Axis Spatial

gpt-oss-120b (low), Terminus-2 vs. Nemotron 3.5 Super VL 120B (Reasoning), Terminus-2

gpt-oss-120b (low), Terminus-2 against Nemotron 3.5 Super VL 120B (Reasoning), Terminus-2: Geospatial Agent Index, each evaluation, cost, time and tokens, on the same tasks and limits. Methodology.

Side by side

gpt-oss-120b (low), Terminus-2 vs. Nemotron 3.5 Super VL 120B (Reasoning), Terminus-2
Metricgpt-oss-120b (low), Terminus-2Nemotron 3.5 Super VL 120B (Reasoning), Terminus-2
Geospatial Agent Index: Text only3152
Geospatial Agent Index: Text + visionNo image inputNo data
Earth-Bench V2 score2846
GeoBenchX score3753
GS-QA2 score2959
Vision agents scoreNo image inputNo data
GeoAgentBench score (Guided workflows; not in the Agent Index)6068
GeoAnalystBench score (Guided workflows; not in the Agent Index)4737
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 score2561
GIS analysis score3451
Climate and time series score2946
Spatial statistics score831
Making maps score2167
Recognising infeasible requests score6043
Cost per task$0.0046$0.0096
Time per task (at 100 output tokens/s)0.5 min3.8 min
Tokens per attempt11k98k
Turns per attempt2.910.1
Input price per 1M tokens$0.35$0.15
Output price per 1M tokens$0.75$0.50
Context window128,000262,144
Image inputNoYes
DeveloperOpenAINVIDIA

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: Nemotron 3.5 Super VL 120B (Reasoning), Terminus-2: 52; gpt-oss-120b (low), Terminus-2: 31025507510052Nemotron 3.5 Super VL 120B (Reasoning)31gpt-oss-120b (low)
Data table: Geospatial Agent Index
Geospatial Agent Index
ModelDeveloperGeospatial Agent Index
Nemotron 3.5 Super VL 120B (Reasoning), Terminus-2NVIDIA52
gpt-oss-120b (low), Terminus-2OpenAI31

Cost per task

Average cost per task (USD) · Lower is better

Cost per taskCost per task in US dollars: gpt-oss-120b (low), Terminus-2: $0.0046; Nemotron 3.5 Super VL 120B (Reasoning), Terminus-2: $0.0096$0$0.0025$0.005$0.0075$0.01$0.0046gpt-oss-120b (low)$0.0096Nemotron 3.5 Super VL 120B (Reasoning)
Data table: Cost per task
Cost per task
ModelDeveloperCost per task
gpt-oss-120b (low), Terminus-2OpenAI$0.0046
Nemotron 3.5 Super VL 120B (Reasoning), Terminus-2NVIDIA$0.0096

Output tokens per task

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

Output tokens per taskOutput tokens per task: gpt-oss-120b (low), Terminus-2: 2k; Nemotron 3.5 Super VL 120B (Reasoning), Terminus-2: 7k02k4k6k8k2kgpt-oss-120b (low)7kNemotron 3.5 Super VL 120B (Reasoning)
Data table: Output tokens per task
Output tokens per task
ModelDeveloperOutput tokens per task
gpt-oss-120b (low), Terminus-2OpenAI2k
Nemotron 3.5 Super VL 120B (Reasoning), Terminus-2NVIDIA7k

Frequently asked questions

Which scores higher on the Geospatial Agent Index, gpt-oss-120b (low), Terminus-2 or Nemotron 3.5 Super VL 120B (Reasoning), Terminus-2?
Nemotron 3.5 Super VL 120B (Reasoning), Terminus-2, 52 to 31.
Which is cheaper per task, gpt-oss-120b (low), Terminus-2 or Nemotron 3.5 Super VL 120B (Reasoning), Terminus-2?
gpt-oss-120b (low), Terminus-2, $0.0046 to $0.0096.
Which writes fewer output tokens per task, gpt-oss-120b (low), Terminus-2 or Nemotron 3.5 Super VL 120B (Reasoning), Terminus-2?
gpt-oss-120b (low), Terminus-2, 2k to 7k.
Which has the larger context window, gpt-oss-120b (low), Terminus-2 or Nemotron 3.5 Super VL 120B (Reasoning), Terminus-2?
Nemotron 3.5 Super VL 120B (Reasoning), Terminus-2, 262,144 tokens to 128,000 tokens.

More: gpt-oss-120b (low), Terminus-2 · Nemotron 3.5 Super VL 120B (Reasoning), Terminus-2 · All comparisons