Terminus-2 – Gemini 3.1 Pro (preview) (high) vs. Codex – GPT-6 Luna (xhigh): geospatial agent comparison
Comparison between Terminus-2 – Gemini 3.1 Pro (preview) (high) and Codex – GPT-6 Luna (xhigh) on the Geospatial Agent Index, each benchmark, cost, time and token use, from the same tasks, agent and limits. Methodology.
Side by side
| Metric | Terminus-2 – Gemini 3.1 Pro (preview) (high) | Codex – GPT-6 Luna (xhigh) |
|---|---|---|
| Geospatial Agent Index | 75 (attempts per task: 3) | 77* (attempts per task: 2.4) |
| GeoAgentBench score | 94 | 99 |
| GeoBenchX score | 65 | 61 |
| Earth-Bench score | 54 | 54 |
| GeoAnalystBench score | 86 | 95 |
| Raster and remote sensing score | 67 | 75 |
| Vector and overlay score | 78 | 78 |
| Networks and routing score | 93 | 100 |
| Climate and time series score | 82 | 74 |
| Spatial statistics and interpolation score | 72 | 65 |
| Mapping and cartography score | 57 | 64 |
| Recognising infeasible requests score | 75 | 61 |
| Cost per task | $0.252 | $0.0092 |
| Time per task | 3.4 min | 3.4 min |
| Tokens per attempt | 73k | 233k |
| Turns per attempt | 7.1 | 9.7 |
| Attempts decided | 870 | 627 |
| Input price per 1M tokens | $2.00 | $0.10 |
| Output price per 1M tokens | $12.00 | $0.50 |
| Context window | 1,048,576 | No data |
| Image input | Yes | No data |
| Developer | OpenAI |
Charts
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-6 Luna (xhigh) | OpenAI | 77* (attempts per task: 2.4) | 69 to 78 | 4 of 4 | 627 of 870 planned attempts |
| Terminus-2 – Gemini 3.1 Pro (preview) (high) | 75 (attempts per task: 3) | No pending judgements | 4 of 4 | 870 of 870 planned attempts |
Cost per task
Average cost per task (USD) · Lower is better
First eight selected entries in metric order. Full results in table view.
Data table: Cost per task
| Model | Creator | Cost per task | Coverage (attempts) |
|---|---|---|---|
| Terminus-2 – Gemini 3.1 Pro (preview) (high) | $0.252 | 870 of 870 planned attempts | |
| Codex – GPT-6 Luna (xhigh) | OpenAI | $0.0092 | 706 of 870 planned attempts |
Time per task
Average agent wall time per task · Lower is better
First eight selected entries in metric order. Full results in table view.
Data table: Time per task
| Model | Creator | Time per task | Coverage (attempts) |
|---|---|---|---|
| Terminus-2 – Gemini 3.1 Pro (preview) (high) | 3.4 min | 870 of 870 planned attempts | |
| Codex – GPT-6 Luna (xhigh) | OpenAI | 3.4 min | 706 of 870 planned attempts |
Frequently asked questions
- Which scores higher on the Geospatial Agent Index, Terminus-2 – Gemini 3.1 Pro (preview) (high) or Codex – GPT-6 Luna (xhigh)?
- Codex – GPT-6 Luna (xhigh), at 77 against 75 for Terminus-2 – Gemini 3.1 Pro (preview) (high). Terminus-2 – Gemini 3.1 Pro (preview) (high): 870 of 870 planned attempts. Codex – GPT-6 Luna (xhigh): 627 of 870 planned attempts. Coverage is partial; scores can change as more attempts are decided.
- Which is cheaper per task, Terminus-2 – Gemini 3.1 Pro (preview) (high) or Codex – GPT-6 Luna (xhigh)?
- Codex – GPT-6 Luna (xhigh), at $0.0092 against $0.252 for Terminus-2 – Gemini 3.1 Pro (preview) (high).
- Which is faster per task, Terminus-2 – Gemini 3.1 Pro (preview) (high) or Codex – GPT-6 Luna (xhigh)?
- Codex – GPT-6 Luna (xhigh), at 3.4 min against 3.4 min for Terminus-2 – Gemini 3.1 Pro (preview) (high).
- Which has the larger context window, Terminus-2 – Gemini 3.1 Pro (preview) (high) or Codex – GPT-6 Luna (xhigh)?
- Not known yet: Codex – GPT-6 Luna (xhigh) has no context window data.
More: Terminus-2 – Gemini 3.1 Pro (preview) (high) · Codex – GPT-6 Luna (xhigh) · all comparisons
