MemLens (32K) - Knowledge Update: leaderboard
Metric: Accuracy (%) on the knowledge update (KU, 116 questions) at a 32K-token history, interleaved multimodal multi-session conversation history with the evidence sessions hidden among haystack sessions, judged correct or incorrect by a Qwen3-VL-235B-A22B-Instruct judge; higher is better. Source: arxiv.org. Saturation forecast: Around 2029. 27 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Kimi K2.5 | 50.86 |
| 2 | Gemini 3.1 Pro (Preview) | 49.14 |
| 3 | Qwen 3.5 122B A10B | 49.14 |
| 4 | GPT-5.4 | 47.41 |
| 5 | GLM-4.6V | 43.97 |
| 6 | Qwen 3.5 9B | 43.1 |
| 7 | Qwen 3.5 27B | 42.24 |
| 8 | Qwen 3 VL 235B A22B Instruct | 40.52 |
| 9 | Nemotron Nano 12B v2 VL | 39.66 |
| 10 | Qwen 3 VL 30B A3B Instruct | 37.93 |
| 11 | Qwen 3 VL 235B A22B (Thinking) | 36.21 |
| 12 | Qwen 3.5 4B | 34.48 |
| 13 | Qwen 3 VL 8B Instruct | 33.62 |
| 14 | Qwen 3.5 2B | 33.62 |
| 15 | Qwen 3 VL 4B (Thinking) | 33.62 |
Interactive version: theaggregate.ai/benchmark?slug=memlens-32k-knowledge-update · How It Works · Data refreshed daily, snapshot 2026-10-07.