PerspectiveGap - Role Assignment: leaderboard

Measures whether a model can compose role-specific prompts for a multi-agent orchestration without over-sharing context. Each of 110 scenarios supplies a role list, a shuffled set of information fragments and one injected distractor, against a reference assignment giving each role exactly the fragments it needs. Role-fragment assignment asks the model for a structured mapping from roles to fragment identifiers. A deterministic rule-only scorer, not an LLM judge, audits containment; strict pass is all-or-nothing, scoring 1 only when an evaluation omits no required fragment and includes nothing out of role. This series reports PerspectiveGap - Role Assignment using Pass Rate (%).

Metric: Pass Rate (%). Source: huggingface.co. Saturation forecast: Around December 2027. 35 models tracked.

Top models

#ModelScoreOverall rank
1GPT-5.555.5#33
2GPT-5.6 Terra43.6#40
3Grok 4.643.2#29
4Claude Fable 538.6#20
5DeepSeek V4 Pro37.3#112
6GPT-5.6 Sol35.9#22
7Claude Sonnet 535#65
8Kimi K2.626.8#113
9GLM-525.9#149
10GPT-5.425.5#83
11Qwen 3.6 Plus25.5#124
12MiMo-V2.5-Pro25#167
13DeepSeek V4 Flash24.5#155
14Claude Opus 4.724.1#51
15Gemini 3.1 Pro (Preview)20#64

No result here: #3 Claude Opus 5.5, #7 GPT-6.1 Sol, #9 Gemini 4 Argon.

Interactive version: theaggregate.ai/benchmark?slug=perspectivegap-role-assignment · How It Works · Data refreshed daily, snapshot 2026-11-05.