Terminus-2 – GLM-4.7-Flash (thinking on) vs. Terminus-2 – Kimi K2.7 Code (always on): geospatial agent comparison
Comparison between Terminus-2 – GLM-4.7-Flash (thinking on) and Terminus-2 – Kimi K2.7 Code (always on) 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-4.7-Flash (thinking on) | Terminus-2 – Kimi K2.7 Code (always on) |
|---|---|---|
| Geospatial Agent Index | 41* | 73* |
| GeoAgentBench score | 36 | 90 |
| GeoBenchX score | 39 | 55 |
| Earth-Bench score | 45 | 62 |
| GeoAnalystBench score | 42 | 84 |
| Raster and remote sensing score | 36 | 74 |
| Vector and overlay score | 36 | 78 |
| Networks and routing score | 20 | 80 |
| Climate and time series score | 55 | 79 |
| Spatial statistics and interpolation score | 40 | 67 |
| Mapping and cartography score | 54 | 73 |
| Recognising infeasible requests score | 36 | 41 |
| Cost per task | $0.027 | $0.129 |
| Time per task | 10.0 min | 6.8 min |
| Tokens per attempt | 357k | 308k |
| Turns per attempt | 16.6 | 14.6 |
| Attempts decided | 176 | 268 |
| Input price per 1M tokens | $0.06 | $0.95 |
| Output price per 1M tokens | $0.40 | $4.00 |
| Context window | 131,072 | 262,144 |
| Image input | No | Yes |
| Developer | Z.ai | Moonshot AI |
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 – Kimi K2.7 Code (always on) | Moonshot AI | 73* | 73 to 73 | 4 of 4 | 268 of 870 planned attempts |
| Terminus-2 – GLM-4.7-Flash (thinking on) | Z.ai | 41* | No pending judgements; coverage incomplete | 4 of 4 | 176 of 870 planned attempts |
Terminus-2 – Kimi K2.7 Code (always on)
Terminus-2 – GLM-4.7-Flash (thinking on)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 – GLM-4.7-Flash (thinking on) | Z.ai | $0.027 | 176 of 870 planned attempts |
| Terminus-2 – Kimi K2.7 Code (always on) | Moonshot AI | $0.129 | 269 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 – GLM-4.7-Flash (thinking on) | Z.ai | 10.0 min | 176 of 870 planned attempts |
| Terminus-2 – Kimi K2.7 Code (always on) | Moonshot AI | 6.8 min | 269 of 870 planned attempts |
Frequently asked questions
- Which scores higher on the Geospatial Agent Index, Terminus-2 – GLM-4.7-Flash (thinking on) or Terminus-2 – Kimi K2.7 Code (always on)?
- Terminus-2 – Kimi K2.7 Code (always on), at 73 against 41 for Terminus-2 – GLM-4.7-Flash (thinking on). Terminus-2 – GLM-4.7-Flash (thinking on): 176 of 870 planned attempts. Terminus-2 – Kimi K2.7 Code (always on): 268 of 870 planned attempts. Coverage is partial; scores can change as more attempts are decided.
- Which is cheaper per task, Terminus-2 – GLM-4.7-Flash (thinking on) or Terminus-2 – Kimi K2.7 Code (always on)?
- Terminus-2 – GLM-4.7-Flash (thinking on), at $0.027 against $0.129 for Terminus-2 – Kimi K2.7 Code (always on).
- Which is faster per task, Terminus-2 – GLM-4.7-Flash (thinking on) or Terminus-2 – Kimi K2.7 Code (always on)?
- Terminus-2 – Kimi K2.7 Code (always on), at 6.8 min against 10.0 min for Terminus-2 – GLM-4.7-Flash (thinking on).
- Which has the larger context window, Terminus-2 – GLM-4.7-Flash (thinking on) or Terminus-2 – Kimi K2.7 Code (always on)?
- Terminus-2 – Kimi K2.7 Code (always on), at 262,144 tokens against 131,072 tokens for Terminus-2 – GLM-4.7-Flash (thinking on).
More: Terminus-2 – GLM-4.7-Flash (thinking on) · Terminus-2 – Kimi K2.7 Code (always on) · all comparisons