Hy-MultiTurn - Reference Resolution: leaderboard

The reference resolution dimension of Hy-MultiTurn (Tencent Hunyuan, 2026): the importance-weighted checklist score in percent on 35 long Chinese dialogues that require recovering a referent introduced 20 or more turns earlier despite a recent distractor. Higher is better.

Metric: Importance-weighted score (%) on the 35 reference resolution dialogues, 209 long Chinese multi-turn dialogues (12 to 76 turns), three rolls per task averaged, three LLM judges (GPT-5.2, Qwen 3.6, DeepSeek-V4 Pro) averaged, a deterministic checker for precise execution; higher is better. Source: arxiv.org. Saturation forecast: Around February 2027. 22 models tracked.

Top models

#ModelScoreOverall rank
1Grok 4.5 (High)78#82 (Grok 4.5)
2Gemini 3.1 Pro (Preview) (High)76.6#94 (Gemini 3.1 Pro (Preview))
3Kimi K3 (Max)73.9#54 (Kimi K3)
4GPT-5.5 (High)69#49 (GPT-5.5)
5Claude Opus 4.7 (High)67.9#79 (Claude Opus 4.7)
6Kimi K2.666#178
7Doubao-Seed-2.1-Pro (High)64.4
8GPT-5.4 (High)56.2#123 (GPT-5.4)
9Kimi K2.6 (Non-reasoning)56.2#178 (Kimi K2.6)
10Kimi K2.5 (Thinking)52.6#256 (Kimi K2.5)
11Claude Opus 4.6 (High)49.9#102 (Claude Opus 4.6)
12Kimi K2.5 (Non-reasoning)49#256 (Kimi K2.5)
13Qwen 3.6 Plus (Thinking)45.3#222 (Qwen 3.6 Plus)
14Hy3 (High)39#195 (Hy3)
15Qwen 3.6 Plus (Non-reasoning)32.8#222 (Qwen 3.6 Plus)

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=hy-multiturn-reference-resolution · How It Works · Data refreshed daily, snapshot 2026-11-13.