Laguna XS 2.1 (Reasoning) vs Nemotron 3.5 Lightning 30B (Reasoning)
Results updated 8 November 2026 · Both in Terminus-2 · How we benchmark
Verdict
Laguna XS 2.1 (Reasoning) clearly beats Nemotron 3.5 Lightning 30B (Reasoning) by 24 points; Nemotron 3.5 Lightning 30B (Reasoning) is cheaper and faster.
- Cost per task
- $0.054 vs $0.013
- Time per task
- 17.3 min vs 4.8 min
- Tokens per attempt
- 937k vs 273k
- Image input
- No vs No
Laguna XS 2.1 (Reasoning), Terminus-2 scores higher than Nemotron 3.5 Lightning 30B (Reasoning), Terminus-2 on all 3 evaluations scored for both. Nemotron 3.5 Lightning 30B (Reasoning), Terminus-2 is cheaper and faster: $0.013 against $0.054 per task, and 4.8 min against 17.3 min.
Where they differ most
By kind of work, share of tasks passed, 0 to 100 · Higher is better
| Kind of work | Laguna XS 2.1 (Reasoning) | Nemotron 3.5 Lightning 30B (Reasoning) |
|---|---|---|
| Remote sensing and raster analysis | 39 | 8 |
| GIS analysis | 35 | 7 |
| Change detection | 48 | 24 |
| Making maps | 53 | 30 |
Where the tasks are set: each kind of work links to its tasks and scoresCharts for each: Laguna XS 2.1 (Reasoning), Terminus-2 · Nemotron 3.5 Lightning 30B (Reasoning), Terminus-2.
Side by side
| Metric | Laguna XS 2.1 (Reasoning), Terminus-2 | Nemotron 3.5 Lightning 30B (Reasoning), Terminus-2 |
|---|---|---|
| Geospatial Agent Index: Text only | 37 | 13 |
| Geospatial Agent Index: Text + vision | No data | No data |
| Earth-Bench V2 score | 44 | 16 |
| GeoBenchX score | 33 | 20 |
| GS-QA2 score | 35 | 4 |
| Vision agents score | No data | No data |
| GeoAgentBench score (Guided workflows; not in the Agent Index) | 63 | 10 |
| GeoAnalystBench score (Guided workflows; not in the Agent Index) | 63 | 32 |
| OGD4All score (standalone; in no index) | 65 | 90 |
| GeoNatureAgent score (standalone; in no index) | 36 | 64 |
| MultiGlobeQA score (standalone; in no index) | 59 | 68 |
| GeoAgentEval score (standalone; in no index) | 60 | 36 |
| ImpactMesh score (standalone; in no index) | No data | No data |
| Remote sensing and raster analysis score | 39 | 8 |
| Change detection score | 48 | 24 |
| GIS analysis score | 35 | 7 |
| Climate and time series score | 36 | 14 |
| Making maps score | 53 | 30 |
| Cost per task | $0.054 | $0.013 |
| Time per task (at 100 output tokens/s) | 17.3 min | 4.8 min |
| Tokens per attempt | 937k | 273k |
| Turns per attempt | 36.7 | 18.7 |
| Input price per 1M tokens | $0.10 | $0.060 |
| Output price per 1M tokens | $0.20 | $0.20 |
| Context window | 262,144 | 262,144 |
| Image input | No | No |
| Developer | Poolside | NVIDIA |
Frequently asked questions
Which scores higher on the Geospatial Agent Index, Laguna XS 2.1 (Reasoning), Terminus-2 or Nemotron 3.5 Lightning 30B (Reasoning), Terminus-2?
Laguna XS 2.1 (Reasoning), Terminus-2, 37 to 13.
Which is cheaper per task, Laguna XS 2.1 (Reasoning), Terminus-2 or Nemotron 3.5 Lightning 30B (Reasoning), Terminus-2?
Nemotron 3.5 Lightning 30B (Reasoning), Terminus-2, $0.013 to $0.054.
Which writes fewer output tokens per task, Laguna XS 2.1 (Reasoning), Terminus-2 or Nemotron 3.5 Lightning 30B (Reasoning), Terminus-2?
Nemotron 3.5 Lightning 30B (Reasoning), Terminus-2, 7k to 24k.
Which has the larger context window, Laguna XS 2.1 (Reasoning), Terminus-2 or Nemotron 3.5 Lightning 30B (Reasoning), Terminus-2?
They are level, at 262,144 tokens.