Multimodal · Benchmark profile
A broad multimodal reasoning benchmark spanning charts, diagrams, tables, and academic visual question answering.
Data verified 21 Jul 2026 · Methodology 1.6.0
Benchmark score on Massive Multi-discipline Multimodal Understanding
Qwen3.6 Plus leads at 86%, followed by Qwen3.5-122B-A10B (83.9%) and Qwen3.6 27B (82.9%).
Visual analysis
Switch between model placement, score distribution and descriptive provider averages. Every view uses the same sourced leaderboard.
9 ranked models · higher is better
| Model | Rank | Provider | Score |
|---|---|---|---|
| Qwen3.6 Plus | #1 | Alibaba Cloud | 86% |
| Qwen3.5-122B-A10B | #2 | Alibaba Cloud | 83.9% |
| Qwen3.6 27B | #3 | Alibaba Cloud | 82.9% |
| Qwen3.5 27B | #4 | Alibaba Cloud | 82.3% |
| Qwen3.6-35B-A3B | #5 | Alibaba Cloud | 81.7% |
| Qwen3.5-35B-A3B | #6 | Alibaba Cloud | 81.4% |
| Command A+ | #7 | Cohere | 75.1% |
| Nemotron 3 Nano Omni 30B A3B | #8 | NVIDIA | 70.8% |
| LFM2.5-VL-450M | #9 | LiquidAI | 32.7% |
One best score per model · higher is better
| Rank | Model | Provider | License | Evidence use | Score |
|---|---|---|---|---|---|
| #1 | Qwen3.6 Plus qwen3-6-plus | Alibaba Cloud | closed | Reference only | 86% |
| #2 | Qwen3.5-122B-A10B qwen3-5-122b-a10b | Alibaba Cloud | open | Reference only | 83.9% |
| #3 | Qwen3.6 27B qwen3.6-27b | Alibaba Cloud | open | Estimated reference | 82.9% |
| #4 | Qwen3.5 27B qwen3.5-27b | Alibaba Cloud | open | Reference only | 82.3% |
| #5 | Qwen3.6-35B-A3B qwen3-6-35b-a3b | Alibaba Cloud | open | Estimated reference | 81.7% |
| #6 | Qwen3.5-35B-A3B qwen3-5-35b-a3b | Alibaba Cloud | open | Reference only | 81.4% |
| #7 | Command A+ command-a-plus | Cohere | open | Estimated reference | 75.1% |
| #8 | Nemotron 3 Nano Omni 30B A3B nemotron-3-nano-omni-30b-a3b | NVIDIA | open | Estimated reference | 70.8% |
| #9 | LFM2.5-VL-450M lfm2-5-vl-450m | LiquidAI | open | Estimated reference | 32.7% |
The top of this snapshot is led by Qwen3.6 Plus at 86%; third place is 3.1 points behind. The top-9 spread is 53.3 points.
About Massive Multi-discipline Multimodal Understanding
A broad multimodal reasoning benchmark spanning charts, diagrams, tables, and academic visual question answering. Results stay tied to the exact model variant and evaluation system. Multiple systems for the same model use the best published score on this page; overall Lumina scoring uses the median of ranking-eligible rows.
Open benchmark source ↗FAQ
A broad multimodal reasoning benchmark spanning charts, diagrams, tables, and academic visual question answering.
Qwen3.6 Plus by Alibaba Cloud currently leads with 86%.
9 models in the LuminaBench cohort have a qualifying score on this benchmark.
No. This benchmark is display-only and does not enter the overall Lumina composite.
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