FIKA-Bench - Real-Life: leaderboard
Metric: Real-life 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, closed-book models (no tools); higher is better. Source: arxiv.org. Saturation forecast: Around January 2028. 10 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Kimi K2.6 | 31 |
| 2 | Gemini 3.1 Flash Lite | 26.7 |
| 3 | Qwen 3.5 397B A17B | 25.9 |
| 4 | GPT-5 Mini | 20.7 |
| 5 | Qwen 3 VL 235B A22B | 20.7 |
| 6 | GLM-5V Turbo | 20.7 |
| 7 | Qwen 3.5 9B | 15.5 |
Interactive version: theaggregate.ai/benchmark?slug=fika-bench-real-life · How It Works · Data refreshed daily, snapshot 2026-10-07.