Codex – DeepSeek V4 Pro (high) vs. Codex – GPT-6.1 Sol (xhigh): geospatial agent comparison

Comparison between Codex – DeepSeek V4 Pro (high) 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

Codex – DeepSeek V4 Pro (high) vs. Codex – GPT-6.1 Sol (xhigh)
Metric	Codex – DeepSeek V4 Pro (high)	Codex – GPT-6.1 Sol (xhigh)
Geospatial Agent Index	40* (partial: attempt 1 on 48 of 565 tasks)	72*
Earth-Bench V2 score	50	61
GeoBenchX score	29	69
GS-QA2 score	No data	86
GeoAgentBench score (guided GIS workflow; outside the index)	No data	100
GeoAnalystBench score (guided GIS workflow; outside the index)	No data	95
Raster and remote sensing score	55	75
Vector and overlay score	No data	82
Networks and routing score	No data	No data
Climate and time series score	0	69
Spatial statistics and interpolation score	0	36
Mapping and cartography score	No data	81
Recognising infeasible requests score	26	67
Cost per task	$0.745	$0.091
Time per task	12.8 min	2.2 min
Tokens per attempt	852k	154k
Turns per attempt	24.6	7.7
Attempts decided	32	565
Input price per 1M tokens	$1.32	$2.00
Output price per 1M tokens	$3.96	$10.00
Context window	1,048,576	No data
Image input	No	No data
Developer	DeepSeek	OpenAI

Charts

Partial coverage. Codex – DeepSeek V4 Pro (high): 8 of 147 Earth-Bench V2 tasks; 40 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

Data table: Geospatial Agent Index

Geospatial Agent Index
Model	Creator	Geospatial Agent Index	Range while attempts are pending	Benchmarks covered	Coverage (attempts)
Codex – GPT-6.1 Sol (xhigh)	OpenAI	72*	No pending judgements; coverage incomplete; 211 results awaiting review	3 of 3	565 of 859 planned attempts

Cost per task

Average cost per task (USD) · Lower is better

Planned attempts still to come

How to read this chart

Not shown: partial coverage. Codex – DeepSeek V4 Pro (high).

Data table: Cost per task

Cost per task
Model	Creator	Cost per task	Coverage (attempts)
Codex – GPT-6.1 Sol (xhigh)	OpenAI	$0.091	565 of 859 planned attempts

Output tokens per task

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

Planned attempts still to come

How to read this chart

Not shown: partial coverage. Codex – DeepSeek V4 Pro (high).

Data table: Output tokens per task

Output tokens per task
Model	Creator	Output tokens per task	Coverage (attempts)
Codex – GPT-6.1 Sol (xhigh)	OpenAI	4k	565 of 859 planned attempts

Frequently asked questions

Which scores higher on the Geospatial Agent Index, Codex – DeepSeek V4 Pro (high) or Codex – GPT-6.1 Sol (xhigh)?

Not comparable yet: Codex – DeepSeek V4 Pro (high) has partial coverage (8 of 147 Earth-Bench V2 tasks; 40 of 173 GeoBenchX tasks; GS-QA2 incomplete), so it is not ranked. Codex – DeepSeek V4 Pro (high): 32 of 614 planned attempts. Codex – GPT-6.1 Sol (xhigh): 565 of 859 planned attempts. Coverage is partial; scores can change as more attempts are decided.

Which is cheaper per task, Codex – DeepSeek V4 Pro (high) or Codex – GPT-6.1 Sol (xhigh)?

Codex – GPT-6.1 Sol (xhigh), at $0.091 against $0.745 for Codex – DeepSeek V4 Pro (high).

Which writes fewer output tokens per task, Codex – DeepSeek V4 Pro (high) or Codex – GPT-6.1 Sol (xhigh)?

Codex – GPT-6.1 Sol (xhigh), at 4k against 19k for Codex – DeepSeek V4 Pro (high).

Which has the larger context window, Codex – DeepSeek V4 Pro (high) or Codex – GPT-6.1 Sol (xhigh)?

Not known yet: Codex – GPT-6.1 Sol (xhigh) has no context window data.

More: Codex – DeepSeek V4 Pro (high) · Codex – GPT-6.1 Sol (xhigh) · all comparisons