LongBench Pro - Overall - 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 - Thinking using Score (%). Source: the original paper result table.

Metric: Score (%). Source: arxiv.org. Saturation forecast: Around February 2027. 46 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 2.5 Pro73.42#159
2GPT-572.61#105
3Claude Sonnet 469.87#207
4DeepSeek V3.267.82#210
5Gemini 2.5 Flash67.41#255
6Qwen 3 235B A22B 2507 (Thinking)66.97#263
7DeepSeek V3.166.22#275
8Qwen 3 Next 80B A3B (Thinking)63.95#312
9Qwen 3 235B A22B 2507 Instruct63.77#315
10DeepSeek R1 052861.89#232
11Qwen 3 Next 80B A3B Instruct60.76#381
12DeepSeek R160.07#262
13Qwen 3 30B A3B 2507 (Thinking)59.68#379
14Claude 3.7 Sonnet59.66#259
15GLM-4.658.21#265

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-thinking · How It Works · Data refreshed daily, snapshot 2026-11-05.