EuroEval English NLU - SQuAD: leaderboard

The "SQuAD" subtask of EuroEval English NLU. English-language EuroEval natural-language-understanding suite, separating NLU task performance from the broader all-task EuroEval aggregate.

Metric: Character F1 (%). Source: euroeval.com. Saturation forecast: Estimated already saturated. 327 models tracked.

Top models

#ModelScoreOverall rank
1Llama 3.1 405B89.95#466
2Qwen 3 32B (Non-reasoning)89.16#443 (Qwen 3 32B)
3Ministral-3-14B-Reasoning-251288.68#540
4Magistral Small 1.288.59#570
5Yi 1.5 34B88.19#807
6Gemma 2 27B88.11#806
7Mistral Small 3.287.91#605
8OLMo-2-1124-7B87.82#1401
9Llama 3.1 70B87.68#592
10aya-23-35B87.4#883
11Qwen 3 14B (Non-reasoning)87.26#537 (Qwen 3 14B)
12Voxtral-Small-24B-250787.05#581
13Llama 2 70B Base86.97#1025
14Yi-1.5-9B86.89#1241
15Qwen3.5-2B-Base86.3#1309

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

Interactive version: theaggregate.ai/benchmark?slug=euroeval-english-nlu-squad · How It Works · Data refreshed daily, snapshot 2026-10-20.