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

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

Metric: Accuracy (%). Source: huggingface.co. Saturation forecast: Estimated already saturated. 24 models tracked.

Top models

#ModelScoreOverall rank
1Llama 3.1 70B Cpt Sea Lionv3 Instruct92#548
2Qwen 2.5 72B Instruct90.83#454
3Qwen 2.5 14B Instruct90.79#647
4Gemma 2 9B (IT)90.7#788
5Qwen 2.5 32B Instruct90.63#498
6gemma2-9B-cpt-sea-lionv3-instruct90.55#705
7Llama 3.1 70B Instruct90.26#561
8Qwen 2 72B Instruct88.87#576
9Llama 3 70B Instruct87.68#634
10Qwen 2.5 7B Instruct86.53#862
11Qwen 2 7B Instruct81.55#991
12Gemma 2 2B (IT)77.92#1341
13Qwen 2.5 3B Instruct76.46#1162
14SeaLLMs-v3-7B-Chat71.59#915
15Sailor2-8B-Chat68.22#782

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-qnli-zero-shot · How It Works · Data refreshed daily, snapshot 2026-10-20.