MLCR-AA - Completeness: leaderboard
Artificial Analysis evaluates medical long-context reasoning. The overall result and separate accuracy, completeness and conciseness rates measure the quality of answers derived from the supplied medical context.
Metric: Completeness (%). Source: artificialanalysis.ai. Saturation forecast: Around 2029. 176 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Claude Haiku 5.5 (Max) | 51.67 | #43 (Claude Haiku 5.5) |
| 2 | Claude Opus 5 (High) | 45 | #16 (Claude Opus 5) |
| 3 | Claude Opus 5 (xHigh) | 42.78 | #16 (Claude Opus 5) |
| 4 | GPT-6 Astra (Max) | 42.22 | #6 (GPT-6 Astra) |
| 5 | GPT-6 Astra (Medium) | 40.56 | #6 (GPT-6 Astra) |
| 6 | Claude Haiku 5.5 (xHigh) | 40.56 | #43 (Claude Haiku 5.5) |
| 7 | GPT-6.1 Sol (Max) | 40 | #7 (GPT-6.1 Sol) |
| 8 | Claude Sonnet 5 (Max) | 40 | #65 (Claude Sonnet 5) |
| 9 | Claude Opus 5 (Max) | 39.44 | #16 (Claude Opus 5) |
| 10 | Kimi K3.1 Pro | 39.44 | #17 |
| 11 | Claude Opus 5 (Medium) | 38.33 | #16 (Claude Opus 5) |
| 12 | GPT-5.6 Sol (Max) | 37.78 | #22 (GPT-5.6 Sol) |
| 13 | Claude Opus 4.8 (Max) | 37.78 | #39 (Claude Opus 4.8) |
| 14 | GPT-6 Astra (xHigh) | 37.78 | #6 (GPT-6 Astra) |
| 15 | Claude Opus 5 (Low) | 37.78 | #16 (Claude Opus 5) |
No result here: #3 Claude Opus 5.5, #10 Claude Fable 5.1.
Interactive version: theaggregate.ai/benchmark?slug=mlcr-aa-completeness · How It Works · Data refreshed daily, snapshot 2026-11-05.