Axis Spatial

Terminus-2 – Gemini 3.1 Flash-Lite (high) vs. Codex – GPT-6 Luna (medium): geospatial agent comparison

Comparison between Terminus-2 – Gemini 3.1 Flash-Lite (high) and Codex – GPT-6 Luna (medium) on the Geospatial Agent Index, each benchmark, cost, time and token use, from the same tasks, agent and limits. Methodology.

Side by side

Terminus-2 – Gemini 3.1 Flash-Lite (high) vs. Codex – GPT-6 Luna (medium)
MetricTerminus-2 – Gemini 3.1 Flash-Lite (high)Codex – GPT-6 Luna (medium)
Geospatial Agent Index56* (partial: attempt 1 on 175 of 488 tasks)57* (partial: attempt 1 on 460 of 488 tasks)
Earth-Bench V2 score5250
GeoBenchX score6156
GS-QA2 scoreNo data65
GeoAgentBench score (guided GIS workflow; outside the index)6994
GeoAnalystBench score (guided GIS workflow; outside the index)5889
Raster and remote sensing score5263
Vector and overlay score6065
Climate and time series score5547
Spatial statistics and interpolation score3122
Mapping and cartography score6976
Recognising infeasible requests score6238
Cost per task$0.020$0.0026
Time per task2.5 min1.3 min
Tokens per attempt49k86k
Turns per attempt5.66.4
Attempts decided175460
Input price per 1M tokens$0.25$0.10
Output price per 1M tokens$1.50$0.50
Context window1,048,576No data
Image inputYesNo data
DeveloperGoogleOpenAI

Charts

Partial coverage. Terminus-2 – Gemini 3.1 Flash-Lite (high): 27 of 117 Earth-Bench V2 tasks; 148 of 150 GeoBenchX tasks; GS-QA2 incomplete; Codex – GPT-6 Luna (medium): 122 of 150 GeoBenchX tasks. Grey placeholders identify these entries in the index, cost and output token charts; their height does not represent a value. Comparable bars appear when first-attempt coverage is complete. Their available results remain in the side-by-side table.

Geospatial Agent Index

Equal-weight average of the evaluation scores, 0 to 100 · Higher is better

Geospatial Agent IndexTerminus-2 – Gemini 3.1 Flash-Lite (high): Partial; Codex – GPT-6 Luna (medium): Partial0255075100PartialGemini 3.1 Flash-Lite (high)PartialGPT-6 Luna (medium)
Data table: Geospatial Agent Index
Geospatial Agent Index
ModelCreatorGeospatial Agent IndexRange while attempts are pendingBenchmarks coveredCoverage (attempts)

Cost per task

Average cost per task (USD) · Lower is better

Cost per taskTerminus-2 – Gemini 3.1 Flash-Lite (high): Partial; Codex – GPT-6 Luna (medium): Partial$0$0.25$0.50$0.75$1.00PartialGemini 3.1 Flash-Lite (high)PartialGPT-6 Luna (medium)
How to read this chart

Not shown: partial coverage. 2 entries without a first attempt on every index task. What is still running is on the models page.

Data table: Cost per task
Cost per task
ModelCreatorCost per taskCoverage (attempts)

Output tokens per task

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

Output tokens per taskTerminus-2 – Gemini 3.1 Flash-Lite (high): Partial; Codex – GPT-6 Luna (medium): Partial00011PartialGemini 3.1 Flash-Lite (high)PartialGPT-6 Luna (medium)
How to read this chart

Not shown: partial coverage. 2 entries without a first attempt on every index task. What is still running is on the models page.

Data table: Output tokens per task
Output tokens per task
ModelCreatorOutput tokens per taskCoverage (attempts)

Frequently asked questions

Which scores higher on the Geospatial Agent Index, Terminus-2 – Gemini 3.1 Flash-Lite (high) or Codex – GPT-6 Luna (medium)?
Not comparable yet: Terminus-2 – Gemini 3.1 Flash-Lite (high) has partial coverage (27 of 117 Earth-Bench V2 tasks; 148 of 150 GeoBenchX tasks; GS-QA2 incomplete) and Codex – GPT-6 Luna (medium) has partial coverage (122 of 150 GeoBenchX tasks), so it is not ranked. Terminus-2 – Gemini 3.1 Flash-Lite (high): 175 of 501 scheduled attempts (2 excluded). Codex – GPT-6 Luna (medium): 460 of 722 scheduled attempts. Coverage is partial; scores can change as more attempts are decided.
Which is cheaper per task, Terminus-2 – Gemini 3.1 Flash-Lite (high) or Codex – GPT-6 Luna (medium)?
Codex – GPT-6 Luna (medium), at $0.0026 against $0.020 for Terminus-2 – Gemini 3.1 Flash-Lite (high).
Which writes fewer output tokens per task, Terminus-2 – Gemini 3.1 Flash-Lite (high) or Codex – GPT-6 Luna (medium)?
Codex – GPT-6 Luna (medium), at 1k against 10k for Terminus-2 – Gemini 3.1 Flash-Lite (high).
Which has the larger context window, Terminus-2 – Gemini 3.1 Flash-Lite (high) or Codex – GPT-6 Luna (medium)?
Not known yet: Codex – GPT-6 Luna (medium) has no context window data.

More: Terminus-2 – Gemini 3.1 Flash-Lite (high) · Codex – GPT-6 Luna (medium) · all comparisons