FIKA-Bench (Agents): leaderboard

Metric: Overall 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 search, browsing and reverse-image-search tools, 240 seconds per example; higher is better. Source: arxiv.org. Saturation forecast: Around July 2028. 3 models tracked.

Top models

Interactive version: theaggregate.ai/benchmark?slug=fika-bench-agents · How It Works · Data refreshed daily, snapshot 2026-10-07.