Context-Bench Skills — leaderboard
Letta agentic context engineering benchmark: skills suite testing task completion and skill use capabilities across multi-step agentic workflows.
Metric: Task Completion (%). Source: leaderboard.letta.com. Status: saturation imminent. 22 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-5.2 (xHigh) | 85.31 |
| 2 | GPT-5.2 (High) | 84.47 |
| 3 | Claude Opus 4.6 | 81.32 |
| 4 | Claude Sonnet 4.6 | 79.08 |
| 5 | GPT-5.2 (Medium) | 77.55 |
| 6 | Claude Sonnet 4.5 | 76.5 |
| 7 | Claude Opus 4.5 (20251101) | 75.54 |
| 8 | DeepSeek V3 Chat | 75.33 |
| 9 | Claude Opus 4.1 (20250805) | 74.4 |
| 10 | Gemini 3 Pro | 72.73 |
| 11 | DeepSeek Reasoner | 70.48 |
| 12 | GPT-5 | 70.2 |
| 13 | Claude Haiku 4.5 (20251001) | 69.7 |
| 14 | GPT-5 Mini | 68.8 |
| 15 | GLM-4.6 | 65.9 |
Interactive version: theaggregate.ai/benchmark?slug=context-bench-skills · How the rankings work · Data refreshed daily, snapshot 2026-07-22.