Gemini 3.1 Pro (preview) (low) vs Nemotron 3.5 Super 120B (Reasoning)
Results updated 9 November 2026 · Both in Terminus-2 · How we benchmark
Verdict
Not comparable yet: Gemini 3.1 Pro (preview) (low) is not yet ranked.
- Cost per task
- $0.057 vs $0.011
- Time per task
- 0.5 min vs 13.8 min
- Tokens per attempt
- 19k vs 105k
- Image input
- Yes vs No
Gemini 3.1 Pro (preview) (low), Terminus-2 scores higher on GeoBenchX; Nemotron 3.5 Super 120B (Reasoning), Terminus-2 scores higher on Earth-Bench V2. Nemotron 3.5 Super 120B (Reasoning), Terminus-2 is cheaper ($0.011 against $0.057 per task), but Gemini 3.1 Pro (preview) (low), Terminus-2 is faster (0.5 min against 13.8 min).
Not yet ranked. Gemini 3.1 Pro (preview) (low), Terminus-2: no GS-QA2 score yet. Not in the Agent Index, cost and time charts until it has a score on every index evaluation. Results so far are in the side-by-side table.
Where they differ most
By kind of work, share of tasks passed, 0 to 100 · Higher is better
| Kind of work | Gemini 3.1 Pro (preview) (low) | Nemotron 3.5 Super 120B (Reasoning) |
|---|---|---|
| Change detection | 25 | 56 |
| Making maps | 60 | 70 |
| GIS analysis | 80 | 70 |
| Remote sensing and raster analysis | 59 | 54 |
Charts for each: Gemini 3.1 Pro (preview) (low), Terminus-2 · Nemotron 3.5 Super 120B (Reasoning), Terminus-2.
Side by side
| Metric | Gemini 3.1 Pro (preview) (low), Terminus-2 | Nemotron 3.5 Super 120B (Reasoning), Terminus-2 |
|---|---|---|
| Geospatial Agent Index: Text only | 57 | 56 |
| Geospatial Agent Index: Text + vision | No data | No data |
| Earth-Bench V2 score | 41 | 49 |
| GeoBenchX score | 74 | 56 |
| GS-QA2 score | No data | 63 |
| Vision agents score | No data | No data |
| GeoAgentBench score (Guided workflows; not in the Agent Index) | 84 | 83 |
| GeoAnalystBench score (Guided workflows; not in the Agent Index) | 79 | 79 |
| OGD4All score (standalone; in no index) | No data | 85 |
| GeoNatureAgent score (standalone; in no index) | No data | 100 |
| MultiGlobeQA score (standalone; in no index) | No data | 70 |
| GeoAgentEval score (standalone; in no index) | No data | 84 |
| ImpactMesh score (standalone; in no index) | No data | No data |
| Remote sensing and raster analysis score | 59 | 54 |
| Change detection score | 25 | 56 |
| GIS analysis score | 80 | 70 |
| Climate and time series score | 45 | 50 |
| Making maps score | 60 | 70 |
| Cost per task | $0.057 | $0.011 |
| Time per task (at 100 output tokens/s) | 0.5 min | 13.8 min |
| Tokens per attempt | 19k | 105k |
| Turns per attempt | 3.6 | 10.5 |
| Input price per 1M tokens | $2.00 | $0.20 |
| Output price per 1M tokens | $12.00 | $0.50 |
| Context window | 1,048,576 | 262,144 |
| Image input | Yes | No |
| Developer | NVIDIA |
