Axis Spatial

Terminus-2 – gpt-oss-120b (low) vs. Codex – gpt-oss-20b (high): geospatial agent comparison

Comparison between Terminus-2 – gpt-oss-120b (low) and Codex – gpt-oss-20b (high) 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 – gpt-oss-120b (low) vs. Codex – gpt-oss-20b (high)
MetricTerminus-2 – gpt-oss-120b (low)Codex – gpt-oss-20b (high)
Geospatial Agent Index28*4* (partial: attempt 1 on 173 of 565 tasks)
Earth-Bench V2 score240
GeoBenchX score328
GS-QA2 score27No data
GeoAgentBench score (guided GIS workflow; outside the index)60No data
GeoAnalystBench score (guided GIS workflow; outside the index)47No data
Raster and remote sensing score220
Vector and overlay score3125
Networks and routing scoreNo dataNo data
Climate and time series score260
Spatial statistics and interpolation score70
Mapping and cartography score204
Recognising infeasible requests score4712
Cost per task$0.0048$0.140
Time per task0.7 min8.0 min
Tokens per attempt12k683k
Turns per attempt2.929.5
Attempts decided565170
Input price per 1M tokens$0.35$0.20
Output price per 1M tokens$0.75$0.30
Context window128,000128,000
Image inputNoNo
DeveloperOpenAIOpenAI

Charts

Partial coverage. Codex – gpt-oss-20b (high): 32 of 147 Earth-Bench V2 tasks; 141 of 173 GeoBenchX tasks; GS-QA2 incomplete. 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

  • Planned attempts still to come
Geospatial Agent IndexTerminus-2 – gpt-oss-120b (low): 28* (partial coverage); Codex – gpt-oss-20b (high): Partial025507510028*gpt-oss-120b (low)Partialgpt-oss-20b (high)
Data table: Geospatial Agent Index
Geospatial Agent Index
ModelCreatorGeospatial Agent IndexRange while attempts are pendingBenchmarks coveredCoverage (attempts)
Terminus-2 – gpt-oss-120b (low)OpenAI28*No pending judgements; coverage incomplete; 65 results awaiting review3 of 3565 of 859 planned attempts

Cost per task

Average cost per task (USD) · Lower is better

  • Planned attempts still to come
Cost per taskTerminus-2 – gpt-oss-120b (low): $0.0048 (partial coverage); Codex – gpt-oss-20b (high): Partial$0$0.0013$0.0025$0.0037$0.0050$0.0048gpt-oss-120b (low)Partialgpt-oss-20b (high)
How to read this chart

Not shown: partial coverage. Codex – gpt-oss-20b (high).

Data table: Cost per task
Cost per task
ModelCreatorCost per taskCoverage (attempts)
Terminus-2 – gpt-oss-120b (low)OpenAI$0.0048565 of 859 planned attempts

Output tokens per task

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

  • Planned attempts still to come
Output tokens per taskTerminus-2 – gpt-oss-120b (low): 2k (partial coverage); Codex – gpt-oss-20b (high): Partial05001k2k2k2kgpt-oss-120b (low)Partialgpt-oss-20b (high)
How to read this chart

Not shown: partial coverage. Codex – gpt-oss-20b (high).

Data table: Output tokens per task
Output tokens per task
ModelCreatorOutput tokens per taskCoverage (attempts)
Terminus-2 – gpt-oss-120b (low)OpenAI2k565 of 859 planned attempts

Frequently asked questions

Which scores higher on the Geospatial Agent Index, Terminus-2 – gpt-oss-120b (low) or Codex – gpt-oss-20b (high)?
Not comparable yet: Codex – gpt-oss-20b (high) has partial coverage (32 of 147 Earth-Bench V2 tasks; 141 of 173 GeoBenchX tasks; GS-QA2 incomplete), so it is not ranked. Terminus-2 – gpt-oss-120b (low): 565 of 859 planned attempts. Codex – gpt-oss-20b (high): 170 of 614 planned attempts. Coverage is partial; scores can change as more attempts are decided.
Which is cheaper per task, Terminus-2 – gpt-oss-120b (low) or Codex – gpt-oss-20b (high)?
Terminus-2 – gpt-oss-120b (low), at $0.0048 against $0.140 for Codex – gpt-oss-20b (high).
Which writes fewer output tokens per task, Terminus-2 – gpt-oss-120b (low) or Codex – gpt-oss-20b (high)?
Terminus-2 – gpt-oss-120b (low), at 2k against 29k for Codex – gpt-oss-20b (high).
Which has the larger context window, Terminus-2 – gpt-oss-120b (low) or Codex – gpt-oss-20b (high)?
They are level, at 128,000 tokens.

More: Terminus-2 – gpt-oss-120b (low) · Codex – gpt-oss-20b (high) · all comparisons