Axis Spatial

GLM-5.2 (max), Terminus-2 vs. Nemotron 3.5 Lightning 30B (Reasoning), Terminus-2

GLM-5.2 (max), Terminus-2 against Nemotron 3.5 Lightning 30B (Reasoning), Terminus-2: Geospatial Agent Index, each evaluation, cost, time and tokens, on the same tasks and limits. Methodology.

Side by side

GLM-5.2 (max), Terminus-2 vs. Nemotron 3.5 Lightning 30B (Reasoning), Terminus-2
MetricGLM-5.2 (max), Terminus-2Nemotron 3.5 Lightning 30B (Reasoning), Terminus-2
Geospatial Agent Index: Text only7211
Geospatial Agent Index: Text + visionNo image inputNo data
Earth-Bench V2 score6816
GeoBenchX score6712
GS-QA2 score804
Vision agents scoreNo image inputNo data
GeoAgentBench score (Guided workflows; not in the Agent Index)9410
GeoAnalystBench score (Guided workflows; not in the Agent Index)9532
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 score7611
GIS analysis score827
Climate and time series score7115
Spatial statistics score620
Making maps score827
Recognising infeasible requests score4812
Cost per task$0.32$0.012
Time per task (at 100 output tokens/s)6.1 min4.9 min
Tokens per attempt416k249k
Turns per attempt13.617.3
Input price per 1M tokens$1.40$0.070
Output price per 1M tokens$4.40$0.20
Context window262,144262,144
Image inputNoNo
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-5.2 (max), Terminus-2: 72; Nemotron 3.5 Lightning 30B (Reasoning), Terminus-2: 11025507510072GLM-5.2 (max)11Nemotron 3.5 Lightning 30B (Reasoning)
Data table: Geospatial Agent Index
Geospatial Agent Index
ModelDeveloperGeospatial Agent Index
GLM-5.2 (max), Terminus-2Z.ai72
Nemotron 3.5 Lightning 30B (Reasoning), Terminus-2NVIDIA11

Cost per task

Average cost per task (USD) · Lower is better

Cost per taskCost per task in US dollars: Nemotron 3.5 Lightning 30B (Reasoning), Terminus-2: $0.012; GLM-5.2 (max), Terminus-2: $0.32$0$0.10$0.20$0.30$0.40$0.012Nemotron 3.5 Lightning 30B (Reasoning)$0.32GLM-5.2 (max)
Data table: Cost per task
Cost per task
ModelDeveloperCost per task
Nemotron 3.5 Lightning 30B (Reasoning), Terminus-2NVIDIA$0.012
GLM-5.2 (max), Terminus-2Z.ai$0.32

Output tokens per task

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

Output tokens per taskOutput tokens per task: Nemotron 3.5 Lightning 30B (Reasoning), Terminus-2: 6k; GLM-5.2 (max), Terminus-2: 30k010k20k30k40k6kNemotron 3.5 Lightning 30B (Reasoning)30kGLM-5.2 (max)
Data table: Output tokens per task
Output tokens per task
ModelDeveloperOutput tokens per task
Nemotron 3.5 Lightning 30B (Reasoning), Terminus-2NVIDIA6k
GLM-5.2 (max), Terminus-2Z.ai30k

Frequently asked questions

Which scores higher on the Geospatial Agent Index, GLM-5.2 (max), Terminus-2 or Nemotron 3.5 Lightning 30B (Reasoning), Terminus-2?
GLM-5.2 (max), Terminus-2, 72 to 11.
Which is cheaper per task, GLM-5.2 (max), Terminus-2 or Nemotron 3.5 Lightning 30B (Reasoning), Terminus-2?
Nemotron 3.5 Lightning 30B (Reasoning), Terminus-2, $0.012 to $0.32.
Which writes fewer output tokens per task, GLM-5.2 (max), Terminus-2 or Nemotron 3.5 Lightning 30B (Reasoning), Terminus-2?
Nemotron 3.5 Lightning 30B (Reasoning), Terminus-2, 6k to 30k.
Which has the larger context window, GLM-5.2 (max), Terminus-2 or Nemotron 3.5 Lightning 30B (Reasoning), Terminus-2?
They are level, at 262,144 tokens.

More: GLM-5.2 (max), Terminus-2 · Nemotron 3.5 Lightning 30B (Reasoning), Terminus-2 · All comparisons