Axis Spatial

Terminus-2 – Gemini 3.8 Flash (low) vs. Codex – GPT-6.1 Sol (xhigh): geospatial agent comparison

Comparison between Terminus-2 – Gemini 3.8 Flash (low) and Codex – GPT-6.1 Sol (xhigh) 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 3.8 Flash (low) vs. Codex – GPT-6.1 Sol (xhigh)
MetricTerminus-2 – Gemini 3.8 Flash (low)Codex – GPT-6.1 Sol (xhigh)
Geospatial Agent Index64* (attempts per task: 2.9)68* (attempts per task: 3.3)
GeoAgentBench score9698
GeoBenchX score6159
Earth-Bench score3722
GeoAnalystBench score6395
Raster and remote sensing score6247
Vector and overlay score6378
Networks and routing score100100
Climate and time series score5141
Spatial statistics and interpolation score4342
Mapping and cartography score5374
Recognising infeasible requests score8366
Cost per task$0.115$0.124
Time per task2.7 min3.1 min
Tokens per attempt314k201k
Turns per attempt17.99.0
Attempts decided833871
Input price per 1M tokens$0.75$2.00
Output price per 1M tokens$3.75$10.00
Context window1,048,576No data
Image inputYesNo data
DeveloperGoogleOpenAI

Charts

Geospatial Agent Index

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

  • Partial coverage
Geospatial Agent IndexCodex – GPT-6.1 Sol (xhigh): 68* (partial coverage); Terminus-2 – Gemini 3.8 Flash (low): 64* (partial coverage)025507510068*GPT-6.1 Sol (xhigh)64*Gemini 3.8 Flash (low)
Data table: Geospatial Agent Index
Geospatial Agent Index
ModelCreatorGeospatial Agent IndexRange while attempts are pendingBenchmarks coveredCoverage (attempts)
Codex – GPT-6.1 Sol (xhigh)OpenAI68* (attempts per task: 3.3)66 to 784 of 4871 of 1,167 planned attempts
Terminus-2 – Gemini 3.8 Flash (low)Google64* (attempts per task: 2.9)No pending judgements; coverage incomplete4 of 4833 of 1,167 planned attempts (74 excluded)

Cost per task

Average cost per task (USD) · Lower is better

  • Partial coverage
Cost per taskTerminus-2 – Gemini 3.8 Flash (low): $0.115 (partial coverage); Codex – GPT-6.1 Sol (xhigh): $0.124 (partial coverage)$0$0.038$0.075$0.113$0.150$0.115Gemini 3.8 Flash (low)$0.124GPT-6.1 Sol (xhigh)
Data table: Cost per task
Cost per task
ModelCreatorCost per taskCoverage (attempts)
Terminus-2 – Gemini 3.8 Flash (low)Google$0.115833 of 1,167 planned attempts (74 excluded)
Codex – GPT-6.1 Sol (xhigh)OpenAI$0.124949 of 1,167 planned attempts

Time per task

Average agent wall time per task · Lower is better

  • Partial coverage
Time per taskTerminus-2 – Gemini 3.8 Flash (low): 2.7 min (partial coverage); Codex – GPT-6.1 Sol (xhigh): 3.1 min (partial coverage)0m1m2m2m3m2.7 minGemini 3.8 Flash (low)3.1 minGPT-6.1 Sol (xhigh)
Data table: Time per task
Time per task
ModelCreatorTime per taskCoverage (attempts)
Terminus-2 – Gemini 3.8 Flash (low)Google2.7 min833 of 1,167 planned attempts (74 excluded)
Codex – GPT-6.1 Sol (xhigh)OpenAI3.1 min949 of 1,167 planned attempts

Frequently asked questions

Which scores higher on the Geospatial Agent Index, Terminus-2 – Gemini 3.8 Flash (low) or Codex – GPT-6.1 Sol (xhigh)?
Codex – GPT-6.1 Sol (xhigh), at 68 against 64 for Terminus-2 – Gemini 3.8 Flash (low). Terminus-2 – Gemini 3.8 Flash (low): 833 of 1,167 planned attempts (74 excluded). Codex – GPT-6.1 Sol (xhigh): 871 of 1,167 planned attempts. Coverage is partial; scores can change as more attempts are decided.
Which is cheaper per task, Terminus-2 – Gemini 3.8 Flash (low) or Codex – GPT-6.1 Sol (xhigh)?
Terminus-2 – Gemini 3.8 Flash (low), at $0.115 against $0.124 for Codex – GPT-6.1 Sol (xhigh).
Which is faster per task, Terminus-2 – Gemini 3.8 Flash (low) or Codex – GPT-6.1 Sol (xhigh)?
Terminus-2 – Gemini 3.8 Flash (low), at 2.7 min against 3.1 min for Codex – GPT-6.1 Sol (xhigh).
Which has the larger context window, Terminus-2 – Gemini 3.8 Flash (low) or Codex – GPT-6.1 Sol (xhigh)?
Not known yet: Codex – GPT-6.1 Sol (xhigh) has no context window data.

More: Terminus-2 – Gemini 3.8 Flash (low) · Codex – GPT-6.1 Sol (xhigh) · all comparisons