Codex – gpt-oss-120b (high) vs. Codex – GPT-6 Luna (high): geospatial agent comparison
Comparison between Codex – gpt-oss-120b (high) and Codex – GPT-6 Luna (high) on the Geospatial Agent Index, each benchmark, cost, time and token use, from the same tasks, agent and limits. Methodology.
Side by side
| Metric | Codex – gpt-oss-120b (high) | Codex – GPT-6 Luna (high) |
|---|---|---|
| Geospatial Agent Index | 43* | 71* (partial: attempt 1 on 444 of 488 tasks) |
| Earth-Bench V2 score | 49 | 66 |
| GeoBenchX score | 55 | 71 |
| GS-QA2 score | 25 | 77 |
| GeoAgentBench score (guided GIS workflow; outside the index) | No data | 96 |
| GeoAnalystBench score (guided GIS workflow; outside the index) | No data | 100 |
| Raster and remote sensing score | 40 | 73 |
| Vector and overlay score | 23 | 77 |
| Climate and time series score | 44 | 69 |
| Spatial statistics and interpolation score | 0 | 33 |
| Mapping and cartography score | 61 | 71 |
| Recognising infeasible requests score | 62 | 78 |
| Cost per task | $0.26 | $0.0039 |
| Time per task | 11.7 min | 1.7 min |
| Tokens per attempt | 700k | 116k |
| Turns per attempt | 29.8 | 7.3 |
| Attempts decided | 488 | 430 |
| Input price per 1M tokens | $0.35 | $0.10 |
| Output price per 1M tokens | $0.75 | $0.50 |
| Context window | 128,000 | No data |
| Image input | No | No data |
| Developer | OpenAI | OpenAI |
Charts
Partial coverage. Codex – GPT-6 Luna (high): 106 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
First eight selected entries in metric order. Full results in table view.
Data table: Geospatial Agent Index
| Model | Creator | Geospatial Agent Index | Range while attempts are pending | Benchmarks covered | Coverage (attempts) |
|---|---|---|---|---|---|
| Codex – gpt-oss-120b (high) | OpenAI | 43* | No pending judgements; coverage incomplete; 58 results awaiting review | 3 of 3 | 488 of 722 scheduled attempts (7 excluded) |
Cost per task
Average cost per task (USD) · Lower is better
First eight selected entries in metric order. Full results in table view.
How to read this chart
Not shown: partial coverage. 1 entries without a first attempt on every index task. What is still running is on the models page.
Data table: Cost per task
| Model | Creator | Cost per task | Coverage (attempts) |
|---|---|---|---|
| Codex – gpt-oss-120b (high) | OpenAI | $0.26 | 488 of 722 scheduled attempts (7 excluded) |
Output tokens per task
Average output tokens per attempt, reasoning included · Lower is better
First eight selected entries in metric order. Full results in table view.
How to read this chart
Not shown: partial coverage. 1 entries without a first attempt on every index task. What is still running is on the models page.
Data table: Output tokens per task
| Model | Creator | Output tokens per task | Coverage (attempts) |
|---|---|---|---|
| Codex – gpt-oss-120b (high) | OpenAI | 27k | 488 of 722 scheduled attempts (7 excluded) |
Frequently asked questions
Which scores higher on the Geospatial Agent Index, Codex – gpt-oss-120b (high) or Codex – GPT-6 Luna (high)?
Which is cheaper per task, Codex – gpt-oss-120b (high) or Codex – GPT-6 Luna (high)?
Which writes fewer output tokens per task, Codex – gpt-oss-120b (high) or Codex – GPT-6 Luna (high)?
Which has the larger context window, Codex – gpt-oss-120b (high) or Codex – GPT-6 Luna (high)?
More: Codex – gpt-oss-120b (high) · Codex – GPT-6 Luna (high) · all comparisons