ENC-Bench - Point Features: leaderboard

Metric: Accuracy (%) on ENC-Bench's 7,830 point features questions (Perception: reading the attributes of point features such as buoys and lights in full chart scenes; 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 March 2027. 10 models tracked.

Top models

#ModelScoreOverall rank
1Qwen 3 VL 235B A22B Instruct51.79#264
2Qwen 3 VL 235B A22B (Thinking)49.34#228 (Qwen 3 VL 235B A22B)
3Qwen 3 VL 32B Instruct48.77#276
4Gemini 2.5 Pro45.38#145
5GLM-4.5V43.44#339
6Llama 4 Maverick Instruct42.75#439
7Gemini 2.5 Flash41.89#237
8GPT-4o36.39#333
9Qwen 3 VL 32B (Thinking)35.93#287 (Qwen 3 VL 32B)
10InternVL3-38B27.36#395

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