Internal Sycophancy
Can the model solve difficult problems that require more than factual recall?
Reasoning5 ranked models5 reported values1 reportsHigher is better
Top rankings
One row per model, using its best reported score across effort settings.
| Rank | Model | Best score | Best reported setting |
|---|---|---|---|
| 1 | Gemini 3.1 ProGoogle | 65.6% | high effortMeta report1 value · 1 reportJul 9, 2026 · source |
| 2 | Muse Spark 1.0Meta | 57.9% | Reported configurationMeta report1 value · 1 reportJul 9, 2026 · source |
| 3 | Muse Spark 1.1Meta | 49.2% | xhigh effortMeta report1 value · 1 reportJul 9, 2026 · source |
| 4 | GPT-5.5OpenAI | 45.5% | xhigh effortMeta report1 value · 1 reportJul 9, 2026 · source |
| 5 | Claude Opus 4.8Anthropic | 32.4% | max effortMeta report1 value · 1 reportJul 9, 2026 · source |
Effort curve
Every sourced cost-linked effort value for this exact version. Lines connect complete sweeps only.
No cost-linked effort sweep for this version.
Definition and comparison boundaryinternal methodology
Can the model solve difficult problems that require more than factual recall?
Multi-step reasoning on academic, mathematical, or abstract problems. Higher is better. The value is the percentage reported in this lab's table.
This is a publisher-defined internal evaluation. The task set or grading details are not fully public, so treat it as directional evidence.
Method / source