MultimodalLuozheng Qin et al.
MJev-Spatial released
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MJev-Spatial released — instead of writing out an answer to a spatial question as text, it solves it as a multiple-choice problem, scoring options, numbers and 2D coordinates with projections the model already has and settling the answer in a single computation
Why it matters
The authors reported that, trained on 12.3 million question-answer pairs on top of Qwen3.5-4B, it ranked No. 1 among the 8 models compared, with an overall 65.64%, and was No. 1 on 7 of 12 benchmarks. They reported it was 2.5 times faster than the fastest generative approach and 5.6 times faster than the model it was built on
Source — Primary sources first; secondary reports are labelled “Press”
Paperarxiv.orghttps://arxiv.org/abs/2610.22276Added in Week 43, 2026 · See that week
On the map — ⑦ Multimodal line
- Previous stopGoogle DeepMind
- This recordMJev-Spatial
- Next stopworld model Genie 4