Nemotron 3 Nano Omni 30B (Reasoning), Terminus-2 vs. Qwen 3.8 27B (xhigh), Terminus-2
Nemotron 3 Nano Omni 30B (Reasoning), Terminus-2 against Qwen 3.8 27B (xhigh), Terminus-2: Geospatial Agent Index, each evaluation, cost, time and tokens, on the same tasks and limits. Methodology.
Side by side
| Metric | Nemotron 3 Nano Omni 30B (Reasoning), Terminus-2 | Qwen 3.8 27B (xhigh), Terminus-2 |
|---|---|---|
| Geospatial Agent Index: Text only | 20 | 61 |
| Geospatial Agent Index: Text + vision | No data | No data |
| Earth-Bench V2 score | 29 | 44 |
| GeoBenchX score | 21 | 66 |
| GS-QA2 score | 9 | 74 |
| Vision agents score | No data | No data |
| GeoAgentBench score (Guided workflows; not in the Agent Index) | 26 | 60 |
| GeoAnalystBench score (Guided workflows; not in the Agent Index) | 16 | 89 |
| OGD4All score (standalone; in no index) | No data | No data |
| GeoNatureAgent score (standalone; in no index) | No data | No data |
| MultiGlobeQA score (standalone; in no index) | No data | No data |
| GeoAgentEval score (standalone; in no index) | No data | No data |
| Remote sensing and raster analysis score | 17 | 64 |
| GIS analysis score | 6 | 77 |
| Climate and time series score | 27 | 42 |
| Spatial statistics score | 0 | 69 |
| Making maps score | 16 | 68 |
| Recognising infeasible requests score | 33 | 57 |
| Cost per task | $0.13 | $0.10 |
| Time per task (at 100 output tokens/s) | 4.9 min | 7.3 min |
| Tokens per attempt | 589k | 335k |
| Turns per attempt | 30.7 | 14.8 |
| Input price per 1M tokens | $0.20 | $0.45 |
| Output price per 1M tokens | $0.80 | $3.20 |
| Context window | 256,000 | 262,144 |
| Image input | Yes | Yes |
| Developer | NVIDIA | Alibaba (Qwen) |
Charts
Geospatial Agent Index
Equal average of Earth-Bench V2, GeoBenchX and GS-QA2, 0 to 100 · Higher is better
Data table: Geospatial Agent Index
| Model | Developer | Geospatial Agent Index |
|---|---|---|
| Qwen 3.8 27B (xhigh), Terminus-2 | Alibaba (Qwen) | 61 |
| Nemotron 3 Nano Omni 30B (Reasoning), Terminus-2 | NVIDIA | 20 |
Cost per task
Average cost per task (USD) · Lower is better
Data table: Cost per task
| Model | Developer | Cost per task |
|---|---|---|
| Qwen 3.8 27B (xhigh), Terminus-2 | Alibaba (Qwen) | $0.10 |
| Nemotron 3 Nano Omni 30B (Reasoning), Terminus-2 | NVIDIA | $0.13 |
Output tokens per task
Average output tokens per attempt, reasoning included · Lower is better
Data table: Output tokens per task
| Model | Developer | Output tokens per task |
|---|---|---|
| Qwen 3.8 27B (xhigh), Terminus-2 | Alibaba (Qwen) | 19k |
| Nemotron 3 Nano Omni 30B (Reasoning), Terminus-2 | NVIDIA | 22k |
Frequently asked questions
Which scores higher on the Geospatial Agent Index, Nemotron 3 Nano Omni 30B (Reasoning), Terminus-2 or Qwen 3.8 27B (xhigh), Terminus-2?
Qwen 3.8 27B (xhigh), Terminus-2, 61 to 20.
Which is cheaper per task, Nemotron 3 Nano Omni 30B (Reasoning), Terminus-2 or Qwen 3.8 27B (xhigh), Terminus-2?
Qwen 3.8 27B (xhigh), Terminus-2, $0.10 to $0.13.
Which writes fewer output tokens per task, Nemotron 3 Nano Omni 30B (Reasoning), Terminus-2 or Qwen 3.8 27B (xhigh), Terminus-2?
Qwen 3.8 27B (xhigh), Terminus-2, 19k to 22k.
Which has the larger context window, Nemotron 3 Nano Omni 30B (Reasoning), Terminus-2 or Qwen 3.8 27B (xhigh), Terminus-2?
Qwen 3.8 27B (xhigh), Terminus-2, 262,144 tokens to 256,000 tokens.
More: Nemotron 3 Nano Omni 30B (Reasoning), Terminus-2 · Qwen 3.8 27B (xhigh), Terminus-2 · All comparisons
