GLM-5.3-Flash (max), Claude Code vs. Claude Sonnet 5.5 (low), Claude Code
GLM-5.3-Flash (max), Claude Code against Claude Sonnet 5.5 (low), Claude Code: Geospatial Agent Index, each evaluation, cost, time and tokens, on the same tasks and limits. Methodology.
Side by side
| Metric | GLM-5.3-Flash (max), Claude Code | Claude Sonnet 5.5 (low), Claude Code |
|---|---|---|
| Geospatial Agent Index: Text only | 72 | 69 |
| Geospatial Agent Index: Text + vision | 73 | 71 |
| Earth-Bench V2 score | 69 | 56 |
| GeoBenchX score | 70 | 77 |
| GS-QA2 score | 76 | 76 |
| Vision agents score | 78 | 78 |
| GeoAgentBench score (Guided workflows; not in the Agent Index) | 98 | 94 |
| GeoAnalystBench score (Guided workflows; not in the Agent Index) | 100 | 95 |
| OGD4All score (standalone; in no index) | 97 | 96 |
| GeoNatureAgent score (standalone; in no index) | 100 | 100 |
| MultiGlobeQA score (standalone; in no index) | 74 | 77 |
| GeoAgentEval score (standalone; in no index) | 96 | 100 |
| Remote sensing and raster analysis score | 74 | 69 |
| GIS analysis score | 79 | 75 |
| Climate and time series score | 67 | 59 |
| Spatial statistics score | 78 | 38 |
| Making maps score | 74 | 84 |
| Recognising infeasible requests score | 65 | 80 |
| Cost per task | $0.093 | $0.043 |
| Time per task (at 100 output tokens/s) | 6.5 min (estimated) | 0.4 min |
| Tokens per attempt | 962k | 70k |
| Turns per attempt | 18.9 | 3.9 |
| Input price per 1M tokens | $0.15 | $2.00 |
| Output price per 1M tokens | $0.50 | $10.00 |
| Context window | 1,048,576 | 1,000,000 |
| Image input | Yes | Yes |
| Developer | Z.ai | Anthropic |
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 |
|---|---|---|
| GLM-5.3-Flash (max), Claude Code | Z.ai | 72 |
| Claude Sonnet 5.5 (low), Claude Code | Anthropic | 69 |
Cost per task
Average cost per task (USD) · Lower is better
Data table: Cost per task
| Model | Developer | Cost per task |
|---|---|---|
| Claude Sonnet 5.5 (low), Claude Code | Anthropic | $0.043 |
| GLM-5.3-Flash (max), Claude Code | Z.ai | $0.093 |
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 |
|---|---|---|
| Claude Sonnet 5.5 (low), Claude Code | Anthropic | 1k |
| GLM-5.3-Flash (max), Claude Code | Z.ai | 29k |
Frequently asked questions
Which scores higher on the Geospatial Agent Index, GLM-5.3-Flash (max), Claude Code or Claude Sonnet 5.5 (low), Claude Code?
GLM-5.3-Flash (max), Claude Code, 72 to 69.
Which is cheaper per task, GLM-5.3-Flash (max), Claude Code or Claude Sonnet 5.5 (low), Claude Code?
Claude Sonnet 5.5 (low), Claude Code, $0.043 to $0.093.
Which writes fewer output tokens per task, GLM-5.3-Flash (max), Claude Code or Claude Sonnet 5.5 (low), Claude Code?
Claude Sonnet 5.5 (low), Claude Code, 1k to 29k.
Which has the larger context window, GLM-5.3-Flash (max), Claude Code or Claude Sonnet 5.5 (low), Claude Code?
GLM-5.3-Flash (max), Claude Code, 1,048,576 tokens to 1,000,000 tokens.
More: GLM-5.3-Flash (max), Claude Code · Claude Sonnet 5.5 (low), Claude Code · All comparisons