As of Oct 14, 2026, lev (Interfaze AI, Qwen3.5-4B + LoRA r32, label-token readout + candidate-path head, per-bucket temperatures) is ranked #126 in Decision models (since Oct 14, 2026; sources Decision Index Full and JevBench; methodology v1.0). Ranked #126 in Decision models.
The ruling, in plain English
Ranked #126 in Decision models.
Reliability
Index bins for lev (Interfaze AI, Qwen3.5-4B + LoRA r32, label-token readout + candidate-path head, per-bucket temperatures). Confidence on the horizontal axis, accuracy on the vertical axis.
Median 70.8 ms, same GPU.
$0.0188 per 1,000 decisions.
Evidence
| Source | Score | Date | Type | Receipt |
|---|---|---|---|---|
| Decision Index Full lev | 36.53 36.0–37.0 | 2026-10-14 | INDEP. | snap_decision-index_2026-10-14_release-v3|decision-index-0.3.2 |
| JevBench lev (Interfaze AI, Qwen3.5-4B + LoRA r32, label-token readout + candidate-path head, per-bucket temperatures) | 61.70420936973613 61.2–62.2 | 2026-10-08 | INDEP. | snap_jevbench_2026-10-08_v1.6.1|jevbench-v1.6.1 |
Where it sits in the succession
Crown intervals for this model are still empty.
Where it is not the crown
| Category | This model | Why |
|---|---|---|
| Decision models | #126 in this category | Ranked #126 in Decision models. |
Related pages
Is lev (Interfaze AI, Qwen3.5-4B + LoRA r32, label-token readout + candidate-path head, per-bucket temperatures) SOTA?
Best current rank: #126 in Decision models, as of Oct 14, 2026.
What is lev (Interfaze AI, Qwen3.5-4B + LoRA r32, label-token readout + candidate-path head, per-bucket temperatures) best at?
As of Oct 14, 2026, lev (Interfaze AI, Qwen3.5-4B + LoRA r32, label-token readout + candidate-path head, per-bucket temperatures) is ranked #126 in Decision models (since Oct 14, 2026; sources Decision Index Full and JevBench).
How does lev (Interfaze AI, Qwen3.5-4B + LoRA r32, label-token readout + candidate-path head, per-bucket temperatures) rank in Decision models?
Best current rank: #126 in Decision models, as of Oct 14, 2026.