Axis Spatial

GLM-5.3-Flash (max), Claude Code vs. DeepSeek V4.1 Flash (max), Codex

GLM-5.3-Flash (max), Claude Code against DeepSeek V4.1 Flash (max), Codex: Geospatial Agent Index, each evaluation, cost, time and tokens, on the same tasks and limits. The harnesses differ, so part of any gap can come from the harness. Methodology.

Side by side

GLM-5.3-Flash (max), Claude Code vs. DeepSeek V4.1 Flash (max), Codex
MetricGLM-5.3-Flash (max), Claude CodeDeepSeek V4.1 Flash (max), Codex
Geospatial Agent Index: Text only7271
Geospatial Agent Index: Text + vision7373
Earth-Bench V2 score6966
GeoBenchX score7056
GS-QA2 score7689
Vision agents score7880
GeoAgentBench score (Guided workflows; not in the Agent Index)9890
GeoAnalystBench score (Guided workflows; not in the Agent Index)10088
OGD4All score (standalone; in no index)No dataNo data
GeoNatureAgent score (standalone; in no index)No dataNo data
MultiGlobeQA score (standalone; in no index)No dataNo data
GeoAgentEval score (standalone; in no index)No dataNo data
Remote sensing and raster analysis score7483
GIS analysis score7990
Climate and time series score6758
Spatial statistics score7846
Making maps score7472
Recognising infeasible requests score6541
Cost per task$0.093$0.067
Time per task (at 100 output tokens/s)6.5 min (estimated)8.6 min
Tokens per attempt962k1.17M
Turns per attempt18.923.4
Input price per 1M tokens$0.15$0.30
Output price per 1M tokens$0.50$1.20
Context window1,048,5761,048,576
Image inputYesYes
DeveloperZ.aiOther

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: GLM-5.3-Flash (max), Claude Code: 72; DeepSeek V4.1 Flash (max), Codex: 71025507510072GLM-5.3-Flash (max)71DeepSeek V4.1 Flash (max)
Data table: Geospatial Agent Index
Geospatial Agent Index
ModelDeveloperGeospatial Agent Index
GLM-5.3-Flash (max), Claude CodeZ.ai72
DeepSeek V4.1 Flash (max), CodexOther71

Cost per task

Average cost per task (USD) · Lower is better

Cost per taskCost per task in US dollars: DeepSeek V4.1 Flash (max), Codex: $0.067; GLM-5.3-Flash (max), Claude Code: $0.093$0$0.025$0.05$0.075$0.10$0.067DeepSeek V4.1 Flash (max)$0.093GLM-5.3-Flash (max)
Data table: Cost per task
Cost per task
ModelDeveloperCost per task
DeepSeek V4.1 Flash (max), CodexOther$0.067
GLM-5.3-Flash (max), Claude CodeZ.ai$0.093

Output tokens per task

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

Output tokens per taskOutput tokens per task: GLM-5.3-Flash (max), Claude Code: 29k; DeepSeek V4.1 Flash (max), Codex: 38k010k20k30k40k29kGLM-5.3-Flash (max)38kDeepSeek V4.1 Flash (max)
Data table: Output tokens per task
Output tokens per task
ModelDeveloperOutput tokens per task
GLM-5.3-Flash (max), Claude CodeZ.ai29k
DeepSeek V4.1 Flash (max), CodexOther38k

Frequently asked questions

Which scores higher on the Geospatial Agent Index, GLM-5.3-Flash (max), Claude Code or DeepSeek V4.1 Flash (max), Codex?
GLM-5.3-Flash (max), Claude Code, 72 to 71.
Which is cheaper per task, GLM-5.3-Flash (max), Claude Code or DeepSeek V4.1 Flash (max), Codex?
DeepSeek V4.1 Flash (max), Codex, $0.067 to $0.093.
Which writes fewer output tokens per task, GLM-5.3-Flash (max), Claude Code or DeepSeek V4.1 Flash (max), Codex?
GLM-5.3-Flash (max), Claude Code, 29k to 38k.
Which has the larger context window, GLM-5.3-Flash (max), Claude Code or DeepSeek V4.1 Flash (max), Codex?
They are level, at 1,048,576 tokens.

More: GLM-5.3-Flash (max), Claude Code · DeepSeek V4.1 Flash (max), Codex · All comparisons