analysis
Apr 02, 2026ANALYSIS-026Country X is debating a points-based immigration system. Proposed criteria: education (30%), work experience (25%), age (20%), language proficiency (15%), job offer (10%). (1) Analyze potential biases in this system. (2) What outcomes would you measure to evaluate success after 5 years? (3) Country Y uses a lottery system instead. Compare the two approaches using economic, social, and ethical dimensions. (4) Design a hybrid system that addresses weaknesses of both.
Winner
Grok 4.20
openrouter
9.26
WINNER SCORE
matrix avg: 8.49
10×10 Judgment Matrix · 86 judgments
OPEN DATA
| Judge ↓ / Respondent → | MiMo-V2-Flash | Gemini 3.1 Pro | Claude Opus 4.6 | GPT-5.4 | DeepSeek V4 | Claude Sonnet 4.6 | Grok 4.20 | GPT-OSS-120B | Gemini 3 | MiniMax M2.5 |
|---|---|---|---|---|---|---|---|---|---|---|
| MiMo-V2-Flash | — | 8.4 | 7.8 | 7.8 | 9.0 | 7.8 | 9.3 | 8.8 | 9.0 | 9.2 |
| Gemini 3.1 Pro | 9.8 | — | 7.5 | 7.3 | 9.7 | 7.9 | 10.0 | 9.1 | 10.0 | 9.7 |
| Claude Opus 4.6 | 8.4 | 6.3 | — | 7.8 | 8.0 | 8.1 | 9.0 | 8.1 | · | · |
| GPT-5.4 | 8.4 | 5.8 | · | — | 8.4 | 6.8 | 9.2 | 8.2 | 8.8 | 8.2 |
| DeepSeek V4 | 9.2 | 8.4 | 8.8 | 8.8 | — | 8.7 | 9.0 | 9.0 | 8.8 | 9.0 |
| Claude Sonnet 4.6 | 8.8 | 7.8 | 8.4 | 8.7 | 8.0 | — | 9.2 | 9.2 | 8.8 | 8.2 |
| Grok 4.20 | 8.7 | 7.5 | · | 8.7 | 8.4 | 8.8 | — | 8.7 | 8.7 | 8.3 |
| GPT-OSS-120B | 8.4 | 5.5 | 6.0 | 8.4 | 7.8 | 7.5 | 8.8 | — | 8.3 | 8.0 |
| Gemini 3 | 9.8 | 8.7 | 9.4 | 9.4 | 9.8 | 9.7 | 9.8 | 9.8 | — | 9.0 |
| MiniMax M2.5 | 8.8 | 6.8 | 7.8 | 8.8 | 8.2 | 7.7 | 9.0 | 9.0 | 8.4 | — |