Axis Spatial

Nemotron 3 Ultra (high), Terminus-2 vs. GLM-5.3 (max), Claude Code

Nemotron 3 Ultra (high), Terminus-2 against GLM-5.3 (max), Claude Code: Geospatial Agent Index, each evaluation, cost, time and tokens, on the same tasks and limits. The harnesses differ, so part of any gap can come from the harness. Methodology.

Side by side

Nemotron 3 Ultra (high), Terminus-2 vs. GLM-5.3 (max), Claude Code
MetricNemotron 3 Ultra (high), Terminus-2GLM-5.3 (max), Claude Code
Geospatial Agent Index: Text only6873
Geospatial Agent Index: Text + visionNo dataNo image input
Earth-Bench V2 score6874
GeoBenchX score6565
GS-QA2 score7081
Vision agents scoreNo dataNo image input
GeoAgentBench score (Guided workflows; not in the Agent Index)9698
GeoAnalystBench score (Guided workflows; not in the Agent Index)6395
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 score7080
GIS analysis score7081
Climate and time series score6876
Spatial statistics score3138
Making maps score7075
Recognising infeasible requests score6858
Cost per task$0.069$0.48
Time per task (at 100 output tokens/s)2.4 min4.3 min
Tokens per attempt148k489k
Turns per attempt12.113.4
Input price per 1M tokens$0.50$1.40
Output price per 1M tokens$2.20$4.40
Context window262,1441,048,576
Image inputNoNo
DeveloperNVIDIAZ.ai

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), Claude Code: 73; Nemotron 3 Ultra (high), Terminus-2: 68025507510073GLM-5.3 (max)68Nemotron 3 Ultra (high)
Data table: Geospatial Agent Index
Geospatial Agent Index
ModelDeveloperGeospatial Agent Index
GLM-5.3 (max), Claude CodeZ.ai73
Nemotron 3 Ultra (high), Terminus-2NVIDIA68

Cost per task

Average cost per task (USD) · Lower is better

Cost per taskCost per task in US dollars: Nemotron 3 Ultra (high), Terminus-2: $0.069; GLM-5.3 (max), Claude Code: $0.48$0$0.15$0.30$0.45$0.60$0.069Nemotron 3 Ultra (high)$0.48GLM-5.3 (max)
Data table: Cost per task
Cost per task
ModelDeveloperCost per task
Nemotron 3 Ultra (high), Terminus-2NVIDIA$0.069
GLM-5.3 (max), Claude CodeZ.ai$0.48

Output tokens per task

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

Output tokens per taskOutput tokens per task: Nemotron 3 Ultra (high), Terminus-2: 10k; GLM-5.3 (max), Claude Code: 15k05k10k15k20k10kNemotron 3 Ultra (high)15kGLM-5.3 (max)
Data table: Output tokens per task
Output tokens per task
ModelDeveloperOutput tokens per task
Nemotron 3 Ultra (high), Terminus-2NVIDIA10k
GLM-5.3 (max), Claude CodeZ.ai15k

Frequently asked questions

Which scores higher on the Geospatial Agent Index, Nemotron 3 Ultra (high), Terminus-2 or GLM-5.3 (max), Claude Code?
GLM-5.3 (max), Claude Code, 73 to 68.
Which is cheaper per task, Nemotron 3 Ultra (high), Terminus-2 or GLM-5.3 (max), Claude Code?
Nemotron 3 Ultra (high), Terminus-2, $0.069 to $0.48.
Which writes fewer output tokens per task, Nemotron 3 Ultra (high), Terminus-2 or GLM-5.3 (max), Claude Code?
Nemotron 3 Ultra (high), Terminus-2, 10k to 15k.
Which has the larger context window, Nemotron 3 Ultra (high), Terminus-2 or GLM-5.3 (max), Claude Code?
GLM-5.3 (max), Claude Code, 1,048,576 tokens to 262,144 tokens.

More: Nemotron 3 Ultra (high), Terminus-2 · GLM-5.3 (max), Claude Code · All comparisons