Model
Qwen-VL-Max
Alibaba · open weights
Knowledge & Reasoning
Knowledge & Reasoning| Benchmark | Score | Metric | Harness | Source | Confidence | Link |
|---|---|---|---|---|---|---|
| ScienceQA | 68.2 | score | N/A | Independent | medium | proceedings.neurips.cc |
Math
MathMultimodal
Multimodal| Benchmark | Score | Metric | Harness | Source | Confidence | Link |
|---|---|---|---|---|---|---|
| ChartQA | 66.3 | 1:1_accuracy | N/A | Independent | medium | arxiv.org |
| EmbSpatial-Bench | 49.1 | generation | N/A | Independent | medium | arxiv.org |
| InfiMM-Eval | 37.4 | overall_score | N/A | Independent | medium | arxiv.org |
| MM-Vet | 66.6 | gpt-4_score | N/A | Independent | medium | arxiv.org |
| MM-Vet v2 | 55.8 | gpt-4_score | N/A | Independent | medium | arxiv.org |
| ScreenSpot | 5.2 | accuracy_(%) | N/A | Independent | medium | arxiv.org |
| SME | 24.3 | bleu-4 | N/A | Independent | medium | arxiv.org |
| SpatialViz-Bench | 32.0 | overall_score | N/A | Independent | medium | arxiv.org |
| Video-MME | 51.3 | overall_(no_subtitles) | N/A | Independent | medium | video-mme.github.io |
| WOVEN | 69.6 | accuracy | N/A | Independent | medium | arxiv.org |
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