ENC-Bench: leaderboard

Metric: Mean accuracy (%) over ENC-Bench's seven multiple-choice perception and maritime decision-making tasks (symbol recognition; point, linestring and polygon features; track direction, safety passage and anchorage selection) on ENC-Bench's 840 NOAA S-57 electronic navigational charts rendered with OpenCPN in day, dusk and night palettes at six scales, zero-shot; the spatial reasoning tasks are not included; higher is better. Source: arxiv.org. Saturation forecast: Around March 2027. 10 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 2.5 Pro47.88#145
2Qwen 3 VL 235B A22B Instruct46.91#264
3Qwen 3 VL 235B A22B (Thinking)46.68#228 (Qwen 3 VL 235B A22B)
4Gemini 2.5 Flash44.85#237
5Qwen 3 VL 32B Instruct42.82#276
6Qwen 3 VL 32B (Thinking)40.59#287 (Qwen 3 VL 32B)
7GLM-4.5V38.55#339
8InternVL3-38B37.04#395
9Llama 4 Maverick Instruct36.44#439
10GPT-4o34.87#333

No result here: #3 Claude Opus 5.5, #5 GPT-6 Astra, #8 Claude Fable 5.1.

Interactive version: theaggregate.ai/benchmark?slug=enc-bench · How It Works · Data refreshed daily, snapshot 2026-10-11.