MSI-Bench - Mandarin Constraint Prioritization: leaderboard
Metric: All-pass rate (%; the 96 constraint-prioritization cases, where a hard requirement stated by one speaker conflicts with another's tradeable preference, Mandarin split; a case passes when all its atomic rubrics pass, judged by DeepSeek V4 Pro on the dialogue transcript, with a deterministic tool-call validator as one more rubric for cases that need a tool call; one prediction per model and case from the audio of a multi-party, multi-turn scene ending in an assistant-directed handoff; open-weight models served with JSON-schema constrained decoding). Source: arxiv.org. Saturation forecast: Around December 2026. 15 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Gemini 3.5 Flash | 58.3 |
| 2 | Gemini 3.1 Pro (Preview) | 51 |
| 3 | GPT Audio | 49 |
| 4 | GPT Audio Mini | 27.1 |
| 5 | Qwen2.5-Omni-7B | 13.5 |
| 6 | Phi-4 Multimodal Instruct | 1 |
| 7 | Gemma 4 12B (Reasoning) | 0 |
| 8 | Gemma 4 12B (Non-reasoning) | 0 |
Interactive version: theaggregate.ai/benchmark?slug=msi-bench-mandarin-constraint-prioritization · How It Works · Data refreshed daily, snapshot 2026-09-26.