Benchmark Almanac

SpreadsheetBench Verified

Seed2.0 Pro 79.1% leads since Feb 2026 Fading

Models solve 400 real spreadsheet manipulation questions from Excel forums, an expert annotated subset of SpreadsheetBench. Each answer runs against several test spreadsheets.

Scores are not comparable with the full 912 question set. The maker leaderboard has a separate V1 Verified (400) tab.

In the authors’ words

We introduce SpreadsheetBench, a challenging spreadsheet manipulation benchmark exclusively derived from real-world scenarios, designed to immerse current large language models (LLMs) in the actual workflow of spreadsheet users. Unlike existing benchmarks that rely on synthesized queries and simplified spreadsheet files, SpreadsheetBench is built from 912 real questions gathered from online Excel forums, which reflect the intricate needs of users. The associated spreadsheets from the forums contain a variety of tabular data such as multiple tables, non-standard relational tables, and abundant non-textual elements. Furthermore, we propose a more reliable evaluation metric akin to online judge platforms, where multiple spreadsheet files are created as test cases for each instruction, ensuring the evaluation of robust solutions capable of handling spreadsheets with varying values. Our comprehensive evaluation of various LLMs under both single-round and multi-round inference settings reveals a substantial gap between the state-of-the-art (SOTA) models and human performance, highlighting the benchmark's difficulty.

Abstract of SpreadsheetBench: Towards Challenging Real World Spreadsheet Manipulation (arXiv:2406.14991, CC0)
Made by Renmin University of China (RUCKBReasoning) with Shortcut.AI Released Dec 2025 Documents and spreadsheets All tasks public Last in a launch post May 2026 , dropped before it saturated Last model added Jun 2026 Scores refreshed 2 Nov 2026
Level
University Undergraduates and entry-level professionals
Scored
Checked automatically A program checks the result against an answer key, unit tests or the expected final state.
Answers
Code A program or patch run against tests.
2
Models scored in lab cards
2
Launch posts list it, from 2 labs
1
System card reports it, from 1 lab

Seed2.0 Pro leads with 79.1%

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 79.1%
  2. 2 ERNIE 5.1 72.5%
#ModelScoreSettingDateSource
1 Seed2.0 Pro 79.1% Feb 2026 Model card
2 ERNIE 5.1 72.5% May 2026 Model card

The benchmark's own leaderboard has 18 entries, 1 of them models we track. We plot every source in the charts below.

Number one over time

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

ByteDance Seed
Lab claims Not tested since May 2026
Seed2.0 Pro 79.1%

Scores over time

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% 2026 Near the ceiling (85%) MiniMax-M3 Seed2.0 Pro 0% 20% 40% 60% 80% 100% 2026 Near the ceiling (85%) MiniMax-M3

Labs headline it less often now, last in May 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
Baidu
DateLaunch postScoreAs the post writes it
9 May 2026 ERNIE 5.1 72.5 SpreadsheetBench-Verified (pass@1)
14 Feb 2026 Seed2.0 Pro 79.1 SpreadsheetBench Verified

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
14 Feb 2026 Seed2.0 Pro model card 79.1 SpreadsheetBench Verified (Table 11) Capabilities

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