Codex – gpt-oss-20b (high) vs. Codex – GPT-5.6 Sol (high): geospatial agent comparison

Comparison between Codex – gpt-oss-20b (high) and Codex – GPT-5.6 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-20b (high) vs. Codex – GPT-5.6 Sol (high)
Metric	Codex – gpt-oss-20b (high)	Codex – GPT-5.6 Sol (high)
Geospatial Agent Index	9*	79* (partial: attempt 1 on 360 of 488 tasks)
Earth-Bench V2 score	6	76
GeoBenchX score	10	72
GS-QA2 score	12	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	11	83
Vector and overlay score	12	87
Climate and time series score	5	87
Spatial statistics and interpolation score	0	50
Mapping and cartography score	4	92
Recognising infeasible requests score	17	65
Cost per task	$0.094	$0.17
Time per task	8.6 min	2.0 min
Tokens per attempt	457k	141k
Turns per attempt	24.2	8.4
Attempts decided	488	350
Input price per 1M tokens	$0.20	$4.00
Output price per 1M tokens	$0.30	$20.00
Context window	128,000	No data
Image input	No	No data
Developer	OpenAI	OpenAI

Charts

Partial coverage. Codex – GPT-5.6 Sol (high): 93 of 117 Earth-Bench V2 tasks; 63 of 150 GeoBenchX tasks; 204 of 221 GS-QA2 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-20b (high)	OpenAI	9*	No pending judgements; coverage incomplete; 27 results awaiting review	3 of 3	488 of 722 scheduled attempts (20 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-20b (high)	OpenAI	$0.094	488 of 722 scheduled attempts (20 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-20b (high)	OpenAI	23k	488 of 722 scheduled attempts (20 excluded)

Frequently asked questions

Which scores higher on the Geospatial Agent Index, Codex – gpt-oss-20b (high) or Codex – GPT-5.6 Sol (high)?

Not comparable yet: Codex – GPT-5.6 Sol (high) has partial coverage (93 of 117 Earth-Bench V2 tasks; 63 of 150 GeoBenchX tasks; 204 of 221 GS-QA2 tasks), so it is not ranked. Codex – gpt-oss-20b (high): 488 of 722 scheduled attempts (20 excluded). Codex – GPT-5.6 Sol (high): 350 of 722 scheduled attempts. Coverage is partial; scores can change as more attempts are decided.

Which is cheaper per task, Codex – gpt-oss-20b (high) or Codex – GPT-5.6 Sol (high)?

Codex – gpt-oss-20b (high), at $0.094 against $0.17 for Codex – GPT-5.6 Sol (high).

Which writes fewer output tokens per task, Codex – gpt-oss-20b (high) or Codex – GPT-5.6 Sol (high)?

Codex – GPT-5.6 Sol (high), at 3k against 23k for Codex – gpt-oss-20b (high).

Which has the larger context window, Codex – gpt-oss-20b (high) or Codex – GPT-5.6 Sol (high)?

Not known yet: Codex – GPT-5.6 Sol (high) has no context window data.

More: Codex – gpt-oss-20b (high) · Codex – GPT-5.6 Sol (high) · all comparisons