GLM-5.3-Flash (low), Terminus-2 vs. Nemotron 3 Ultra (high), Terminus-2
GLM-5.3-Flash (low), Terminus-2 against Nemotron 3 Ultra (high), Terminus-2: Geospatial Agent Index, each evaluation, cost, time and tokens, on the same tasks and limits. Methodology.
Side by side
| Metric | GLM-5.3-Flash (low), Terminus-2 | Nemotron 3 Ultra (high), Terminus-2 |
|---|---|---|
| Geospatial Agent Index: Text only | 62 | 68 |
| Geospatial Agent Index: Text + vision | No data | No data |
| Earth-Bench V2 score | 53 | 68 |
| GeoBenchX score | 57 | 65 |
| GS-QA2 score | 76 | 70 |
| Vision agents score | No data | No data |
| GeoAgentBench score (Guided workflows; not in the Agent Index) | 94 | 96 |
| GeoAnalystBench score (Guided workflows; not in the Agent Index) | 95 | 63 |
| 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 | 67 | 70 |
| GIS analysis score | 75 | 70 |
| Climate and time series score | 59 | 68 |
| Spatial statistics score | 38 | 31 |
| Making maps score | 67 | 70 |
| Recognising infeasible requests score | 47 | 68 |
| Cost per task | $0.048 | $0.069 |
| Time per task (at 100 output tokens/s) | 4.2 min | 2.4 min |
| Tokens per attempt | 476k | 148k |
| Turns per attempt | 14.0 | 12.1 |
| Input price per 1M tokens | $0.15 | $0.50 |
| Output price per 1M tokens | $0.50 | $2.20 |
| Context window | 1,048,576 | 262,144 |
| Image input | Yes | No |
| Developer | Z.ai | NVIDIA |
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 |
|---|---|---|
| Nemotron 3 Ultra (high), Terminus-2 | NVIDIA | 68 |
| GLM-5.3-Flash (low), Terminus-2 | Z.ai | 62 |
Cost per task
Average cost per task (USD) · Lower is better
Data table: Cost per task
| Model | Developer | Cost per task |
|---|---|---|
| GLM-5.3-Flash (low), Terminus-2 | Z.ai | $0.048 |
| Nemotron 3 Ultra (high), Terminus-2 | NVIDIA | $0.069 |
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 |
|---|---|---|
| Nemotron 3 Ultra (high), Terminus-2 | NVIDIA | 10k |
| GLM-5.3-Flash (low), Terminus-2 | Z.ai | 15k |
Frequently asked questions
Which scores higher on the Geospatial Agent Index, GLM-5.3-Flash (low), Terminus-2 or Nemotron 3 Ultra (high), Terminus-2?
Nemotron 3 Ultra (high), Terminus-2, 68 to 62.
Which is cheaper per task, GLM-5.3-Flash (low), Terminus-2 or Nemotron 3 Ultra (high), Terminus-2?
GLM-5.3-Flash (low), Terminus-2, $0.048 to $0.069.
Which writes fewer output tokens per task, GLM-5.3-Flash (low), Terminus-2 or Nemotron 3 Ultra (high), Terminus-2?
Nemotron 3 Ultra (high), Terminus-2, 10k to 15k.
Which has the larger context window, GLM-5.3-Flash (low), Terminus-2 or Nemotron 3 Ultra (high), Terminus-2?
GLM-5.3-Flash (low), Terminus-2, 1,048,576 tokens to 262,144 tokens.
More: GLM-5.3-Flash (low), Terminus-2 · Nemotron 3 Ultra (high), Terminus-2 · All comparisons