Terminus-2 – GLM-5.2 (none) vs. Terminus-2 – Qwen 3.8 27B (xhigh): geospatial agent comparison
Comparison between Terminus-2 – GLM-5.2 (none) 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 – GLM-5.2 (none) | Terminus-2 – Qwen 3.8 27B (xhigh) |
|---|---|---|
| Geospatial Agent Index | 69* (partial: 1.4 of 3 attempts) | 62* (partial: 0.3 of 3 attempts) |
| GeoAgentBench score | 94 | 60 |
| GeoBenchX score | 51 | No data |
| Earth-Bench score | 51 | 27 |
| GeoAnalystBench score | 79 | 100 |
| Raster and remote sensing score | 73 | 36 |
| Vector and overlay score | 69 | 78 |
| Networks and routing score | 100 | 67 |
| Climate and time series score | 58 | 43 |
| Spatial statistics and interpolation score | 58 | 62 |
| Mapping and cartography score | 75 | 100 |
| Recognising infeasible requests score | 33 | No data |
| Cost per task | $0.103 | $0.066 |
| Time per task | 2.9 min | 19.8 min |
| Tokens per attempt | 169k | 90k |
| Turns per attempt | 11.3 | 8.2 |
| Attempts decided | 356 | 101 |
| Input price per 1M tokens | $1.40 | $0.45 |
| Output price per 1M tokens | $4.40 | $3.20 |
| Context window | 262,144 | 262,144 |
| Image input | No | Yes |
| Developer | Z.ai | Alibaba (Qwen) |
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) |
|---|---|---|---|---|---|
| Terminus-2 – GLM-5.2 (none) | Z.ai | 69* (partial: 1.4 of 3 attempts) | 62 to 72 | 4 of 4 | 356 of 870 planned attempts |
| Terminus-2 – Qwen 3.8 27B (xhigh) | Alibaba (Qwen) | 62* (partial: 0.3 of 3 attempts) | No pending judgements; coverage incomplete | 3 of 4 | 101 of 870 planned attempts |
Terminus-2 – GLM-5.2 (none)
Terminus-2 – Qwen 3.8 27B (xhigh)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 – GLM-5.2 (none) | Z.ai | $0.103 | 408 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
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 – GLM-5.2 (none) | Z.ai | 2.9 min | 408 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 – GLM-5.2 (none) 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 – GLM-5.2 (none): 356 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 – GLM-5.2 (none) or Terminus-2 – Qwen 3.8 27B (xhigh)?
- Terminus-2 – Qwen 3.8 27B (xhigh), at $0.066 against $0.103 for Terminus-2 – GLM-5.2 (none).
- Which is faster per task, Terminus-2 – GLM-5.2 (none) or Terminus-2 – Qwen 3.8 27B (xhigh)?
- Terminus-2 – GLM-5.2 (none), at 2.9 min against 19.8 min for Terminus-2 – Qwen 3.8 27B (xhigh).
- Which has the larger context window, Terminus-2 – GLM-5.2 (none) or Terminus-2 – Qwen 3.8 27B (xhigh)?
- They are level, at 262,144 tokens.
More: Terminus-2 – GLM-5.2 (none) · Terminus-2 – Qwen 3.8 27B (xhigh) · all comparisons