LongBench v2: leaderboard

LongBench v2: Measures long-context retrieval, needle finding, summarization, factual grounding, or retrieval-augmented generation quality.

Metric: Accuracy (%). Source: github.com. Source: longbench2.github.io. Saturation forecast: Around January 2027. 36 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 2.5 Pro63.3#152
2Gemini 2.5 Flash62.1#245
3Qwen 3 235B A22B 2507 (Thinking)60.6#260 (Qwen 3 235B A22B 2507)
4DeepSeek R158.3#251
5Qwen 3 235B A22B 2507 Instruct58.3#300
6O1 Preview57.7#193
7DeepSeek R1 052856.7#222
8MiniMax-Text-0156.5#513
9Gemini 2.0 Flash (Thinking)56#342 (Gemini 2.0 Flash)
10GPT-4o51.4#343
11Gemini 2.0 Flash51.1#342
12GLM-4.550.3#275
13Qwen 3 235B A22B50.1#313
14Qwen 3 30B A3B 2507 (Thinking)50.1#376 (Qwen 3 30B A3B 2507)
15Qwen 3 32B49.2#443

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

Interactive version: theaggregate.ai/benchmark?slug=longbench-v2 · How It Works · Data refreshed daily, snapshot 2026-10-20.