Terminus-2 – Claude Sonnet 4.6 (adaptive, effort high) vs. Terminus-2 – DeepSeek V4 Pro (high): geospatial agent comparison
Comparison between Terminus-2 – Claude Sonnet 4.6 (adaptive, effort high) and Terminus-2 – DeepSeek V4 Pro (high) 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 – Claude Sonnet 4.6 (adaptive, effort high) | Terminus-2 – DeepSeek V4 Pro (high) |
|---|---|---|
| Geospatial Agent Index | 74* (partial: 1.1 of 3 attempts) | 74 |
| GeoAgentBench score | 97 | 95 |
| GeoBenchX score | 51 | 54 |
| Earth-Bench score | 54 | 53 |
| GeoAnalystBench score | 95 | 95 |
| Raster and remote sensing score | 72 | 74 |
| Vector and overlay score | 70 | 72 |
| Networks and routing score | 100 | 93 |
| Climate and time series score | 83 | 71 |
| Spatial statistics and interpolation score | 71 | 50 |
| Mapping and cartography score | 75 | 70 |
| Recognising infeasible requests score | 30 | 46 |
| Cost per task | $0.278 | $0.273 |
| Time per task | 3.7 min | 7.4 min |
| Tokens per attempt | 71k | 216k |
| Turns per attempt | 6.3 | 12.8 |
| Attempts decided | 306 | 870 |
| Input price per 1M tokens | $3.00 | $1.32 |
| Output price per 1M tokens | $15.00 | $3.96 |
| Context window | 1,000,000 | 1,048,576 |
| Image input | Yes | No |
| Developer | Anthropic | DeepSeek |
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 – Claude Sonnet 4.6 (adaptive, effort high) | Anthropic | 74* (partial: 1.1 of 3 attempts) | 73 to 75 | 4 of 4 | 306 of 870 planned attempts (133 excluded) |
| Terminus-2 – DeepSeek V4 Pro (high) | DeepSeek | 74 | No pending judgements | 4 of 4 | 870 of 870 planned attempts |
Terminus-2 – Claude Sonnet 4.6 (adaptive, effort high)
Terminus-2 – DeepSeek V4 Pro (high)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 – Claude Sonnet 4.6 (adaptive, effort high) | Anthropic | $0.278 | 321 of 870 planned attempts (133 excluded) |
| Terminus-2 – DeepSeek V4 Pro (high) | DeepSeek | $0.273 | 870 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 – Claude Sonnet 4.6 (adaptive, effort high) | Anthropic | 3.7 min | 321 of 870 planned attempts (133 excluded) |
| Terminus-2 – DeepSeek V4 Pro (high) | DeepSeek | 7.4 min | 870 of 870 planned attempts |
Frequently asked questions
- Which scores higher on the Geospatial Agent Index, Terminus-2 – Claude Sonnet 4.6 (adaptive, effort high) or Terminus-2 – DeepSeek V4 Pro (high)?
- Terminus-2 – Claude Sonnet 4.6 (adaptive, effort high), at 74 against 74 for Terminus-2 – DeepSeek V4 Pro (high). Terminus-2 – Claude Sonnet 4.6 (adaptive, effort high): 306 of 870 planned attempts (133 excluded). Terminus-2 – DeepSeek V4 Pro (high): 870 of 870 planned attempts. Coverage is partial; scores can change as more attempts are decided.
- Which is cheaper per task, Terminus-2 – Claude Sonnet 4.6 (adaptive, effort high) or Terminus-2 – DeepSeek V4 Pro (high)?
- Terminus-2 – DeepSeek V4 Pro (high), at $0.273 against $0.278 for Terminus-2 – Claude Sonnet 4.6 (adaptive, effort high).
- Which is faster per task, Terminus-2 – Claude Sonnet 4.6 (adaptive, effort high) or Terminus-2 – DeepSeek V4 Pro (high)?
- Terminus-2 – Claude Sonnet 4.6 (adaptive, effort high), at 3.7 min against 7.4 min for Terminus-2 – DeepSeek V4 Pro (high).
- Which has the larger context window, Terminus-2 – Claude Sonnet 4.6 (adaptive, effort high) or Terminus-2 – DeepSeek V4 Pro (high)?
- Terminus-2 – DeepSeek V4 Pro (high), at 1,048,576 tokens against 1,000,000 tokens for Terminus-2 – Claude Sonnet 4.6 (adaptive, effort high).
More: Terminus-2 – Claude Sonnet 4.6 (adaptive, effort high) · Terminus-2 – DeepSeek V4 Pro (high) · all comparisons