VehicleMemBench (Key-Value Store): leaderboard
Metric: Exact state match (%): share of VehicleMemBench's 500 executable in-vehicle queries whose final vehicle state after the agent's tool calls (at most 10 rounds, 111 vehicle APIs) matches the reference exactly; the agent must recall the preferences of three users from an average 93,000-token multi-day dialogue history; memory kept by the model itself in a key-value store through add, remove and search tool calls; higher is better. Source: arxiv.org. Saturation forecast: Around January 2027. 12 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Gemini 3 Pro (Preview) | 57.37 | #64 |
| 2 | GPT-5 | 52.4 | #91 |
| 3 | Qwen 3.5 397B A17B (Thinking) | 47.8 | #141 (Qwen 3.5 397B A17B) |
| 4 | GLM-5 (Thinking) | 47 | #137 (GLM-5) |
| 5 | Qwen 3 Max (Thinking) | 46.6 | #201 (Qwen 3 Max) |
| 6 | GLM-4.7 (Thinking) | 45.6 | #185 (GLM-4.7) |
| 7 | Kimi K2.5 (Thinking) | 44 | #139 (Kimi K2.5) |
| 8 | MiniMax-M2.5 | 32.6 | #295 |
| 9 | MiniMax-M2.1 | 30.4 | #283 |
| 10 | Doubao-Seed-1.6 (Thinking) | 26.6 | |
| 11 | GLM-4.7 Flash (Non-reasoning) | 19.6 | #496 (GLM-4.7 Flash) |
No result here: #3 Claude Opus 5.5, #5 GPT-6 Astra, #8 Claude Fable 5.1.
Interactive version: theaggregate.ai/benchmark?slug=vehiclemembench-key-value-store · How It Works · Data refreshed daily, snapshot 2026-10-11.