SeaEval - Fundamental NLP Tasks - WNLI (Zero-Shot): leaderboard

SeaEval zero-shot WNLI evaluation measuring core NLP understanding such as inference, acceptability, paraphrase, or reading-comprehension accuracy.

Metric: Accuracy (%). Source: huggingface.co. Saturation forecast: Estimated already saturated. 25 models tracked.

Top models

#ModelScoreOverall rank
1Qwen 2 72B Instruct88.73#576
2Qwen 2.5 32B Instruct87.32#498
3Llama 3.1 70B Cpt Sea Lionv3 Instruct85.92#548
4Llama 3.1 70B Instruct84.51#561
5Qwen 2.5 14B Instruct83.1#647
6Qwen 2.5 72B Instruct81.69#454
7Llama 3 70B Instruct78.87#634
8Gemma 2 9B (IT)77.46#788
9Qwen 2.5 7B Instruct76.06#862
10gemma2-9B-cpt-sea-lionv3-instruct76.06#705
11Llama 3.1 8B CPT SEA LIONv3 Instruct73.24#810
12Qwen 2 7B Instruct71.83#991
13Qwen 2.5 3B Instruct64.79#1162
14Llama 3.1 8B Instruct61.97#1035
15SeaLLMs-v3-7B-Chat59.15#915

No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.

Interactive version: theaggregate.ai/benchmark?slug=seaeval-fundamental-nlp-tasks-wnli-zero-shot · How It Works · Data refreshed daily, snapshot 2026-10-20.