Terminus-2 – gpt-oss-120b (low) vs. Claude Code – Claude Opus 4.7 (high): geospatial agent comparison

Comparison between Terminus-2 – gpt-oss-120b (low) and Claude Code – Claude Opus 4.7 (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. Claude Code – Claude Opus 4.7 (high)
Metric	Terminus-2 – gpt-oss-120b (low)	Claude Code – Claude Opus 4.7 (high)
Geospatial Agent Index	25*	53* (partial: attempt 1 on 109 of 320 tasks)
Earth-Bench V2 score	20	51
GeoBenchX score	31	55
GeoAgentBench score (guided GIS workflow; outside the index)	54	100
GeoAnalystBench score (guided GIS workflow; outside the index)	47	100
Raster and remote sensing score	16	56
Vector and overlay score	50	0
Networks and routing score	No data	No data
Climate and time series score	24	55
Spatial statistics and interpolation score	0	33
Mapping and cartography score	19	79
Recognising infeasible requests score	47	38
Cost per task	$0.0061	$0.521
Time per task	0.9 min	2.0 min
Tokens per attempt	15k	330k
Turns per attempt	3.1	8.8
Attempts decided	320	109
Input price per 1M tokens	$0.35	$5.00
Output price per 1M tokens	$0.75	$25.00
Context window	128,000	No data
Image input	No	No data
Developer	OpenAI	Anthropic

Charts

Partial coverage. Claude Code – Claude Opus 4.7 (high): 49 of 147 Earth-Bench V2 tasks; 60 of 173 GeoBenchX tasks. Grey placeholders identify these entries in the index, cost and time 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)
Terminus-2 – gpt-oss-120b (low)	OpenAI	25*	No pending judgements; coverage incomplete	2 of 2	320 of 614 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. Claude Code – Claude Opus 4.7 (high).

Data table: Cost per task

Cost per task
Model	Creator	Cost per task	Coverage (attempts)
Terminus-2 – gpt-oss-120b (low)	OpenAI	$0.0061	320 of 614 planned attempts

Time per task

Average agent wall time per task · Lower is better

Planned attempts still to come

How to read this chart

Not shown: partial coverage. Claude Code – Claude Opus 4.7 (high).

Data table: Time per task

Time per task
Model	Creator	Time per task	Coverage (attempts)
Terminus-2 – gpt-oss-120b (low)	OpenAI	0.9 min	320 of 614 planned attempts

Frequently asked questions

Which scores higher on the Geospatial Agent Index, Terminus-2 – gpt-oss-120b (low) or Claude Code – Claude Opus 4.7 (high)?

Not comparable yet: Claude Code – Claude Opus 4.7 (high) has partial coverage (49 of 147 Earth-Bench V2 tasks; 60 of 173 GeoBenchX tasks), so it is not ranked. Terminus-2 – gpt-oss-120b (low): 320 of 614 planned attempts. Claude Code – Claude Opus 4.7 (high): 109 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 Claude Code – Claude Opus 4.7 (high)?

Terminus-2 – gpt-oss-120b (low), at $0.0061 against $0.521 for Claude Code – Claude Opus 4.7 (high).

Which is faster per task, Terminus-2 – gpt-oss-120b (low) or Claude Code – Claude Opus 4.7 (high)?

Terminus-2 – gpt-oss-120b (low), at 0.9 min against 2.0 min for Claude Code – Claude Opus 4.7 (high).

Which has the larger context window, Terminus-2 – gpt-oss-120b (low) or Claude Code – Claude Opus 4.7 (high)?

Not known yet: Claude Code – Claude Opus 4.7 (high) has no context window data.

More: Terminus-2 – gpt-oss-120b (low) · Claude Code – Claude Opus 4.7 (high) · all comparisons