Bio-VQA - Re-identification Discriminability: leaderboard
Fine-grained biological visual QA covering taxonomy, traits, spatial reasoning and individual re-identification. Signal-detection d-prime. Bio-VQA v1 Table3 native headline columns,18 generalist checkpoints bound to Table13. Greedy decoding, no sampling/chain-of-thought/few-shot; one attempt per item, same prompts and scorer. Do not replace these Table3 measures with differently defined appendix headline metrics. Domain-specialist embedding baselines, Mean and Floor rows are not generic evaluated VLMs and are not admitted.
Metric: Signal-detection d-prime. Source: arxiv.org. Saturation forecast: Rough model projection: around 2026. 18 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Qwen 3 VL 32B Instruct (Benchmark Sweep Run: source=BioVQA; greedy; zero-shot; noCoT; single-attempt; exact Table13 checkpoint) | 0.7 | |
| 2 | InternVL3-8B-Instruct (Benchmark Sweep Run: source=BioVQA; greedy; zero-shot; noCoT; single-attempt; exact Table13 checkpoint) | 0.68 | |
| 3 | Qwen 2.5 VL 3B Instruct (Benchmark Sweep Run: source=BioVQA; greedy; zero-shot; noCoT; single-attempt; exact Table13 checkpoint) | 0.66 | |
| 4 | InternVL3.5-30B-A3B-Instruct (Benchmark Sweep Run: source=BioVQA; greedy; zero-shot; noCoT; single-attempt; exact Table13 checkpoint) | 0.57 | |
| 5 | Phi-3.5-Vision Instruct (Benchmark Sweep Run: source=BioVQA; greedy; zero-shot; noCoT; single-attempt; exact Table13 checkpoint) | 0.56 | |
| 6 | Qwen 3 VL 30B A3B Instruct (Benchmark Sweep Run: source=BioVQA; greedy; zero-shot; noCoT; single-attempt; exact Table13 checkpoint) | 0.52 | |
| 7 | Qwen 3 VL 8B Instruct (Benchmark Sweep Run: source=BioVQA; greedy; zero-shot; noCoT; single-attempt; exact Table13 checkpoint) | 0.49 | |
| 8 | Molmo2-8B (Benchmark Sweep Run: source=BioVQA; greedy; zero-shot; noCoT; single-attempt; exact Table13 checkpoint) | 0.49 | |
| 9 | llava-v1.6-mistral-7B-hf (Benchmark Sweep Run: source=BioVQA; greedy; zero-shot; noCoT; single-attempt; exact Table13 checkpoint) | 0.48 | |
| 10 | InternVL3-38B-Instruct (Benchmark Sweep Run: source=BioVQA; greedy; zero-shot; noCoT; single-attempt; exact Table13 checkpoint) | 0.46 |
Interactive version: theaggregate.ai/benchmark?slug=bio-vqa-re-identification-discriminability · How It Works · Data refreshed daily, snapshot 2026-11-06.