Axis Spatial

Terminus-2 – gpt-oss-120b (high) vs. Claude Code – GLM-5.2 (max): geospatial agent comparison

Comparison between Terminus-2 – gpt-oss-120b (high) and Claude Code – GLM-5.2 (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 – gpt-oss-120b (high) vs. Claude Code – GLM-5.2 (max)
MetricTerminus-2 – gpt-oss-120b (high)Claude Code – GLM-5.2 (max)
Geospatial Agent Index39*53* (partial: attempt 1 on 200 of 565 tasks)
Earth-Bench V2 score4363
GeoBenchX score3942
GS-QA2 score37No data
GeoAgentBench score (guided GIS workflow; outside the index)70No data
GeoAnalystBench score (guided GIS workflow; outside the index)53No data
Raster and remote sensing score3962
Vector and overlay score3540
Networks and routing scoreNo dataNo data
Climate and time series score4667
Spatial statistics and interpolation score14No data
Mapping and cartography score39No data
Recognising infeasible requests score4441
Cost per task$0.032$0.437
Time per task5.6 min7.1 min
Tokens per attempt72k827k
Turns per attempt6.318.7
Attempts decided565120
Input price per 1M tokens$0.35$1.40
Output price per 1M tokens$0.75$4.40
Context window128,000262,144
Image inputNoNo
DeveloperOpenAIZ.ai

Charts

Partial coverage. Claude Code – GLM-5.2 (max): 35 of 147 Earth-Bench V2 tasks; 165 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
Geospatial Agent IndexTerminus-2 – gpt-oss-120b (high): 39* (partial coverage); Claude Code – GLM-5.2 (max): Partial025507510039*gpt-oss-120b (high)PartialGLM-5.2 (max)
Data table: Geospatial Agent Index
Geospatial Agent Index
ModelCreatorGeospatial Agent IndexRange while attempts are pendingBenchmarks coveredCoverage (attempts)
Terminus-2 – gpt-oss-120b (high)OpenAI39*No pending judgements; coverage incomplete; 90 results awaiting review; 2 trace reviews declined by the judge3 of 3565 of 859 planned attempts

Cost per task

Average cost per task (USD) · Lower is better

  • Planned attempts still to come
Cost per taskTerminus-2 – gpt-oss-120b (high): $0.032 (partial coverage); Claude Code – GLM-5.2 (max): Partial$0$0.010$0.020$0.030$0.040$0.032gpt-oss-120b (high)PartialGLM-5.2 (max)
How to read this chart

Not shown: partial coverage. Claude Code – GLM-5.2 (max).

Data table: Cost per task
Cost per task
ModelCreatorCost per taskCoverage (attempts)
Terminus-2 – gpt-oss-120b (high)OpenAI$0.032565 of 859 planned attempts

Output tokens per task

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

  • Planned attempts still to come
Output tokens per taskTerminus-2 – gpt-oss-120b (high): 17k (partial coverage); Claude Code – GLM-5.2 (max): Partial05k10k15k20k17kgpt-oss-120b (high)PartialGLM-5.2 (max)
How to read this chart

Not shown: partial coverage. Claude Code – GLM-5.2 (max).

Data table: Output tokens per task
Output tokens per task
ModelCreatorOutput tokens per taskCoverage (attempts)
Terminus-2 – gpt-oss-120b (high)OpenAI17k565 of 859 planned attempts

Frequently asked questions

Which scores higher on the Geospatial Agent Index, Terminus-2 – gpt-oss-120b (high) or Claude Code – GLM-5.2 (max)?
Not comparable yet: Claude Code – GLM-5.2 (max) has partial coverage (35 of 147 Earth-Bench V2 tasks; 165 of 173 GeoBenchX tasks; GS-QA2 incomplete), so it is not ranked. Terminus-2 – gpt-oss-120b (high): 565 of 859 planned attempts. Claude Code – GLM-5.2 (max): 120 of 614 planned attempts (9 excluded). Coverage is partial; scores can change as more attempts are decided.
Which is cheaper per task, Terminus-2 – gpt-oss-120b (high) or Claude Code – GLM-5.2 (max)?
Terminus-2 – gpt-oss-120b (high), at $0.032 against $0.437 for Claude Code – GLM-5.2 (max).
Which writes fewer output tokens per task, Terminus-2 – gpt-oss-120b (high) or Claude Code – GLM-5.2 (max)?
Terminus-2 – gpt-oss-120b (high), at 17k against 34k for Claude Code – GLM-5.2 (max).
Which has the larger context window, Terminus-2 – gpt-oss-120b (high) or Claude Code – GLM-5.2 (max)?
Claude Code – GLM-5.2 (max), at 262,144 tokens against 128,000 tokens for Terminus-2 – gpt-oss-120b (high).

More: Terminus-2 – gpt-oss-120b (high) · Claude Code – GLM-5.2 (max) · all comparisons