Terminus-2 – GLM-4.7-Flash (thinking on) vs. Claude Code – Claude Haiku 4.5 (thinking 32k): geospatial agent comparison
Comparison between Terminus-2 – GLM-4.7-Flash (thinking on) and Claude Code – Claude Haiku 4.5 (thinking 32k) 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) | Claude Code – Claude Haiku 4.5 (thinking 32k) |
|---|---|---|
| Geospatial Agent Index | 29* | 36* (partial: attempt 1 on 94 of 320 tasks) |
| Earth-Bench V2 score | 25 | 28 |
| GeoBenchX score | 32 | 45 |
| GeoAgentBench score (guided GIS workflow; outside the index) | 38 | 69 |
| GeoAnalystBench score (guided GIS workflow; outside the index) | 37 | 100 |
| Raster and remote sensing score | 26 | 33 |
| Vector and overlay score | 50 | No data |
| Networks and routing score | No data | No data |
| Climate and time series score | 26 | 33 |
| Spatial statistics and interpolation score | 0 | 40 |
| Mapping and cartography score | 37 | 60 |
| Recognising infeasible requests score | 33 | 26 |
| Cost per task | $0.035 | $0.155 |
| Time per task | 11.1 min | 2.5 min |
| Tokens per attempt | 484k | 490k |
| Turns per attempt | 18.8 | 14.2 |
| Attempts decided | 320 | 94 |
| Input price per 1M tokens | $0.06 | $1.00 |
| Output price per 1M tokens | $0.40 | $5.00 |
| Context window | 131,072 | 200,000 |
| Image input | No | Yes |
| Developer | Z.ai | Anthropic |
Charts
Partial coverage. Claude Code – Claude Haiku 4.5 (thinking 32k): 47 of 147 Earth-Bench V2 tasks; 47 of 173 GeoBenchX tasks. Grey placeholders identify these entries in the index, cost and time 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) |
|---|---|---|---|---|---|
| Terminus-2 – GLM-4.7-Flash (thinking on) | Z.ai | 29* | No pending judgements; coverage incomplete | 2 of 2 | 320 of 614 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.
How to read this chart
Not shown: partial coverage. Claude Code – Claude Haiku 4.5 (thinking 32k).
Data table: Cost per task
| Model | Creator | Cost per task | Coverage (attempts) |
|---|---|---|---|
| Terminus-2 – GLM-4.7-Flash (thinking on) | Z.ai | $0.035 | 320 of 614 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.
How to read this chart
Not shown: partial coverage. Claude Code – Claude Haiku 4.5 (thinking 32k).
Data table: Time per task
| Model | Creator | Time per task | Coverage (attempts) |
|---|---|---|---|
| Terminus-2 – GLM-4.7-Flash (thinking on) | Z.ai | 11.1 min | 320 of 614 planned attempts |
Frequently asked questions
Which scores higher on the Geospatial Agent Index, Terminus-2 – GLM-4.7-Flash (thinking on) or Claude Code – Claude Haiku 4.5 (thinking 32k)?
Which is cheaper per task, Terminus-2 – GLM-4.7-Flash (thinking on) or Claude Code – Claude Haiku 4.5 (thinking 32k)?
Which is faster per task, Terminus-2 – GLM-4.7-Flash (thinking on) or Claude Code – Claude Haiku 4.5 (thinking 32k)?
Which has the larger context window, Terminus-2 – GLM-4.7-Flash (thinking on) or Claude Code – Claude Haiku 4.5 (thinking 32k)?
More: Terminus-2 – GLM-4.7-Flash (thinking on) · Claude Code – Claude Haiku 4.5 (thinking 32k) · all comparisons