Open Chinese LLM - C-Eval Semantic: leaderboard

The "C-Eval Semantic" subtask of Open Chinese LLM. A task from the Open Chinese LLM Leaderboard, evaluating models on Chinese-language knowledge, reasoning and understanding.

Metric: Accuracy (%). Source: huggingface.co. Saturation forecast: Estimated already saturated. 339 models tracked.

Top models

#ModelScoreOverall rank
1Qwen 2 72B Instruct94.12#576
2Qwen 2 72B93.47#521
3Rhea-72B-v0.591.35#556
4free-evo-qwen72B-v0.8-re91.21#435
5Qwen 1.5 72B Chat91.14#776
6Le_Triomphant-ECE-TW391.1#559
7Qwen 1.5 32B Chat90.78#816
8Smaug-34B-v0.190.75#723
9Luminex-34B-v0.290.75#696
10YiSM-blossom5.1-34B-SLERP90.64#591
11UNA-SimpleSmaug-34B-v1beta90.6#712
12Smaug-72B-v0.190.6#611
13Yi-34Bx2-MoE-60B-DPO90.57#714
14Bagel-Hermes-34B-Slerp90.39#715
15Qwen 1.5 72B90.13#753

No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.

Interactive version: theaggregate.ai/benchmark?slug=open-chinese-llm-c-eval-semantic · How It Works · Data refreshed daily, snapshot 2026-10-20.