TRACE Bench - Language Quality: leaderboard
Metric: Per-turn LLM-judge language quality (%). Source: arxiv.org. 26 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | MiMo-V2.5 | 99.03 |
| 2 | MiMo-V2.5-Pro | 98.73 |
| 3 | DeepSeek V4 Flash | 98.58 |
| 4 | Claude Sonnet 4.6 | 98.16 |
| 5 | Kimi K2.5 (Non-reasoning) | 98.16 |
| 6 | GPT-5.5 | 97.87 |
| 7 | Gemma 4 31B (Non-reasoning) | 97.66 |
| 8 | DeepSeek V4 Pro (Non-reasoning) | 97.41 |
| 9 | Qwen 3 8B (Non-reasoning) | 97.27 |
| 10 | Qwen 3 14B (Non-reasoning) | 96.98 |
| 11 | Qwen 3.5 27B (Non-reasoning) | 96.59 |
| 12 | MiniMax-M2.7 | 96.53 |
| 13 | GLM-5 (Non-reasoning) | 95.51 |
| 14 | Mistral Small 3.2 | 90.77 |
| 15 | Hermes-4-14B | 84.91 |
Interactive version: theaggregate.ai/benchmark?slug=trace-bench-language-quality · How It Works · Data refreshed daily, snapshot 2026-09-19.