Axis Spatial

NVIDIA models: geospatial agent results

Geospatial Agent Benchmarks tests 3 entries from NVIDIA.

Highlights

Results

Geospatial Agent Index

Equal average of Earth-Bench V2, GeoBenchX and GS-QA2, 0 to 100 ยท Higher is better

Geospatial Agent IndexScores 0 to 100: Nemotron 3 Ultra (high), Terminus-2: 68; Nemotron 3.5 Super VL 120B (Reasoning), Terminus-2: 52; Nemotron 3 Nano Omni 30B (Reasoning), Terminus-2: 20025507510068Nemotron 3Ultra (high)Terminus-252Nemotron 3.5Super VL 120B(Reasoning)Terminus-220Nemotron 3Nano Omni 30B(Reasoning)Terminus-2
Data table: Geospatial Agent Index
NVIDIA models
ModelGeospatial Agent Index: Text onlyEarth-Bench V2GeoBenchXGS-QA2Vision agentsCost per taskTime per task (at 100 output tokens/s)Context window
Nemotron 3 Nano Omni 30B (Reasoning), Terminus-22029219No data$0.134.9 min256,000
Nemotron 3 Ultra (high), Terminus-268686570No data$0.0692.4 min262,144
Nemotron 3.5 Super VL 120B (Reasoning), Terminus-252465359No data$0.00963.8 min262,144