Axis Spatial

Codex – GPT-6.1 Sol (xhigh) vs. Codex – GPT-6 Luna (xhigh): geospatial agent comparison

Comparison between Codex – GPT-6.1 Sol (xhigh) and Codex – GPT-6 Luna (xhigh) on the Geospatial Agent Index, each benchmark, cost, time and token use, from the same tasks, agent and limits. Methodology.

Side by side

Codex – GPT-6.1 Sol (xhigh) vs. Codex – GPT-6 Luna (xhigh)
MetricCodex – GPT-6.1 Sol (xhigh)Codex – GPT-6 Luna (xhigh)
Geospatial Agent Index78* (partial: 2 of 3 attempts)77* (partial: 1.9 of 3 attempts)
GeoAgentBench score10099
GeoBenchX score6460
Earth-Bench score4855
GeoAnalystBench score10095
Raster and remote sensing score7075
Vector and overlay score7878
Networks and routing score100100
Climate and time series score7275
Spatial statistics and interpolation score6263
Mapping and cartography score7364
Recognising infeasible requests score6662
Cost per task$0.124$0.0092
Time per task3.0 min3.4 min
Tokens per attempt201k236k
Turns per attempt9.09.8
Attempts decided551512
Input price per 1M tokens$2.00$0.10
Output price per 1M tokens$10.00$0.50
Context windowNo dataNo data
Image inputNo dataNo data
DeveloperOpenAIOpenAI

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): 78* (partial coverage); Codex – GPT-6 Luna (xhigh): 77* (partial coverage)025507510078*GPT-6.1 Sol (xhigh)77*GPT-6 Luna (xhigh)
Data table: Geospatial Agent Index
Geospatial Agent Index
ModelCreatorGeospatial Agent IndexRange while attempts are pendingBenchmarks coveredCoverage (attempts)
Codex – GPT-6.1 Sol (xhigh)OpenAI78* (partial: 2 of 3 attempts)74 to 794 of 4551 of 870 planned attempts
Codex – GPT-6 Luna (xhigh)OpenAI77* (partial: 1.9 of 3 attempts)72 to 784 of 4512 of 870 planned attempts

Cost per task

Average cost per task (USD) · Lower is better

  • Partial coverage
Cost per taskCodex – GPT-6 Luna (xhigh): $0.0092 (partial coverage); Codex – GPT-6.1 Sol (xhigh): $0.124 (partial coverage)$0$0.038$0.075$0.113$0.150$0.0092GPT-6 Luna (xhigh)$0.124GPT-6.1 Sol (xhigh)
Data table: Cost per task
Cost per task
ModelCreatorCost per taskCoverage (attempts)
Codex – GPT-6.1 Sol (xhigh)OpenAI$0.124591 of 870 planned attempts
Codex – GPT-6 Luna (xhigh)OpenAI$0.0092560 of 870 planned attempts

Time per task

Average agent wall time per task · Lower is better

  • Partial coverage
Time per taskCodex – GPT-6.1 Sol (xhigh): 3.0 min (partial coverage); Codex – GPT-6 Luna (xhigh): 3.4 min (partial coverage)0m1m2m3m4m3.0 minGPT-6.1 Sol (xhigh)3.4 minGPT-6 Luna (xhigh)
Data table: Time per task
Time per task
ModelCreatorTime per taskCoverage (attempts)
Codex – GPT-6.1 Sol (xhigh)OpenAI3.0 min591 of 870 planned attempts
Codex – GPT-6 Luna (xhigh)OpenAI3.4 min560 of 870 planned attempts

Frequently asked questions

Which scores higher on the Geospatial Agent Index, Codex – GPT-6.1 Sol (xhigh) or Codex – GPT-6 Luna (xhigh)?
Codex – GPT-6.1 Sol (xhigh), at 78 against 77 for Codex – GPT-6 Luna (xhigh). Codex – GPT-6.1 Sol (xhigh): 551 of 870 planned attempts. Codex – GPT-6 Luna (xhigh): 512 of 870 planned attempts. Coverage is partial; scores can change as more attempts are decided.
Which is cheaper per task, Codex – GPT-6.1 Sol (xhigh) or Codex – GPT-6 Luna (xhigh)?
Codex – GPT-6 Luna (xhigh), at $0.0092 against $0.124 for Codex – GPT-6.1 Sol (xhigh).
Which is faster per task, Codex – GPT-6.1 Sol (xhigh) or Codex – GPT-6 Luna (xhigh)?
Codex – GPT-6.1 Sol (xhigh), at 3.0 min against 3.4 min for Codex – GPT-6 Luna (xhigh).
Which has the larger context window, Codex – GPT-6.1 Sol (xhigh) or Codex – GPT-6 Luna (xhigh)?
Not known yet: Codex – GPT-6.1 Sol (xhigh) has no context window data and Codex – GPT-6 Luna (xhigh) has no context window data.

More: Codex – GPT-6.1 Sol (xhigh) · Codex – GPT-6 Luna (xhigh) · all comparisons