LongBench Pro - Overall - Non-Thinking: leaderboard

Evaluates long-context understanding across English and Chinese tasks at four difficulty levels. Non-thinking and thinking results use separate published columns; missing settings remain absent. This series reports Overall - Non-Thinking using Score (%). Source: the original paper result table.

Metric: Score (%). Source: arxiv.org. Saturation forecast: Around February 2027. 34 models tracked.

Top models

#ModelScoreOverall rank
1Claude Sonnet 456.07#207
2Gemini 2.5 Flash55.92#255
3Qwen 3 235B A22B 2507 Instruct52.51#315
4DeepSeek V3 (0324)51.7#349
5DeepSeek V3.251.67#210
6Qwen 3 Next 80B A3B Instruct51.54#381
7Claude 3.7 Sonnet51.45#259
8DeepSeek V3.151.39#275
9Kimi K2 090550.09#292
10GPT-4o46.67#357
11GLM-4.645.85#265
12Qwen 3 30B A3B 2507 Instruct43.84#492
13GLM-4.543.04#283
14MiniMax-Text-0141.14#519
15Qwen 3 32B40.28#449

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

Interactive version: theaggregate.ai/benchmark?slug=longbench-pro-overall-non-thinking · How It Works · Data refreshed daily, snapshot 2026-11-05.