Axis Spatial

Nemotron 3.5 Super VL 120B (Reasoning), Terminus-2 vs. Qwen 3.8 27B (xhigh), Terminus-2

Nemotron 3.5 Super VL 120B (Reasoning), Terminus-2 against Qwen 3.8 27B (xhigh), Terminus-2: Geospatial Agent Index, each evaluation, cost, time and tokens, on the same tasks and limits. Methodology.

Side by side

Nemotron 3.5 Super VL 120B (Reasoning), Terminus-2 vs. Qwen 3.8 27B (xhigh), Terminus-2
MetricNemotron 3.5 Super VL 120B (Reasoning), Terminus-2Qwen 3.8 27B (xhigh), Terminus-2
Geospatial Agent Index: Text only5261
Geospatial Agent Index: Text + visionNo dataNo data
Earth-Bench V2 score4644
GeoBenchX score5366
GS-QA2 score5974
Vision agents scoreNo dataNo data
GeoAgentBench score (Guided workflows; not in the Agent Index)6860
GeoAnalystBench score (Guided workflows; not in the Agent Index)3789
OGD4All score (standalone; in no index)No dataNo data
GeoNatureAgent score (standalone; in no index)No dataNo data
MultiGlobeQA score (standalone; in no index)No dataNo data
GeoAgentEval score (standalone; in no index)No dataNo data
Remote sensing and raster analysis score6164
GIS analysis score5177
Climate and time series score4642
Spatial statistics score3169
Making maps score6768
Recognising infeasible requests score4357
Cost per task$0.0096$0.10
Time per task (at 100 output tokens/s)3.8 min7.3 min
Tokens per attempt98k335k
Turns per attempt10.114.8
Input price per 1M tokens$0.15$0.45
Output price per 1M tokens$0.50$3.20
Context window262,144262,144
Image inputYesYes
DeveloperNVIDIAAlibaba (Qwen)

Charts

Geospatial Agent Index

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

Geospatial Agent IndexScores 0 to 100: Qwen 3.8 27B (xhigh), Terminus-2: 61; Nemotron 3.5 Super VL 120B (Reasoning), Terminus-2: 52025507510061Qwen 3.8 27B (xhigh)52Nemotron 3.5 Super VL 120B (Reasoning)
Data table: Geospatial Agent Index
Geospatial Agent Index
ModelDeveloperGeospatial Agent Index
Qwen 3.8 27B (xhigh), Terminus-2Alibaba (Qwen)61
Nemotron 3.5 Super VL 120B (Reasoning), Terminus-2NVIDIA52

Cost per task

Average cost per task (USD) · Lower is better

Cost per taskCost per task in US dollars: Nemotron 3.5 Super VL 120B (Reasoning), Terminus-2: $0.0096; Qwen 3.8 27B (xhigh), Terminus-2: $0.10$0$0.05$0.10$0.15$0.20$0.0096Nemotron 3.5 Super VL 120B (Reasoning)$0.10Qwen 3.8 27B (xhigh)
Data table: Cost per task
Cost per task
ModelDeveloperCost per task
Nemotron 3.5 Super VL 120B (Reasoning), Terminus-2NVIDIA$0.0096
Qwen 3.8 27B (xhigh), Terminus-2Alibaba (Qwen)$0.10

Output tokens per task

Average output tokens per attempt, reasoning included · Lower is better

Output tokens per taskOutput tokens per task: Nemotron 3.5 Super VL 120B (Reasoning), Terminus-2: 7k; Qwen 3.8 27B (xhigh), Terminus-2: 19k05k10k15k20k7kNemotron 3.5 Super VL 120B (Reasoning)19kQwen 3.8 27B (xhigh)
Data table: Output tokens per task
Output tokens per task
ModelDeveloperOutput tokens per task
Nemotron 3.5 Super VL 120B (Reasoning), Terminus-2NVIDIA7k
Qwen 3.8 27B (xhigh), Terminus-2Alibaba (Qwen)19k

Frequently asked questions

Which scores higher on the Geospatial Agent Index, Nemotron 3.5 Super VL 120B (Reasoning), Terminus-2 or Qwen 3.8 27B (xhigh), Terminus-2?
Qwen 3.8 27B (xhigh), Terminus-2, 61 to 52.
Which is cheaper per task, Nemotron 3.5 Super VL 120B (Reasoning), Terminus-2 or Qwen 3.8 27B (xhigh), Terminus-2?
Nemotron 3.5 Super VL 120B (Reasoning), Terminus-2, $0.0096 to $0.10.
Which writes fewer output tokens per task, Nemotron 3.5 Super VL 120B (Reasoning), Terminus-2 or Qwen 3.8 27B (xhigh), Terminus-2?
Nemotron 3.5 Super VL 120B (Reasoning), Terminus-2, 7k to 19k.
Which has the larger context window, Nemotron 3.5 Super VL 120B (Reasoning), Terminus-2 or Qwen 3.8 27B (xhigh), Terminus-2?
They are level, at 262,144 tokens.

More: Nemotron 3.5 Super VL 120B (Reasoning), Terminus-2 · Qwen 3.8 27B (xhigh), Terminus-2 · All comparisons