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LongBench v2

General QA · 2024-12-19

LongBench v2 is a long-context benchmark of 503 four-option multiple-choice questions over contexts from 8K to 2M words, covering single- and multi-document QA, long in-context learning, long dialogue history, code repositories and long structured data. Scores are accuracy. Higher is better.

Top models (higher is better)

ModelScore
Opus 4.869.1
Gemini 3 Pro Preview68.2
GPT-5.6 Sol67.1
Qwen3.8-Max66.3
Qwen3.7-Max (source unspecified)65.3
Opus 4.564.4
DeepSeek-V4-Pro62.1
Qwen3.6 Plus (2026-04-02)62.0
Nemotron 3 Ultra 550B A55B61.9
Kimi K2.561.0
GLM-560.8
Qwen3 Max Thinking (2026-01-23)60.6
Qwen3.5-27B60.6
Qwen3.5 122B A10B60.2
Qwen3.5 Plus (2026-02-15)60.2
Qwen3.5-4B59.9
DeepSeek-V3.259.8
Qwen3.5-Omni-Plus59.6
Qwen3.5 35B A3B59.0
DeepSeek-V4-Flash57.0
GPT-5 Mini56.8
Qwen3.5-9B55.2
Qwen3-235B-A22B54.8
GPT-5.254.5
GPT-4.154.3
Sonnet 452.5
DeepSeek-V4-Pro-Base51.5
DeepSeek-V3-032451.1
Nemotron 3.5 Bolt E4B BF1650.5
Gemma 4 E4B IT49.3
Kimi K2 Instruct49.1
DeepSeek-V348.7
gpt-oss-120b48.2
GPT-4o (2024-05-13)48.1
Qwen3-Next-80B-A3B-Thinking48.0
Qwen3.5-Omni-Flash46.4
gpt-oss-20b45.6
Qwen3 30B A3B Thinking 250744.8
DeepSeek-V4-Flash-Base44.7
Qwen3 4B Thinking 250742.8
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