Benchmark Almanac

PenguinScrolls

Qwen2.5-72B 81.8% leads
Hunyuan-A13B-Instruct 87.7% leads since June 2025
Only in system cards

Models answer user-style questions over long natural documents such as books, financial reports and legal papers, up to 128K tokens. Tasks cover extraction, localization, qualitative analysis and numerical reasoning.

The release has 1,316 single-turn items in four categories. Tencent reports it in the Hunyuan-A13B technical report.

Made by
Tencent Hunyuan
Released
November 2024
Kind
Reasoning over long documents
Level
Everyday
Scored
Graded by a model
Answers
Open-ended
Tasks
All public
Strongest model tested
Qwen2.5-72B #165 on the capability index
Last in a system card
June 2025
Last model added
June 2025
Scores refreshed
November 12th, 2026
1
Model scored in lab cards
1
System card reports it, from 1 lab

Hunyuan-A13B-Instruct leads with 87.7%

Best score per model as labs report them in their own cards. Labs pick their own settings, so these compare less cleanly than independent runs.

Qwen2.5-72B leads with 81.8% across all independent runs

Best score per model across the official leaderboard, Epoch AI’s own runs and any board Epoch AI copied. Each bar and row names its source.

Hunyuan-A13B-Instruct leads with 87.7%, claims included

Best score per model from every source, including labs’ own numbers and claims Epoch AI collected from reports and papers. Labs pick their own settings, so a claim can beat an independent run of the same model.

  1. 1 Hunyuan-A13B-Instruct 87.7%

Source: Labs’ model cards

Source: Official PenguinScrolls leaderboard

Sources: Labs’ model cards and official PenguinScrolls leaderboard

#ModelScoreSettingDateSource
1 Hunyuan-A13B-Instruct 87.7% Jun 2025 Lab model card
#ModelScoreSettingDateSource
1 Qwen2.5-72B 81.8% Sep 2024 Official leaderboard
2 Llama 3.1-70B 66.5% Jul 2024 Official leaderboard
#ModelScoreSettingDateSource
1 Hunyuan-A13B-Instruct 87.7% Jun 2025 Lab model card
2 Qwen2.5-72B 81.8% Sep 2024 Official leaderboard
3 Llama 3.1-70B 66.5% Jul 2024 Official leaderboard

The benchmark's own leaderboard has 5 entries, 2 of them models we track. Switch the scores above to rank them together.

Tencent’s own number for Hunyuan-A13B-Instruct passed 85% in June 2025

All the scores we have, one dot each, so a model tested at several settings appears more than once.

On the benchmark’s own leaderboard Reported by the lab in its model card Best so far
0% 20% 40% 60% 80% 100% 2025 Near the ceiling (85%) Hunyuan-A13B-Instruct Qwen2.5-72B Llama 3.1-70B 0% 20% 40% 60% 80% 100% 2025 Near the ceiling (85%) Hunyuan-A13B-Instruct Qwen2.5-72B

Sources: Official PenguinScrolls leaderboard and labs’ model cards

Labs report it only in system cards

We read the headline results of 522 launch posts from 52 labs, and none of them list this benchmark. Some system cards do, below.

One system card reports it

Besides launch posts, we read the system cards, model cards and technical reports labs publish with a release. They report far more, including safety and frontier-risk tests.

DateDocumentScoreAs the document writes itSection
Jun 26, 2025 Hunyuan-A13B-Instruct technical report 87.7 PenguinScrolls (Table 5) Capabilities

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All 79 in Long context
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  • LongBench v2 In use 503 multiple-choice questions over 8K-2M-word contexts (QA, dialogue, code repos, structured data). Accuracy. Inkling 2 Small 70.6%
  • GraphWalks In use A graph is given as an edge list in long context. The model answers BFS or parent queries, scored by F1. Claude Fable 5 99.96%
  • OpenAI MRCR v2 In use Models read a long synthetic chat that hides 2, 4 or 8 identical writing requests and must reproduce the response to the i-th one. Scored by mean string match ratio per context bin. Gemini 3.7 Flash 89%
  • CL-bench In use Model must learn new knowledge from a supplied long context (rules, procedures, data) and solve tasks. Strict LLM-verified rubrics. GPT-5.4 27.9%
  • AA-LCR 1.1 In use Models answer 100 questions that need reasoning across sets of real documents of about 100K tokens. An LLM equality checker with a fixed system prompt compares each answer with the key. Step 5 Preview 88.3%