GLM-5.2 (max), Terminus-2 vs. GPT-5.6 Sol (medium), Codex

GLM-5.2 (max), Terminus-2 against GPT-5.6 Sol (medium), 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-5.2 (max), Terminus-2 vs. GPT-5.6 Sol (medium), Codex
Metric	GLM-5.2 (max), Terminus-2	GPT-5.6 Sol (medium), Codex
Geospatial Agent Index: Text only	72	100, not every task attempted yet (19 of 488 tasks attempted)
Geospatial Agent Index: Text + vision	No image input	Still to run: Earth-Bench V2, GeoBenchX, GS-QA2, Vision agents
Earth-Bench V2 score	68	No data
GeoBenchX score	67	No data
GS-QA2 score	80	100
Vision agents score	No image input	No data
GeoAgentBench score (Guided workflows; not in the Agent Index)	94	No data
GeoAnalystBench score (Guided workflows; not in the Agent Index)	95	No data
Raster and remote sensing score	76	100
Vector and overlay score	82	No data
Climate and time series score	71	No data
Spatial statistics and interpolation score	62	No data
Mapping and cartography score	82	No data
Recognising infeasible requests score	48	No data
Cost per task	$0.32	$0.060
Time per task (at 100 output tokens/s)	6.1 min	0.2 min
Tokens per attempt	416k	66k
Turns per attempt	13.6	6.1
Attempts scored	488	19
Input price per 1M tokens	$1.40	$4.00
Output price per 1M tokens	$4.40	$20.00
Developer	Z.ai	OpenAI

* Not every task attempted yet: the score may still change. What the asterisk means.

Charts

Not yet ranked. GPT-5.6 Sol (medium), Codex: Earth-Bench V2 not started; GeoBenchX not started; 19 of 221 GS-QA2 tasks attempted. Grey placeholders mark these entries in the index, cost and output token charts; their height is not a value. Bars appear once every task has an attempt. Results so far are in the side-by-side table.

Geospatial Agent Index

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

Data table: Geospatial Agent Index

Geospatial Agent Index
Model	Developer	Geospatial Agent Index	Status	Evaluations scored	Tasks attempted
GLM-5.2 (max), Terminus-2	Z.ai	72	Complete	3 of 3	488 of 488 tasks

Cost per task

Average cost per task (USD) · Lower is better

How to read this chart

Not shown: not yet ranked. 1 entries without an attempt on every index task. What is still to run is on the models page.

Data table: Cost per task

Cost per task
Model	Developer	Cost per task	Tasks attempted
GLM-5.2 (max), Terminus-2	Z.ai	$0.32	488 of 488 tasks

Output tokens per task

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

How to read this chart

Not shown: not yet ranked. 1 entries without an attempt on every index task. What is still to run is on the models page.

Data table: Output tokens per task

Output tokens per task
Model	Developer	Output tokens per task	Tasks attempted
GLM-5.2 (max), Terminus-2	Z.ai	30k	488 of 488 tasks

Frequently asked questions

Which scores higher on the Geospatial Agent Index, GLM-5.2 (max), Terminus-2 or GPT-5.6 Sol (medium), Codex?

Not comparable yet: GPT-5.6 Sol (medium), Codex is not yet ranked (Earth-Bench V2 not started; GeoBenchX not started; 19 of 221 GS-QA2 tasks attempted). GLM-5.2 (max), Terminus-2: 488 of 488 tasks attempted. GPT-5.6 Sol (medium), Codex: 19 of 488 tasks attempted. Scores can change as more tasks are attempted.

Which is cheaper per task, GLM-5.2 (max), Terminus-2 or GPT-5.6 Sol (medium), Codex?

GPT-5.6 Sol (medium), Codex, $0.060 to $0.32.

Which writes fewer output tokens per task, GLM-5.2 (max), Terminus-2 or GPT-5.6 Sol (medium), Codex?

GPT-5.6 Sol (medium), Codex, 678 to 30k.

More: GLM-5.2 (max), Terminus-2 · GPT-5.6 Sol (medium), Codex · All comparisons