Axis Spatial

Terminus-2 – GLM-4.7-Flash (thinking on) vs. Claude Code – Claude Opus 5.5 (xhigh): geospatial agent comparison

Comparison between Terminus-2 – GLM-4.7-Flash (thinking on) and Claude Code – Claude Opus 5.5 (xhigh) 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-4.7-Flash (thinking on) vs. Claude Code – Claude Opus 5.5 (xhigh)
MetricTerminus-2 – GLM-4.7-Flash (thinking on)Claude Code – Claude Opus 5.5 (xhigh)
Geospatial Agent Index4082 (partial: 1 of 3 attempts)
GeoAgentBench score4398
GeoBenchX score3969
Earth-Bench score3562
GeoAnalystBench score42100
Raster and remote sensing score3683
Vector and overlay score4689
Networks and routing score33100
Climate and time series score4475
Spatial statistics and interpolation score2971
Mapping and cartography score5077
Recognising infeasible requests score3362
Cost per task$0.030$0.375
Time per task9.2 min2.1 min
Tokens per attempt419k266k
Turns per attempt17.98.7
Attempts decided870290
Input price per 1M tokens$0.06$4.00
Output price per 1M tokens$0.40$20.00
Context window131,072No data
Image inputNoNo data
DeveloperZ.aiAnthropic

Charts

Geospatial Agent Index

Equal-weight average of the evaluation scores, 0 to 100 · Higher is better

Geospatial Agent IndexClaude Code – Claude Opus 5.5 (xhigh): 82; Terminus-2 – GLM-4.7-Flash (thinking on): 40025507510082Claude Opus 5.5 (xhigh)40GLM-4.7-Flash (thinking on)
Data table: Geospatial Agent Index
Geospatial Agent Index
ModelCreatorGeospatial Agent IndexRange while attempts are pendingBenchmarks coveredCoverage (attempts)
Claude Code – Claude Opus 5.5 (xhigh)Anthropic82 (partial: 1 of 3 attempts)No pending judgements4 of 4290 of 290 planned attempts
Terminus-2 – GLM-4.7-Flash (thinking on)Z.ai40No pending judgements4 of 4870 of 870 planned attempts

Cost per task

Average cost per task (USD) · Lower is better

Cost per taskTerminus-2 – GLM-4.7-Flash (thinking on): $0.030; Claude Code – Claude Opus 5.5 (xhigh): $0.375$0$0.100$0.200$0.300$0.400$0.030GLM-4.7-Flash (thinking on)$0.375Claude Opus 5.5 (xhigh)
Data table: Cost per task
Cost per task
ModelCreatorCost per taskCoverage (attempts)
Terminus-2 – GLM-4.7-Flash (thinking on)Z.ai$0.030870 of 870 planned attempts
Claude Code – Claude Opus 5.5 (xhigh)Anthropic$0.375290 of 290 planned attempts

Time per task

Average agent wall time per task · Lower is better

Time per taskClaude Code – Claude Opus 5.5 (xhigh): 2.1 min; Terminus-2 – GLM-4.7-Flash (thinking on): 9.2 min0m2m5m8m10m2.1 minClaude Opus 5.5 (xhigh)9.2 minGLM-4.7-Flash (thinking on)
Data table: Time per task
Time per task
ModelCreatorTime per taskCoverage (attempts)
Terminus-2 – GLM-4.7-Flash (thinking on)Z.ai9.2 min870 of 870 planned attempts
Claude Code – Claude Opus 5.5 (xhigh)Anthropic2.1 min290 of 290 planned attempts

Frequently asked questions

Which scores higher on the Geospatial Agent Index, Terminus-2 – GLM-4.7-Flash (thinking on) or Claude Code – Claude Opus 5.5 (xhigh)?
Claude Code – Claude Opus 5.5 (xhigh), at 82 against 40 for Terminus-2 – GLM-4.7-Flash (thinking on). Terminus-2 – GLM-4.7-Flash (thinking on): 870 of 870 planned attempts. Claude Code – Claude Opus 5.5 (xhigh): 290 of 290 planned attempts.
Which is cheaper per task, Terminus-2 – GLM-4.7-Flash (thinking on) or Claude Code – Claude Opus 5.5 (xhigh)?
Terminus-2 – GLM-4.7-Flash (thinking on), at $0.030 against $0.375 for Claude Code – Claude Opus 5.5 (xhigh).
Which is faster per task, Terminus-2 – GLM-4.7-Flash (thinking on) or Claude Code – Claude Opus 5.5 (xhigh)?
Claude Code – Claude Opus 5.5 (xhigh), at 2.1 min against 9.2 min for Terminus-2 – GLM-4.7-Flash (thinking on).
Which has the larger context window, Terminus-2 – GLM-4.7-Flash (thinking on) or Claude Code – Claude Opus 5.5 (xhigh)?
Not known yet: Claude Code – Claude Opus 5.5 (xhigh) has no context window data.

More: Terminus-2 – GLM-4.7-Flash (thinking on) · Claude Code – Claude Opus 5.5 (xhigh) · all comparisons