Codex – gpt-oss-120b (high) vs. Codex – GPT-6 Sol (high): geospatial agent comparison

Comparison between Codex – gpt-oss-120b (high) and Codex – GPT-6 Sol (high) 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-oss-120b (high) vs. Codex – GPT-6 Sol (high)
Metric	Codex – gpt-oss-120b (high)	Codex – GPT-6 Sol (high)
Geospatial Agent Index	43*	80* (partial: attempt 1 on 475 of 488 tasks)
Earth-Bench V2 score	49	76
GeoBenchX score	55	75
GS-QA2 score	25	89
GeoAgentBench score (guided GIS workflow; outside the index)	No data	100
GeoAnalystBench score (guided GIS workflow; outside the index)	No data	100
Raster and remote sensing score	40	84
Vector and overlay score	23	86
Climate and time series score	44	80
Spatial statistics and interpolation score	0	33
Mapping and cartography score	61	85
Recognising infeasible requests score	62	79
Cost per task	$0.26	$0.080
Time per task	11.7 min	1.7 min
Tokens per attempt	700k	144k
Turns per attempt	29.8	8.6
Attempts decided	488	460
Input price per 1M tokens	$0.35	$2.00
Output price per 1M tokens	$0.75	$10.00
Context window	128,000	No data
Image input	No	No data
Developer	OpenAI	OpenAI

Charts

Partial coverage. Codex – GPT-6 Sol (high): 116 of 117 Earth-Bench V2 tasks; 138 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

Attempts still to run

Data table: Geospatial Agent Index

Geospatial Agent Index
Model	Creator	Geospatial Agent Index	Range while attempts are pending	Benchmarks covered	Coverage (attempts)
Codex – gpt-oss-120b (high)	OpenAI	43*	No pending judgements; coverage incomplete; 58 results awaiting review	3 of 3	488 of 722 scheduled attempts (7 excluded)

Cost per task

Average cost per task (USD) · Lower is better

Attempts still to run

How to read this chart

Not shown: partial coverage. 1 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
Model	Creator	Cost per task	Coverage (attempts)
Codex – gpt-oss-120b (high)	OpenAI	$0.26	488 of 722 scheduled attempts (7 excluded)

Output tokens per task

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

Attempts still to run

How to read this chart

Not shown: partial coverage. 1 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
Model	Creator	Output tokens per task	Coverage (attempts)
Codex – gpt-oss-120b (high)	OpenAI	27k	488 of 722 scheduled attempts (7 excluded)

Frequently asked questions

Which scores higher on the Geospatial Agent Index, Codex – gpt-oss-120b (high) or Codex – GPT-6 Sol (high)?

Not comparable yet: Codex – GPT-6 Sol (high) has partial coverage (116 of 117 Earth-Bench V2 tasks; 138 of 150 GeoBenchX tasks), so it is not ranked. Codex – gpt-oss-120b (high): 488 of 722 scheduled attempts (7 excluded). Codex – GPT-6 Sol (high): 460 of 722 scheduled attempts. Coverage is partial; scores can change as more attempts are decided.

Which is cheaper per task, Codex – gpt-oss-120b (high) or Codex – GPT-6 Sol (high)?

Codex – GPT-6 Sol (high), at $0.080 against $0.26 for Codex – gpt-oss-120b (high).

Which writes fewer output tokens per task, Codex – gpt-oss-120b (high) or Codex – GPT-6 Sol (high)?

Codex – GPT-6 Sol (high), at 3k against 27k for Codex – gpt-oss-120b (high).

Which has the larger context window, Codex – gpt-oss-120b (high) or Codex – GPT-6 Sol (high)?

Not known yet: Codex – GPT-6 Sol (high) has no context window data.

More: Codex – gpt-oss-120b (high) · Codex – GPT-6 Sol (high) · all comparisons