seeds are needed to determine whether 18% is a stable GLM-5.3 estimate or a favorable first run.
Every archived run selected for this exact model-and-effort row is shown below. The narrative uses aggregate run evidence and final artifact structure; it does not expose hidden questions, answers, or raw private transcripts.
Swipe horizontally to see all run columns.
| Run | Score | Time | Cost at run | Artifact | Candidates | Grade |
|---|---|---|---|---|---|---|
| run-0001 | 18% | 52:28 | $3.84 | 9.50 MB | 14 | Valid |
Autonomous runs are stochastic. Two more valid seeds are required before this can be treated as an official estimate.
The agent made 14 candidate submission actions across the published run set. Selected artifacts averaged 9.50 MB compressed.
The runs averaged 52:28 of wall time. 1 run explicitly finalized before the one-hour limit.
Retained totals: 130 agent messages · 14 candidate actions · 1 published run.
$3.84 per displayed run at current configured rates.
The run cost an estimated $3.84, or 4.69 hidden-score points per dollar. It outscored both prior GLM-5.2 seeds, but its value rank remains provisional until replication.
At current configured API-equivalent rates, the displayed run cost is $3.84 and value is 4.69 score points per dollar.
Current configured API-equivalent cost / run · pricing snapshot 2026-08-18.
Adjacent rows provide score context without treating small one-seed differences as settled model rankings.
Compare GLM-5.3 with the complete ARI Bench field, including score, current cost, value per dollar, effort, and seed status.
View the leaderboard