Benchmark Almanac

CLUEWSC

DeepSeek-R1 92.8% leads since Jan 2025 Fading

Models decide whether a pronoun in a Chinese sentence refers to a given noun phrase, a Winograd-style task. Scored by accuracy.

Duplicate of cluewsc: same CLUE Winograd task and same paper. Merge into cluewsc and drop this record.

In the authors’ words

The advent of natural language understanding (NLU) benchmarks for English, such as GLUE and SuperGLUE allows new NLU models to be evaluated across a diverse set of tasks. These comprehensive benchmarks have facilitated a broad range of research and applications in natural language processing (NLP). The problem, however, is that most such benchmarks are limited to English, which has made it difficult to replicate many of the successes in English NLU for other languages. To help remedy this issue, we introduce the first large-scale Chinese Language Understanding Evaluation (CLUE) benchmark. CLUE is an open-ended, community-driven project that brings together 9 tasks spanning several well-established single-sentence/sentence-pair classification tasks, as well as machine reading comprehension, all on original Chinese text. To establish results on these tasks, we report scores using an exhaustive set of current state-of-the-art pre-trained Chinese models (9 in total). We also introduce a number of supplementary datasets and additional tools to help facilitate further progress on Chinese NLU. Our benchmark is released at https://www.CLUEbenchmarks.com

Abstract of CLUE: A Chinese Language Understanding Evaluation Benchmark (arXiv:2004.05986, CC0)
Made by CLUE benchmark team Released Mar 2020 Reasoning in many languages All tasks public Last in a launch post Apr 2026 , dropped after it saturated Last model added Apr 2026
Level
Everyday Most adults, without training
Scored
Checked automatically A program checks the result against an answer key, unit tests or the expected final state.
Answers
Multiple choice
8
Models scored in lab cards
5
Launch posts list it, from 3 labs
7
System cards report it, from 3 labs

DeepSeek-R1 leads with 92.8% among models released by Apr 2026

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.

The newest model with a score here came out in Apr 2026, and nobody has reported a newer one. Among the 20 highest-ranked models on the capability index, these have no score yet:

  1. 1 DeepSeek-R1 92.8%
  2. 2 Kimi k1.5 91.7%
  3. 3 DeepSeek-V3 90.9%
  4. 4 DeepSeek-V2 (MoE-236B, May 2024) 89.9%
  5. 5 DeepSeek-V4-Pro 85.2%
  6. 6 GLM-5 84.2%
  7. 7 GLM-4.5 83.5%
  8. 8 DeepSeek LLM 67B 60%
#ModelScoreSettingDateSource
1 DeepSeek-R1 92.8% Jan 2025 Model card
2 Kimi k1.5 91.7% Jan 2025 Model card
3 DeepSeek-V3 90.9% Dec 2024 Model card
4 DeepSeek-V2 (MoE-236B, May 2024) 89.9% May 2024 Model card
5 DeepSeek-V4-Pro 85.2% Apr 2026 Model card
6 GLM-5 84.2% Feb 2026 Model card
7 GLM-4.5 83.5% Aug 2025 Model card
8 DeepSeek LLM 67B 60% Jan 2024 Model card

4 models have held number one since 2023

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

DeepSeek
Lab claims Passed 85% in May 2024, by DeepSeek-V2 (MoE-236B, May 2024)
DeepSeek-R1 92.8%

The best score passed 85% in May 2024

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% 2024 2025 2026 Near the ceiling (85%) DeepSeek-R1 DeepSeek-V2 (MoE-236B, May 2024) DeepSeek LLM 67B 0% 20% 40% 60% 80% 100% 2024 2025 2026 Near the ceiling (85%) DeepSeek-R1 DeepSeek LLM 67B

Labs headline it less often now, last in Apr 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.

DeepSeek
Moonshot AI
Baidu
DateLaunch postScoreAs the post writes it
24 Apr 2026 DeepSeek-V4-Pro 85.2 CLUEWSC (EM)
16 Mar 2025 ERNIE 4.5 CLUEWSC
20 Jan 2025 Kimi k1.5 91.7 CLUEWSC (EM), short-CoT
20 Jan 2025 DeepSeek-R1 92.8 CLUEWSC (EM)
26 Dec 2024 DeepSeek-V3 90.9 CLUEWSC (EM)

7 system cards report it, from 3 labs

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
17 Feb 2026 GLM-5 technical report 84.2 GLM-5-Base, CLUEWSC (EM) (Table 11) Capabilities
8 Aug 2025 GLM-4.5 technical report 83.5 GLM-4.5-Base, CLUEWSC (EM) (Table 2) Capabilities
20 Jan 2025 Kimi k1.5 technical report 91.7 CLUEWSC (EM), short-CoT (Table 3) Capabilities
20 Jan 2025 DeepSeek-R1 technical report 92.8 CLUEWSC (EM), DeepSeek-R1 (Table 8, same as final column of Table 3) Capabilities
26 Dec 2024 DeepSeek-V3 technical report 90.9 CLUEWSC (EM), DeepSeek-V3 (Table 6) Capabilities
7 May 2024 DeepSeek-V2 (MoE-236B, May 2024) technical report 89.9 CLUEWSC 5-shot, DeepSeek-V2 Chat (RL) (Table 3) Capabilities
5 Jan 2024 DeepSeek LLM 67B technical report 60 CLUEWSC, DeepSeek 67B Chat (Table 6) Capabilities

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