Terminus-2 – GLM-5.2 (none) vs. Claude Code – GLM-5.3-Flash (max): geospatial agent comparison

Comparison between Terminus-2 – GLM-5.2 (none) and Claude Code – GLM-5.3-Flash (max) 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 – GLM-5.2 (none) vs. Claude Code – GLM-5.3-Flash (max)
Metric	Terminus-2 – GLM-5.2 (none)	Claude Code – GLM-5.3-Flash (max)
Geospatial Agent Index	55*	41* (partial: attempt 1 on 135 of 565 tasks)
Earth-Bench V2 score	48	43
GeoBenchX score	51	38
GS-QA2 score	66	No data
GeoAgentBench score (guided GIS workflow; outside the index)	92	No data
GeoAnalystBench score (guided GIS workflow; outside the index)	74	No data
Raster and remote sensing score	64	44
Vector and overlay score	57	50
Networks and routing score	No data	No data
Climate and time series score	50	67
Spatial statistics and interpolation score	29	0
Mapping and cartography score	76	0
Recognising infeasible requests score	34	44
Cost per task	$0.112	$0.139
Time per task	2.9 min	18.3 min
Tokens per attempt	210k	1.26M
Turns per attempt	13.3	25.9
Attempts decided	565	89
Input price per 1M tokens	$1.40	$0.15
Output price per 1M tokens	$4.40	$0.50
Context window	262,144	1,048,576
Image input	No	Yes
Developer	Z.ai	Z.ai

Charts

Partial coverage. Claude Code – GLM-5.3-Flash (max): 21 of 147 Earth-Bench V2 tasks; 114 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)
Terminus-2 – GLM-5.2 (none)	Z.ai	55*	No pending judgements; coverage incomplete; 161 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. Claude Code – GLM-5.3-Flash (max).

Data table: Cost per task

Cost per task
Model	Creator	Cost per task	Coverage (attempts)
Terminus-2 – GLM-5.2 (none)	Z.ai	$0.112	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. Claude Code – GLM-5.3-Flash (max).

Data table: Output tokens per task

Output tokens per task
Model	Creator	Output tokens per task	Coverage (attempts)
Terminus-2 – GLM-5.2 (none)	Z.ai	6k	565 of 859 planned attempts

Frequently asked questions

Which scores higher on the Geospatial Agent Index, Terminus-2 – GLM-5.2 (none) or Claude Code – GLM-5.3-Flash (max)?

Not comparable yet: Claude Code – GLM-5.3-Flash (max) has partial coverage (21 of 147 Earth-Bench V2 tasks; 114 of 173 GeoBenchX tasks; GS-QA2 incomplete), so it is not ranked. Terminus-2 – GLM-5.2 (none): 565 of 859 planned attempts. Claude Code – GLM-5.3-Flash (max): 89 of 614 planned attempts (3 excluded). Coverage is partial; scores can change as more attempts are decided.

Which is cheaper per task, Terminus-2 – GLM-5.2 (none) or Claude Code – GLM-5.3-Flash (max)?

Terminus-2 – GLM-5.2 (none), at $0.112 against $0.139 for Claude Code – GLM-5.3-Flash (max).

Which writes fewer output tokens per task, Terminus-2 – GLM-5.2 (none) or Claude Code – GLM-5.3-Flash (max)?

Terminus-2 – GLM-5.2 (none), at 6k against 30k for Claude Code – GLM-5.3-Flash (max).

Which has the larger context window, Terminus-2 – GLM-5.2 (none) or Claude Code – GLM-5.3-Flash (max)?

Claude Code – GLM-5.3-Flash (max), at 1,048,576 tokens against 262,144 tokens for Terminus-2 – GLM-5.2 (none).

More: Terminus-2 – GLM-5.2 (none) · Claude Code – GLM-5.3-Flash (max) · all comparisons