Axis Spatial

Kimi K2.6 (Reasoning), Terminus-2 vs. Nemotron 3.5 Super VL 120B (Reasoning), Terminus-2

Kimi K2.6 (Reasoning), Terminus-2 against Nemotron 3.5 Super VL 120B (Reasoning), Terminus-2: Geospatial Agent Index, each evaluation, cost, time and tokens, on the same tasks and limits. Methodology.

Side by side

Kimi K2.6 (Reasoning), Terminus-2 vs. Nemotron 3.5 Super VL 120B (Reasoning), Terminus-2
MetricKimi K2.6 (Reasoning), Terminus-2Nemotron 3.5 Super VL 120B (Reasoning), Terminus-2
Geospatial Agent Index: Text only7052
Geospatial Agent Index: Text + visionNo dataNo data
Earth-Bench V2 score6846
GeoBenchX score6453
GS-QA2 score7759
Vision agents scoreNo dataNo data
GeoAgentBench score (Guided workflows; not in the Agent Index)9068
GeoAnalystBench score (Guided workflows; not in the Agent Index)7937
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 score7761
GIS analysis score7451
Climate and time series score6946
Spatial statistics score1531
Making maps score7767
Recognising infeasible requests score5743
Cost per task$0.089$0.0096
Time per task (at 100 output tokens/s)3.5 min3.8 min
Tokens per attempt175k98k
Turns per attempt12.810.1
Input price per 1M tokens$0.95$0.15
Output price per 1M tokens$4.00$0.50
Context window262,144262,144
Image inputYesYes
DeveloperMoonshot 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: Kimi K2.6 (Reasoning), Terminus-2: 70; Nemotron 3.5 Super VL 120B (Reasoning), Terminus-2: 52025507510070Kimi K2.6 (Reasoning)52Nemotron 3.5 Super VL 120B (Reasoning)
Data table: Geospatial Agent Index
Geospatial Agent Index
ModelDeveloperGeospatial Agent Index
Kimi K2.6 (Reasoning), Terminus-2Moonshot AI70
Nemotron 3.5 Super VL 120B (Reasoning), Terminus-2NVIDIA52

Cost per task

Average cost per task (USD) · Lower is better

Cost per taskCost per task in US dollars: Nemotron 3.5 Super VL 120B (Reasoning), Terminus-2: $0.0096; Kimi K2.6 (Reasoning), Terminus-2: $0.089$0$0.025$0.05$0.075$0.10$0.0096Nemotron 3.5 Super VL 120B (Reasoning)$0.089Kimi K2.6 (Reasoning)
Data table: Cost per task
Cost per task
ModelDeveloperCost per task
Nemotron 3.5 Super VL 120B (Reasoning), Terminus-2NVIDIA$0.0096
Kimi K2.6 (Reasoning), Terminus-2Moonshot AI$0.089

Output tokens per task

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

Output tokens per taskOutput tokens per task: Nemotron 3.5 Super VL 120B (Reasoning), Terminus-2: 7k; Kimi K2.6 (Reasoning), Terminus-2: 12k05k10k15k20k7kNemotron 3.5 Super VL 120B (Reasoning)12kKimi K2.6 (Reasoning)
Data table: Output tokens per task
Output tokens per task
ModelDeveloperOutput tokens per task
Nemotron 3.5 Super VL 120B (Reasoning), Terminus-2NVIDIA7k
Kimi K2.6 (Reasoning), Terminus-2Moonshot AI12k

Frequently asked questions

Which scores higher on the Geospatial Agent Index, Kimi K2.6 (Reasoning), Terminus-2 or Nemotron 3.5 Super VL 120B (Reasoning), Terminus-2?
Kimi K2.6 (Reasoning), Terminus-2, 70 to 52.
Which is cheaper per task, Kimi K2.6 (Reasoning), Terminus-2 or Nemotron 3.5 Super VL 120B (Reasoning), Terminus-2?
Nemotron 3.5 Super VL 120B (Reasoning), Terminus-2, $0.0096 to $0.089.
Which writes fewer output tokens per task, Kimi K2.6 (Reasoning), Terminus-2 or Nemotron 3.5 Super VL 120B (Reasoning), Terminus-2?
Nemotron 3.5 Super VL 120B (Reasoning), Terminus-2, 7k to 12k.
Which has the larger context window, Kimi K2.6 (Reasoning), Terminus-2 or Nemotron 3.5 Super VL 120B (Reasoning), Terminus-2?
They are level, at 262,144 tokens.

More: Kimi K2.6 (Reasoning), Terminus-2 · Nemotron 3.5 Super VL 120B (Reasoning), Terminus-2 · All comparisons