Benchmark Almanac

LPFQA

Seed2.0 Pro 52.6% leads since Feb 2026 Fading

Models answer 430 long-tail professional questions drawn from real forum discussions in 7 academic and industrial domains.

Questions use a hierarchical difficulty structure. ByteDance Seed reports it in the Seed2.0 model card.

In the authors’ words

Large Language Models (LLMs) perform well on standard reasoning and question-answering benchmarks, yet such evaluations often fail to capture their ability to handle long-tail, expertise-intensive knowledge in real-world professional scenarios. We introduce LPFQA, a long-tail knowledge benchmark derived from authentic professional forum discussions, covering 7 academic and industrial domains with 430 curated tasks grounded in practical expertise. LPFQA evaluates specialized reasoning, domain-specific terminology understanding, and contextual interpretation, and adopts a hierarchical difficulty structure to ensure semantic clarity and uniquely identifiable answers. Experiments on over multiple mainstream LLMs reveal substantial performance gaps, particularly on tasks requiring deep domain reasoning, exposing limitations overlooked by existing benchmarks. Overall, LPFQA provides an authentic and discriminative evaluation framework that complements prior benchmarks and informs future LLM development.

Abstract of LPFQA: A Long-Tail Professional Forum-based Benchmark for LLM Evaluation (arXiv:2511.06346, CC0)
Made by ByteDance Seed and collaborators (Zhu et al.) Released Nov 2025 Expert-written questions Last in a launch post Feb 2026 , dropped before it saturated Last model added Mar 2026
Level
Expert Specialists with years of training, often over hours of work
Scored
Checked automatically A program checks the result against an answer key, unit tests or the expected final state.
Answers
Short answer A number, word or short string matched to a key.
2
Models scored in lab cards
2
Launch posts list it, from 1 lab
2
System cards report it, from 1 lab

Seed2.0 Pro leads with 52.6%

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.

  1. 1 Seed2.0 Pro 52.6%
  2. 2 Seed1.8 49.1%
#ModelScoreSettingDateSource
1 Seed2.0 Pro 52.6% Feb 2026 Model card
2 Seed1.8 49.1% Dec 2025 Model card

2 models have held number one since its release in Nov 2025

Lab claims count from the day the card came out, independent runs from the model’s release.

ByteDance Seed
Lab claims Not tested since Mar 2026
Seed2.0 Pro 52.6%

Scores over time

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

Reported by the lab in its model card Best so far
0% 20% 40% 60% 80% 100% 2026 Near the ceiling (85%) Seed2.0 Pro Seed1.8 0% 20% 40% 60% 80% 100% 2026 Near the ceiling (85%) Seed2.0 Pro

Labs headline it less often now, last in Feb 2026

Launch posts from every lab that has listed it, one tick per post. Tall colored ticks include it, and short gray ones leave it out.

ByteDance Seed
DateLaunch postScoreAs the post writes it
14 Feb 2026 Seed2.0 Pro 52.6 LPFQA
18 Dec 2025 Seed1.8 49.1 LPFQA

2 system cards report it, from 1 lab

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
21 Mar 2026 Seed1.8 model card 49.1 LPFQA (Table 1) Capabilities
14 Feb 2026 Seed2.0 Pro model card 52.6 LPFQA (Table 3) Capabilities

More in Knowledge

All 109 in Knowledge
  • MMLU-Pro In use Harder 10-option version of MMLU with reasoning-focused questions across 14 subjects. Intern-S2-397B 89.8%
  • SuperGPQA In use 26,529 graduate-level multiple-choice questions across 285 disciplines. Accuracy. Qwen 3.6 Max (Preview) 73.9%
  • WideSearch In use 200 bilingual broad info-seeking tasks: agent collects many atomic facts into a table. Scored by success rate and row/item F1. Tencent Hy4 preview 83.9%
  • KMMLU-Pro In use Models answer multiple-choice questions taken from Korean National Professional Licensure exams. It tests professional knowledge used in Korean industry. Solar Pro 4 79.2%
  • BIG-Bench Extra Hard In use Models solve harder replacements for each of the 23 BIG-Bench Hard tasks, 4,520 examples in total. The score is a harmonic mean of task accuracies. Gemma 4 31B IT 74.4%
  • HLE-Verified In use Verified and revised version of Humanity's Last Exam (1,811 items) with uncertain items removed. Seed2.0 Pro 73.6%