activeReasoning
WinoGrande
Metric: Accuracy (higher is better)Introduced: 2019
44,000 adversarially filtered Winograd schema problems for commonsense reasoning, created at scale to reduce dataset biases.
Models ranked
1
tracked on this benchmark
Score band
76.1 – 76.1
best → lowest tracked
Snapshot trend
—
need ≥2 snapshots
Leaderboard
Tracked models ranked by Accuracy (higher is better).
#Model variant and provenanceRelative to leaderScore
1
Nemotron-Labs TwoTower 30B-A3B Base
76.1Version: 5-shot, accuracy; default TwoTower diffusion decoding at confidence_threshold=0.8, block_size=16, BF16 on 2xH100; evaluator/harness not published on the model cardHarness: Not recordedEvaluator: Not recordedObserved: Jun 25, 2026Confidence: Not recordedSource
How to read this benchmark
This benchmark scores models where higher is better. Use scores for directional filtering and shortlisting, not universal quality ranking; then validate pricing, context window, provider availability, and fit for your workload.
Trust this score when
- There is a fresh timestamped snapshot (or multiple snapshots) for this benchmark.
- The model list covers the same version family you can actually deploy today.
- Top candidates overlap with your required routing and feature requirements.
Be cautious when
- There is only one benchmark snapshot or the dataset appears stale.
- The benchmark metric direction is opposite of your decision objective.
- The score difference between options is narrow and likely within implementation variance.
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Last reviewed: Apr 15, 2026