Terminus-2 – gpt-oss-120b (high) vs. Terminus-2 – Qwen 3.8 27B (xhigh): geospatial agent comparison
Comparison between Terminus-2 – gpt-oss-120b (high) and Terminus-2 – Qwen 3.8 27B (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 – gpt-oss-120b (high) | Terminus-2 – Qwen 3.8 27B (xhigh) |
|---|---|---|
| Geospatial Agent Index | 53* | 62* |
| GeoAgentBench score | 70 | 60 |
| GeoBenchX score | 42 | No data |
| Earth-Bench score | 46 | 27 |
| GeoAnalystBench score | 53 | 100 |
| Raster and remote sensing score | 52 | 36 |
| Vector and overlay score | 56 | 78 |
| Networks and routing score | 100 | 67 |
| Climate and time series score | 62 | 43 |
| Spatial statistics and interpolation score | 30 | 62 |
| Mapping and cartography score | 43 | 100 |
| Recognising infeasible requests score | 47 | No data |
| Cost per task | $0.026 | $0.066 |
| Time per task | 4.6 min | 19.8 min |
| Tokens per attempt | 59k | 90k |
| Turns per attempt | 5.3 | 8.2 |
| Attempts decided | 249 | 101 |
| Input price per 1M tokens | $0.35 | $0.45 |
| Output price per 1M tokens | $0.75 | $3.20 |
| Context window | 128,000 | 262,144 |
| Image input | No | Yes |
| Developer | OpenAI | Alibaba (Qwen) |
Charts
Axis Spatial Geospatial Agent Index
Equal-weight average of the evaluation scores, 0 to 100 · Higher is better
Data table: Axis Spatial Geospatial Agent Index
| Model | Creator | Geospatial Agent Index | Range while attempts are pending | Benchmarks covered | Coverage (attempts) |
|---|---|---|---|---|---|
| Terminus-2 – gpt-oss-120b (high) | OpenAI | 53* | No pending judgements; coverage incomplete | 4 of 4 | 249 of 870 planned attempts |
| Terminus-2 – Qwen 3.8 27B (xhigh) | Alibaba (Qwen) | 62* | No pending judgements; coverage incomplete | 3 of 4 | 101 of 870 planned attempts |
Cost per task
Average cost per task (USD) · Lower is better
Data table: Cost per task
| Model | Creator | Cost per task | Coverage (attempts) |
|---|---|---|---|
| Terminus-2 – gpt-oss-120b (high) | OpenAI | $0.026 | 249 of 870 planned attempts |
| Terminus-2 – Qwen 3.8 27B (xhigh) | Alibaba (Qwen) | $0.066 | 101 of 870 planned attempts |
Time per task
Average agent wall time per task · Lower is better
Data table: Time per task
| Model | Creator | Time per task | Coverage (attempts) |
|---|---|---|---|
| Terminus-2 – gpt-oss-120b (high) | OpenAI | 4.6 min | 249 of 870 planned attempts |
| Terminus-2 – Qwen 3.8 27B (xhigh) | Alibaba (Qwen) | 19.8 min | 101 of 870 planned attempts |
Frequently asked questions
- Which scores higher on the Geospatial Agent Index, Terminus-2 – gpt-oss-120b (high) or Terminus-2 – Qwen 3.8 27B (xhigh)?
- Not comparable yet: Terminus-2 – Qwen 3.8 27B (xhigh) has scores on 3 of 4 benchmarks, so it is not yet ranked. Terminus-2 – gpt-oss-120b (high): 249 of 870 planned attempts. Terminus-2 – Qwen 3.8 27B (xhigh): 101 of 870 planned attempts. Coverage is partial; scores can change as more attempts are decided.
- Which is cheaper per task, Terminus-2 – gpt-oss-120b (high) or Terminus-2 – Qwen 3.8 27B (xhigh)?
- Terminus-2 – gpt-oss-120b (high), at $0.026 against $0.066 for Terminus-2 – Qwen 3.8 27B (xhigh).
- Which is faster per task, Terminus-2 – gpt-oss-120b (high) or Terminus-2 – Qwen 3.8 27B (xhigh)?
- Terminus-2 – gpt-oss-120b (high), at 4.6 min against 19.8 min for Terminus-2 – Qwen 3.8 27B (xhigh).
- Which has the larger context window, Terminus-2 – gpt-oss-120b (high) or Terminus-2 – Qwen 3.8 27B (xhigh)?
- Terminus-2 – Qwen 3.8 27B (xhigh), at 262,144 tokens against 128,000 tokens for Terminus-2 – gpt-oss-120b (high).
More: Terminus-2 – gpt-oss-120b (high) · Terminus-2 – Qwen 3.8 27B (xhigh) · all comparisons