ENC-Bench - Linestring Features: leaderboard

Metric: Accuracy (%) on ENC-Bench's 2,562 linestring features questions (Perception: identifying the type and direction of marked linear features such as tracks and depth contours; four options), 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; higher is better. Source: arxiv.org. Saturation forecast: Around September 2027. 10 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 2.5 Pro30.05#145
2Qwen 3 VL 235B A22B Instruct29.7#264
3Qwen 3 VL 32B Instruct29.39#276
4Gemini 2.5 Flash29.08#237
5Qwen 3 VL 32B (Thinking)28.45#287 (Qwen 3 VL 32B)
6Qwen 3 VL 235B A22B (Thinking)28.18#228 (Qwen 3 VL 235B A22B)
7GPT-4o21.58#333
8GLM-4.5V20.92#339
9InternVL3-38B19.87#395
10Llama 4 Maverick Instruct19.83#439

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-linestring-features · How It Works · Data refreshed daily, snapshot 2026-10-11.