Axis Spatial

GLM-4.7-Flash (Reasoning), Claude Code vs. Claude Opus 5.5 (low), Claude Code

GLM-4.7-Flash (Reasoning), Claude Code against Claude Opus 5.5 (low), Claude Code: Geospatial Agent Index, each evaluation, cost, time and tokens, on the same tasks and limits. Methodology.

Side by side

GLM-4.7-Flash (Reasoning), Claude Code vs. Claude Opus 5.5 (low), Claude Code
MetricGLM-4.7-Flash (Reasoning), Claude CodeClaude Opus 5.5 (low), Claude Code
Geospatial Agent Index: Text only4174
Geospatial Agent Index: Text + visionNo image input78
Earth-Bench V2 score3859
GeoBenchX score3977
GS-QA2 score4886
Vision agents scoreNo image input89
GeoAgentBench score (Guided workflows; not in the Agent Index)3096
GeoAnalystBench score (Guided workflows; not in the Agent Index)26100
OGD4All score (standalone; in no index)No data95
GeoNatureAgent score (standalone; in no index)No data100
MultiGlobeQA score (standalone; in no index)No data79
GeoAgentEval score (standalone; in no index)No data100
Remote sensing and raster analysis score4179
GIS analysis score4984
Climate and time series score3959
Spatial statistics score2377
Making maps score4977
Recognising infeasible requests score4077
Cost per task$0.27$0.081
Time per task (at 100 output tokens/s)3.8 min0.4 min
Tokens per attempt1.34M63k
Turns per attempt37.83.5
Input price per 1M tokens$0.060$4.00
Output price per 1M tokens$0.40$20.00
Context window131,0721,000,000
Image inputNoYes
DeveloperZ.aiAnthropic

Charts

Geospatial Agent Index

Equal average of Earth-Bench V2, GeoBenchX and GS-QA2, 0 to 100 · Higher is better

Geospatial Agent IndexScores 0 to 100: Claude Opus 5.5 (low), Claude Code: 74; GLM-4.7-Flash (Reasoning), Claude Code: 41025507510074Claude Opus 5.5 (low)41GLM-4.7-Flash (Reasoning)
Data table: Geospatial Agent Index
Geospatial Agent Index
ModelDeveloperGeospatial Agent Index
Claude Opus 5.5 (low), Claude CodeAnthropic74
GLM-4.7-Flash (Reasoning), Claude CodeZ.ai41

Cost per task

Average cost per task (USD) · Lower is better

Cost per taskCost per task in US dollars: Claude Opus 5.5 (low), Claude Code: $0.081; GLM-4.7-Flash (Reasoning), Claude Code: $0.27$0$0.10$0.20$0.30$0.40$0.081Claude Opus 5.5 (low)$0.27GLM-4.7-Flash (Reasoning)
Data table: Cost per task
Cost per task
ModelDeveloperCost per task
Claude Opus 5.5 (low), Claude CodeAnthropic$0.081
GLM-4.7-Flash (Reasoning), Claude CodeZ.ai$0.27

Output tokens per task

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

Output tokens per taskOutput tokens per task: Claude Opus 5.5 (low), Claude Code: 1k; GLM-4.7-Flash (Reasoning), Claude Code: 15k05k10k15k20k1kClaude Opus 5.5 (low)15kGLM-4.7-Flash (Reasoning)
Data table: Output tokens per task
Output tokens per task
ModelDeveloperOutput tokens per task
Claude Opus 5.5 (low), Claude CodeAnthropic1k
GLM-4.7-Flash (Reasoning), Claude CodeZ.ai15k

Frequently asked questions

Which scores higher on the Geospatial Agent Index, GLM-4.7-Flash (Reasoning), Claude Code or Claude Opus 5.5 (low), Claude Code?
Claude Opus 5.5 (low), Claude Code, 74 to 41.
Which is cheaper per task, GLM-4.7-Flash (Reasoning), Claude Code or Claude Opus 5.5 (low), Claude Code?
Claude Opus 5.5 (low), Claude Code, $0.081 to $0.27.
Which writes fewer output tokens per task, GLM-4.7-Flash (Reasoning), Claude Code or Claude Opus 5.5 (low), Claude Code?
Claude Opus 5.5 (low), Claude Code, 1k to 15k.
Which has the larger context window, GLM-4.7-Flash (Reasoning), Claude Code or Claude Opus 5.5 (low), Claude Code?
Claude Opus 5.5 (low), Claude Code, 1,000,000 tokens to 131,072 tokens.

More: GLM-4.7-Flash (Reasoning), Claude Code · Claude Opus 5.5 (low), Claude Code · All comparisons