Benchmark Almanac

Nuscene

Models localize named objects as 3D boxes in nuScenes driving camera images. Scored by mAP.

Qwen lists it under spatial intelligence without a footnote, so the 3D grounding setup is inferred from its Hypersim row.

In the authors’ words

Robust detection and tracking of objects is crucial for the deployment of autonomous vehicle technology. Image based benchmark datasets have driven development in computer vision tasks such as object detection, tracking and segmentation of agents in the environment. Most autonomous vehicles, however, carry a combination of cameras and range sensors such as lidar and radar. As machine learning based methods for detection and tracking become more prevalent, there is a need to train and evaluate such methods on datasets containing range sensor data along with images. In this work we present nuTonomy scenes (nuScenes), the first dataset to carry the full autonomous vehicle sensor suite: 6 cameras, 5 radars and 1 lidar, all with full 360 degree field of view. nuScenes comprises 1000 scenes, each 20s long and fully annotated with 3D bounding boxes for 23 classes and 8 attributes. It has 7x as many annotations and 100x as many images as the pioneering KITTI dataset. We define novel 3D detection and tracking metrics. We also provide careful dataset analysis as well as baselines for lidar and image based detection and tracking. Data, development kit and more information are available online.

Abstract of nuScenes: A multimodal dataset for autonomous driving (arXiv:1903.11027, CC0)
Made by Motional (nuTonomy) Released Mar 2019 Detection and captioning All tasks public Last in a launch post Feb 2026 , dropped before it saturated Last model added Feb 2026
Level
Everyday Most adults, without training
Scored
Checked automatically A program checks the result against an answer key, unit tests or the expected final state.
Answers
Short answer A number, word or short string matched to a key.
2
Models scored in lab cards
2
Launch posts list it, from 1 lab

Qwen3.5 397B-A17B leads with 16.0

Best score per model as labs report them in their own cards. Labs pick their own settings, so these compare less cleanly than independent runs.

  1. 1 Qwen3.5 397B-A17B 16.0
  2. 2 Qwen3.5-122B-A10B 15.4
#ModelScoreSettingDateSource
1 Qwen3.5 397B-A17B 16.0 Feb 2026 Model card
2 Qwen3.5-122B-A10B 15.4 Feb 2026 Model card

Scores over time

All the scores we have, one dot each, so a model tested at several settings appears more than once.

Reported by the lab in its model card
15.4 15.6 15.8 16.0 2026 15.4 15.6 15.8 16.0 2026

Labs headline it less often now, last in Feb 2026

Launch posts from every lab that has listed it, one tick per post. Tall colored ticks include it, and short gray ones leave it out.

Qwen
DateLaunch postScoreAs the post writes it
24 Feb 2026 Qwen3.5-122B-A10B 15.4 Nuscene
16 Feb 2026 Qwen3.5 397B-A17B 16 Nuscene

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