According to BenchLM.ai, Kimi K2.5 leads the C-Eval benchmark with a score of 94%, followed by Qwen3.6 Plus (93.3%) and Qwen3.5 397B (93%). The top models are clustered within 1.0 points, suggesting this benchmark is nearing saturation for frontier models.

5 models have been evaluated on C-Eval. The benchmark falls in the Knowledge category. This category carries a 12% weight in BenchLM.ai's overall scoring system. C-Eval is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.

About C-Eval

Year

2023

Tasks

Chinese academic and professional exams

Format

Multiple choice questions

Difficulty

High school to professional level

C-Eval is one of the clearest public signals for non-English academic knowledge performance. It tests whether a model can sustain strong factual recall and reasoning under Chinese-language exam conditions across many domains.

C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation Models

BenchLM freshness & provenance

Version

C-Eval 2023

Refresh cadence

Static

Staleness state

Stale

Question availability

Public benchmark set

StaleDisplay only

BenchLM uses freshness metadata to decide whether a benchmark should still be treated as a strong differentiator, a benchmark to watch, or a display-only reference. For the full scoring policy, see the BenchLM methodology page.