Terminus-2 – gpt-oss-120b (high) vs. Claude Code – Claude Haiku 5.5 (high): geospatial agent comparison
Comparison between Terminus-2 – gpt-oss-120b (high) and Claude Code – Claude Haiku 5.5 (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 – gpt-oss-120b (high) | Claude Code – Claude Haiku 5.5 (high) |
|---|---|---|
| Geospatial Agent Index | 52 | 75* (partial: 1.7 of 3 attempts) |
| GeoAgentBench score | 75 | 98 |
| GeoBenchX score | 38 | 61 |
| Earth-Bench score | 44 | 51 |
| GeoAnalystBench score | 51 | 89 |
| Raster and remote sensing score | 54 | 69 |
| Vector and overlay score | 61 | 75 |
| Networks and routing score | 80 | 100 |
| Climate and time series score | 57 | 79 |
| Spatial statistics and interpolation score | 32 | 58 |
| Mapping and cartography score | 34 | 75 |
| Recognising infeasible requests score | 44 | 56 |
| Cost per task | $0.026 | $0.010 |
| Time per task | 4.6 min | 1.1 min |
| Tokens per attempt | 60k | 328k |
| Turns per attempt | 5.2 | 8.1 |
| Attempts decided | 870 | 422 |
| Input price per 1M tokens | $0.35 | $0.10 |
| Output price per 1M tokens | $0.75 | $0.50 |
| Context window | 128,000 | No data |
| Image input | No | No data |
| Developer | OpenAI | Anthropic |
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) |
|---|---|---|---|---|---|
| Claude Code – Claude Haiku 5.5 (high) | Anthropic | 75* (partial: 1.7 of 3 attempts) | 66 to 77 | 4 of 4 | 422 of 870 planned attempts |
| Terminus-2 – gpt-oss-120b (high) | OpenAI | 52 | No pending judgements | 4 of 4 | 870 of 870 planned attempts |
Claude Code – Claude Haiku 5.5 (high)
Terminus-2 – gpt-oss-120b (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 – gpt-oss-120b (high) | OpenAI | $0.026 | 869 of 870 planned attempts |
| Claude Code – Claude Haiku 5.5 (high) | Anthropic | $0.010 | 485 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 – gpt-oss-120b (high) | OpenAI | 4.6 min | 870 of 870 planned attempts |
| Claude Code – Claude Haiku 5.5 (high) | Anthropic | 1.1 min | 485 of 870 planned attempts |
Frequently asked questions
- Which scores higher on the Geospatial Agent Index, Terminus-2 – gpt-oss-120b (high) or Claude Code – Claude Haiku 5.5 (high)?
- Claude Code – Claude Haiku 5.5 (high), at 75 against 52 for Terminus-2 – gpt-oss-120b (high). Terminus-2 – gpt-oss-120b (high): 870 of 870 planned attempts. Claude Code – Claude Haiku 5.5 (high): 422 of 870 planned attempts. Coverage is partial; scores can change as more attempts are decided.
- Which is cheaper per task, Terminus-2 – gpt-oss-120b (high) or Claude Code – Claude Haiku 5.5 (high)?
- Claude Code – Claude Haiku 5.5 (high), at $0.010 against $0.026 for Terminus-2 – gpt-oss-120b (high).
- Which is faster per task, Terminus-2 – gpt-oss-120b (high) or Claude Code – Claude Haiku 5.5 (high)?
- Claude Code – Claude Haiku 5.5 (high), at 1.1 min against 4.6 min for Terminus-2 – gpt-oss-120b (high).
- Which has the larger context window, Terminus-2 – gpt-oss-120b (high) or Claude Code – Claude Haiku 5.5 (high)?
- Not known yet: Claude Code – Claude Haiku 5.5 (high) has no context window data.
More: Terminus-2 – gpt-oss-120b (high) · Claude Code – Claude Haiku 5.5 (high) · all comparisons