Terminus-2 – Kimi K2.7 Code (always on) vs. Codex – GPT-6 Luna (medium): geospatial agent comparison

Comparison between Terminus-2 – Kimi K2.7 Code (always on) and Codex – GPT-6 Luna (medium) 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 – Kimi K2.7 Code (always on) vs. Codex – GPT-6 Luna (medium)
Metric	Terminus-2 – Kimi K2.7 Code (always on)	Codex – GPT-6 Luna (medium)
Geospatial Agent Index	71* (partial: attempt 1 on 483 of 488 tasks)	57* (partial: attempt 1 on 460 of 488 tasks)
Earth-Bench V2 score	69	50
GeoBenchX score	62	56
GS-QA2 score	82	65
GeoAgentBench score (guided GIS workflow; outside the index)	92	94
GeoAnalystBench score (guided GIS workflow; outside the index)	89	89
Raster and remote sensing score	76	63
Vector and overlay score	81	65
Climate and time series score	75	47
Spatial statistics and interpolation score	38	22
Mapping and cartography score	74	76
Recognising infeasible requests score	57	38
Cost per task	$0.11	$0.0026
Time per task	6.4 min	1.3 min
Tokens per attempt	272k	86k
Turns per attempt	14.1	6.4
Attempts decided	483	460
Input price per 1M tokens	$0.95	$0.10
Output price per 1M tokens	$4.00	$0.50
Context window	262,144	No data
Image input	Yes	No data
Developer	Moonshot AI	OpenAI

Charts

Partial coverage. Terminus-2 – Kimi K2.7 Code (always on): 216 of 221 GS-QA2 tasks; Codex – GPT-6 Luna (medium): 122 of 150 GeoBenchX tasks. 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

Data table: Geospatial Agent Index

Geospatial Agent Index
Model	Creator	Geospatial Agent Index	Range while attempts are pending	Benchmarks covered	Coverage (attempts)

Cost per task

Average cost per task (USD) · Lower is better

How to read this chart

Not shown: partial coverage. 2 entries without a first attempt on every index task. What is still running is on the models page.

Data table: Cost per task

Cost per task
Model	Creator	Cost per task	Coverage (attempts)

Output tokens per task

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

How to read this chart

Not shown: partial coverage. 2 entries without a first attempt on every index task. What is still running is on the models page.

Data table: Output tokens per task

Output tokens per task
Model	Creator	Output tokens per task	Coverage (attempts)

Frequently asked questions

Which scores higher on the Geospatial Agent Index, Terminus-2 – Kimi K2.7 Code (always on) or Codex – GPT-6 Luna (medium)?

Not comparable yet: Terminus-2 – Kimi K2.7 Code (always on) has partial coverage (216 of 221 GS-QA2 tasks) and Codex – GPT-6 Luna (medium) has partial coverage (122 of 150 GeoBenchX tasks), so it is not ranked. Terminus-2 – Kimi K2.7 Code (always on): 483 of 722 scheduled attempts. Codex – GPT-6 Luna (medium): 460 of 722 scheduled attempts. Coverage is partial; scores can change as more attempts are decided.

Which is cheaper per task, Terminus-2 – Kimi K2.7 Code (always on) or Codex – GPT-6 Luna (medium)?

Codex – GPT-6 Luna (medium), at $0.0026 against $0.11 for Terminus-2 – Kimi K2.7 Code (always on).

Which writes fewer output tokens per task, Terminus-2 – Kimi K2.7 Code (always on) or Codex – GPT-6 Luna (medium)?

Codex – GPT-6 Luna (medium), at 1k against 12k for Terminus-2 – Kimi K2.7 Code (always on).

Which has the larger context window, Terminus-2 – Kimi K2.7 Code (always on) or Codex – GPT-6 Luna (medium)?

Not known yet: Codex – GPT-6 Luna (medium) has no context window data.

More: Terminus-2 – Kimi K2.7 Code (always on) · Codex – GPT-6 Luna (medium) · all comparisons