Axis Spatial

GLM-5.3 (max), Terminus-2 vs. Nemotron 3 Nano Omni 30B (Reasoning), Terminus-2

GLM-5.3 (max), Terminus-2 against Nemotron 3 Nano Omni 30B (Reasoning), Terminus-2: Geospatial Agent Index, each evaluation, cost, time and tokens, on the same tasks and limits. Methodology.

Side by side

GLM-5.3 (max), Terminus-2 vs. Nemotron 3 Nano Omni 30B (Reasoning), Terminus-2
MetricGLM-5.3 (max), Terminus-2Nemotron 3 Nano Omni 30B (Reasoning), Terminus-2
Geospatial Agent Index: Text only7020
Geospatial Agent Index: Text + visionNo image inputNo data
Earth-Bench V2 score6429
GeoBenchX score6521
GS-QA2 score839
Vision agents scoreNo image inputNo data
GeoAgentBench score (Guided workflows; not in the Agent Index)9426
GeoAnalystBench score (Guided workflows; not in the Agent Index)8416
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 score7617
GIS analysis score806
Climate and time series score7127
Spatial statistics score540
Making maps score7516
Recognising infeasible requests score5533
Cost per task$0.38$0.13
Time per task (at 100 output tokens/s)4.2 min4.9 min
Tokens per attempt278k589k
Turns per attempt10.430.7
Input price per 1M tokens$1.40$0.20
Output price per 1M tokens$4.40$0.80
Context window1,048,576256,000
Image inputNoYes
DeveloperZ.aiNVIDIA

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: GLM-5.3 (max), Terminus-2: 70; Nemotron 3 Nano Omni 30B (Reasoning), Terminus-2: 20025507510070GLM-5.3 (max)20Nemotron 3 Nano Omni 30B (Reasoning)
Data table: Geospatial Agent Index
Geospatial Agent Index
ModelDeveloperGeospatial Agent Index
GLM-5.3 (max), Terminus-2Z.ai70
Nemotron 3 Nano Omni 30B (Reasoning), Terminus-2NVIDIA20

Cost per task

Average cost per task (USD) · Lower is better

Cost per taskCost per task in US dollars: Nemotron 3 Nano Omni 30B (Reasoning), Terminus-2: $0.13; GLM-5.3 (max), Terminus-2: $0.38$0$0.10$0.20$0.30$0.40$0.13Nemotron 3 Nano Omni 30B (Reasoning)$0.38GLM-5.3 (max)
Data table: Cost per task
Cost per task
ModelDeveloperCost per task
Nemotron 3 Nano Omni 30B (Reasoning), Terminus-2NVIDIA$0.13
GLM-5.3 (max), Terminus-2Z.ai$0.38

Output tokens per task

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

Output tokens per taskOutput tokens per task: GLM-5.3 (max), Terminus-2: 19k; Nemotron 3 Nano Omni 30B (Reasoning), Terminus-2: 22k010k20k30k40k19kGLM-5.3 (max)22kNemotron 3 Nano Omni 30B (Reasoning)
Data table: Output tokens per task
Output tokens per task
ModelDeveloperOutput tokens per task
GLM-5.3 (max), Terminus-2Z.ai19k
Nemotron 3 Nano Omni 30B (Reasoning), Terminus-2NVIDIA22k

Frequently asked questions

Which scores higher on the Geospatial Agent Index, GLM-5.3 (max), Terminus-2 or Nemotron 3 Nano Omni 30B (Reasoning), Terminus-2?
GLM-5.3 (max), Terminus-2, 70 to 20.
Which is cheaper per task, GLM-5.3 (max), Terminus-2 or Nemotron 3 Nano Omni 30B (Reasoning), Terminus-2?
Nemotron 3 Nano Omni 30B (Reasoning), Terminus-2, $0.13 to $0.38.
Which writes fewer output tokens per task, GLM-5.3 (max), Terminus-2 or Nemotron 3 Nano Omni 30B (Reasoning), Terminus-2?
GLM-5.3 (max), Terminus-2, 19k to 22k.
Which has the larger context window, GLM-5.3 (max), Terminus-2 or Nemotron 3 Nano Omni 30B (Reasoning), Terminus-2?
GLM-5.3 (max), Terminus-2, 1,048,576 tokens to 256,000 tokens.

More: GLM-5.3 (max), Terminus-2 · Nemotron 3 Nano Omni 30B (Reasoning), Terminus-2 · All comparisons