Terminus-2 – DeepSeek V4 Pro (max) vs. Claude Code – Claude Haiku 4.5 (thinking 32k): geospatial agent comparison
Comparison between Terminus-2 – DeepSeek V4 Pro (max) 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 – DeepSeek V4 Pro (max) | Claude Code – Claude Haiku 4.5 (thinking 32k) |
|---|---|---|
| Geospatial Agent Index | 59* | 48* (partial: attempt 1 on 391 of 565 tasks) |
| Earth-Bench V2 score | 49 | 36 |
| GeoBenchX score | 57 | 44 |
| GS-QA2 score | 70 | 65 |
| GeoAgentBench score (guided GIS workflow; outside the index) | 96 | 74 |
| GeoAnalystBench score (guided GIS workflow; outside the index) | 100 | 83 |
| Raster and remote sensing score | 63 | 60 |
| Vector and overlay score | 67 | 63 |
| Networks and routing score | No data | No data |
| Climate and time series score | 51 | 30 |
| Spatial statistics and interpolation score | 43 | 33 |
| Mapping and cartography score | 80 | 55 |
| Recognising infeasible requests score | 42 | 31 |
| Cost per task | $0.341 | $0.094 |
| Time per task | 8.7 min | 1.5 min |
| Tokens per attempt | 270k | 321k |
| Turns per attempt | 14.8 | 10.8 |
| Attempts decided | 565 | 391 |
| Input price per 1M tokens | $1.32 | $1.00 |
| Output price per 1M tokens | $3.96 | $5.00 |
| Context window | 1,048,576 | 200,000 |
| Image input | No | Yes |
| Developer | DeepSeek | Anthropic |
Charts
Partial coverage. Claude Code – Claude Haiku 4.5 (thinking 32k): 83 of 147 Earth-Bench V2 tasks; 63 of 173 GeoBenchX tasks. Grey placeholders identify these entries in the index, cost and output token 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 – DeepSeek V4 Pro (max) | DeepSeek | 59* | No pending judgements; coverage incomplete; 172 results awaiting review; 1 trace review declined by the judge | 3 of 3 | 565 of 859 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 – DeepSeek V4 Pro (max) | DeepSeek | $0.341 | 565 of 859 planned attempts |
Output tokens per task
Average output tokens per attempt, reasoning included · 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: Output tokens per task
| Model | Creator | Output tokens per task | Coverage (attempts) |
|---|---|---|---|
| Terminus-2 – DeepSeek V4 Pro (max) | DeepSeek | 24k | 565 of 859 planned attempts |
Frequently asked questions
Which scores higher on the Geospatial Agent Index, Terminus-2 – DeepSeek V4 Pro (max) or Claude Code – Claude Haiku 4.5 (thinking 32k)?
Which is cheaper per task, Terminus-2 – DeepSeek V4 Pro (max) or Claude Code – Claude Haiku 4.5 (thinking 32k)?
Which writes fewer output tokens per task, Terminus-2 – DeepSeek V4 Pro (max) or Claude Code – Claude Haiku 4.5 (thinking 32k)?
Which has the larger context window, Terminus-2 – DeepSeek V4 Pro (max) or Claude Code – Claude Haiku 4.5 (thinking 32k)?
More: Terminus-2 – DeepSeek V4 Pro (max) · Claude Code – Claude Haiku 4.5 (thinking 32k) · all comparisons