DeepSeek V4.1 Flash (max), Codex vs. GPT-5.6 Luna (medium), Codex
DeepSeek V4.1 Flash (max), Codex against GPT-5.6 Luna (medium), Codex: Geospatial Agent Index, each evaluation, cost, time and tokens, on the same tasks and limits. Methodology.
Side by side
| Metric | DeepSeek V4.1 Flash (max), Codex | GPT-5.6 Luna (medium), Codex |
|---|---|---|
| Geospatial Agent Index: Text only | 71 | 66 |
| Geospatial Agent Index: Text + vision | 73 | 67 |
| Earth-Bench V2 score | 66 | 56 |
| GeoBenchX score | 56 | 63 |
| GS-QA2 score | 89 | 80 |
| Vision agents score | 80 | 69 |
| GeoAgentBench score (Guided workflows; not in the Agent Index) | 90 | 98 |
| GeoAnalystBench score (Guided workflows; not in the Agent Index) | 88 | 100 |
| 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 | 83 | 77 |
| GIS analysis score | 90 | 76 |
| Climate and time series score | 58 | 54 |
| Spatial statistics score | 46 | 38 |
| Making maps score | 72 | 79 |
| Recognising infeasible requests score | 41 | 47 |
| Cost per task | $0.067 | $0.0094 |
| Time per task (at 100 output tokens/s) | 8.6 min | 0.8 min |
| Tokens per attempt | 1.17M | 140k |
| Turns per attempt | 23.4 | 9.4 |
| Input price per 1M tokens | $0.30 | $0.20 |
| Output price per 1M tokens | $1.20 | $1.20 |
| Context window | 1,048,576 | 1,050,000 |
| Image input | Yes | Yes |
| Developer | Other | OpenAI |
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 |
|---|---|---|
| DeepSeek V4.1 Flash (max), Codex | Other | 71 |
| GPT-5.6 Luna (medium), Codex | OpenAI | 66 |
Cost per task
Average cost per task (USD) · Lower is better
Data table: Cost per task
| Model | Developer | Cost per task |
|---|---|---|
| GPT-5.6 Luna (medium), Codex | OpenAI | $0.0094 |
| DeepSeek V4.1 Flash (max), Codex | Other | $0.067 |
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 |
|---|---|---|
| GPT-5.6 Luna (medium), Codex | OpenAI | 3k |
| DeepSeek V4.1 Flash (max), Codex | Other | 38k |
Frequently asked questions
Which scores higher on the Geospatial Agent Index, DeepSeek V4.1 Flash (max), Codex or GPT-5.6 Luna (medium), Codex?
DeepSeek V4.1 Flash (max), Codex, 71 to 66.
Which is cheaper per task, DeepSeek V4.1 Flash (max), Codex or GPT-5.6 Luna (medium), Codex?
GPT-5.6 Luna (medium), Codex, $0.0094 to $0.067.
Which writes fewer output tokens per task, DeepSeek V4.1 Flash (max), Codex or GPT-5.6 Luna (medium), Codex?
GPT-5.6 Luna (medium), Codex, 3k to 38k.
Which has the larger context window, DeepSeek V4.1 Flash (max), Codex or GPT-5.6 Luna (medium), Codex?
GPT-5.6 Luna (medium), Codex, 1,050,000 tokens to 1,048,576 tokens.
More: DeepSeek V4.1 Flash (max), Codex · GPT-5.6 Luna (medium), Codex · All comparisons