FIKA-Bench (Agents) - Public: leaderboard
Metric: Public-source split average, strict answer accuracy (%) on FIKA-Bench, open-ended fine-grained recognition questions (311 images from decontaminated public fine-grained datasets and real-life photos, each answer backed by human-verified evidence URLs, kept after strong closed-book models failed); a text-only LLM judge counts only answers at the required granularity as correct, multimodal agents with tools; higher is better. Source: arxiv.org. Saturation forecast: Around 2028. 3 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Qwen 3.5 397B A17B | 13.3 |
Interactive version: theaggregate.ai/benchmark?slug=fika-bench-agents-public · How It Works · Data refreshed daily, snapshot 2026-10-07.