Axis Spatial

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

GLM-5.3-Flash (low), 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-Flash (low), Terminus-2 vs. Nemotron 3 Nano Omni 30B (Reasoning), Terminus-2
MetricGLM-5.3-Flash (low), Terminus-2Nemotron 3 Nano Omni 30B (Reasoning), Terminus-2
Geospatial Agent Index: Text only6220
Geospatial Agent Index: Text + visionNo dataNo data
Earth-Bench V2 score5329
GeoBenchX score5721
GS-QA2 score769
Vision agents scoreNo dataNo data
GeoAgentBench score (Guided workflows; not in the Agent Index)9426
GeoAnalystBench score (Guided workflows; not in the Agent Index)9516
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 score6717
GIS analysis score756
Climate and time series score5927
Spatial statistics score380
Making maps score6716
Recognising infeasible requests score4733
Cost per task$0.048$0.13
Time per task (at 100 output tokens/s)4.2 min4.9 min
Tokens per attempt476k589k
Turns per attempt14.030.7
Input price per 1M tokens$0.15$0.20
Output price per 1M tokens$0.50$0.80
Context window1,048,576256,000
Image inputYesYes
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-Flash (low), Terminus-2: 62; Nemotron 3 Nano Omni 30B (Reasoning), Terminus-2: 20025507510062GLM-5.3-Flash (low)20Nemotron 3 Nano Omni 30B (Reasoning)
Data table: Geospatial Agent Index
Geospatial Agent Index
ModelDeveloperGeospatial Agent Index
GLM-5.3-Flash (low), Terminus-2Z.ai62
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: GLM-5.3-Flash (low), Terminus-2: $0.048; Nemotron 3 Nano Omni 30B (Reasoning), Terminus-2: $0.13$0$0.05$0.10$0.15$0.20$0.048GLM-5.3-Flash (low)$0.13Nemotron 3 Nano Omni 30B (Reasoning)
Data table: Cost per task
Cost per task
ModelDeveloperCost per task
GLM-5.3-Flash (low), Terminus-2Z.ai$0.048
Nemotron 3 Nano Omni 30B (Reasoning), Terminus-2NVIDIA$0.13

Output tokens per task

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

Output tokens per taskOutput tokens per task: GLM-5.3-Flash (low), Terminus-2: 15k; Nemotron 3 Nano Omni 30B (Reasoning), Terminus-2: 22k010k20k30k40k15kGLM-5.3-Flash (low)22kNemotron 3 Nano Omni 30B (Reasoning)
Data table: Output tokens per task
Output tokens per task
ModelDeveloperOutput tokens per task
GLM-5.3-Flash (low), Terminus-2Z.ai15k
Nemotron 3 Nano Omni 30B (Reasoning), Terminus-2NVIDIA22k

Frequently asked questions

Which scores higher on the Geospatial Agent Index, GLM-5.3-Flash (low), Terminus-2 or Nemotron 3 Nano Omni 30B (Reasoning), Terminus-2?
GLM-5.3-Flash (low), Terminus-2, 62 to 20.
Which is cheaper per task, GLM-5.3-Flash (low), Terminus-2 or Nemotron 3 Nano Omni 30B (Reasoning), Terminus-2?
GLM-5.3-Flash (low), Terminus-2, $0.048 to $0.13.
Which writes fewer output tokens per task, GLM-5.3-Flash (low), Terminus-2 or Nemotron 3 Nano Omni 30B (Reasoning), Terminus-2?
GLM-5.3-Flash (low), Terminus-2, 15k to 22k.
Which has the larger context window, GLM-5.3-Flash (low), Terminus-2 or Nemotron 3 Nano Omni 30B (Reasoning), Terminus-2?
GLM-5.3-Flash (low), Terminus-2, 1,048,576 tokens to 256,000 tokens.

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