Axis Spatial - Vision agents: leaderboard

Axis Spatial's Vision agents cohort evaluates image-measurement agents over 64 reviewed aerial-image tasks under methodology 1.0. Every entry preserves its own model effort and agent harness, with one scored attempt per task and a two-hour limit. Code checks grade files and numerical/geometry outputs; Claude Sonnet 5.5 grades maps and traces where needed. Scores use the source's attempted/scored population, including its pending-trace policy; missing attempts are not zeros. These are adapted evaluator runs, not reproductions of the original papers.

Metric: Pass@1 (%). Source: www.axisspatial.com. Saturation forecast: Rough model projection: around 2026. 33 models tracked.

Top models

#ModelScoreOverall rank
1Claude Opus 5.5 (xHigh) (Axis Spatial Run: native=claude-code-claude-opus-5-5-xhigh; cfg=b2f9ca8815f8e318)96.88
2Claude Opus 5.5 (Max) (Axis Spatial Run: native=claude-code-claude-opus-5-5-max; cfg=64f5831c15f78626)92.19
3GPT-6 Sol (Medium) (Axis Spatial Run: native=codex-gpt-6-sol-medium; cfg=3ad67e314cdf0a04)90.91
4GPT-6.1 Sol (xHigh) (Axis Spatial Run: native=codex-gpt-6-1-sol-xhigh; cfg=3801b72ee5f0ebfa)90
5Claude Opus 5.5 (High) (Axis Spatial Run: native=claude-code-claude-opus-5-5-high; cfg=4142b177c8511092)89.06
6Claude Sonnet 5.5 (xHigh) (Axis Spatial Run: native=claude-code-claude-sonnet-5-5-xhigh; cfg=e5a25c0bac086827)89.06
7Claude Sonnet 5.5 (Max) (Axis Spatial Run: native=claude-code-claude-sonnet-5-5-max; cfg=1563014b684c3134)89.06
8Claude Opus 5.5 (Low) (Axis Spatial Run: native=claude-code-claude-opus-5-5-low; cfg=1e5ff5c147e0d76a)89.06
9GPT-6.1 Sol (High) (Axis Spatial Run: native=codex-gpt-6-1-sol-high; cfg=b35d923d12600043)85.94
10Claude Opus 5 (High) (Axis Spatial Run: native=claude-code-claude-opus-5-high; cfg=beb735020b8f0d3d)85.94

Interactive version: theaggregate.ai/benchmark?slug=axis-spatial-vision-agents · How It Works · Data refreshed daily, snapshot 2026-11-05.