Axis Spatial

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

GLM-5.3 (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 (low), Terminus-2 vs. Nemotron 3 Nano Omni 30B (Reasoning), Terminus-2
MetricGLM-5.3 (low), Terminus-2Nemotron 3 Nano Omni 30B (Reasoning), Terminus-2
Geospatial Agent Index: Text only6620
Geospatial Agent Index: Text + visionNo image inputNo data
Earth-Bench V2 score5729
GeoBenchX score6021
GS-QA2 score809
Vision agents scoreNo image inputNo data
GeoAgentBench score (Guided workflows; not in the Agent Index)9226
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 score7417
GIS analysis score756
Climate and time series score5927
Spatial statistics score230
Making maps score7716
Recognising infeasible requests score5333
Cost per task$0.27$0.13
Time per task (at 100 output tokens/s)2.7 min4.9 min
Tokens per attempt217k589k
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 (low), Terminus-2: 66; Nemotron 3 Nano Omni 30B (Reasoning), Terminus-2: 20025507510066GLM-5.3 (low)20Nemotron 3 Nano Omni 30B (Reasoning)
Data table: Geospatial Agent Index
Geospatial Agent Index
ModelDeveloperGeospatial Agent Index
GLM-5.3 (low), Terminus-2Z.ai66
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 (low), Terminus-2: $0.27$0$0.10$0.20$0.30$0.40$0.13Nemotron 3 Nano Omni 30B (Reasoning)$0.27GLM-5.3 (low)
Data table: Cost per task
Cost per task
ModelDeveloperCost per task
Nemotron 3 Nano Omni 30B (Reasoning), Terminus-2NVIDIA$0.13
GLM-5.3 (low), Terminus-2Z.ai$0.27

Output tokens per task

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

Output tokens per taskOutput tokens per task: GLM-5.3 (low), Terminus-2: 10k; Nemotron 3 Nano Omni 30B (Reasoning), Terminus-2: 22k010k20k30k40k10kGLM-5.3 (low)22kNemotron 3 Nano Omni 30B (Reasoning)
Data table: Output tokens per task
Output tokens per task
ModelDeveloperOutput tokens per task
GLM-5.3 (low), Terminus-2Z.ai10k
Nemotron 3 Nano Omni 30B (Reasoning), Terminus-2NVIDIA22k

Frequently asked questions

Which scores higher on the Geospatial Agent Index, GLM-5.3 (low), Terminus-2 or Nemotron 3 Nano Omni 30B (Reasoning), Terminus-2?
GLM-5.3 (low), Terminus-2, 66 to 20.
Which is cheaper per task, GLM-5.3 (low), Terminus-2 or Nemotron 3 Nano Omni 30B (Reasoning), Terminus-2?
Nemotron 3 Nano Omni 30B (Reasoning), Terminus-2, $0.13 to $0.27.
Which writes fewer output tokens per task, GLM-5.3 (low), Terminus-2 or Nemotron 3 Nano Omni 30B (Reasoning), Terminus-2?
GLM-5.3 (low), Terminus-2, 10k to 22k.
Which has the larger context window, GLM-5.3 (low), Terminus-2 or Nemotron 3 Nano Omni 30B (Reasoning), Terminus-2?
GLM-5.3 (low), Terminus-2, 1,048,576 tokens to 256,000 tokens.

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