Codex – DeepSeek V4 Pro (high) vs. Kimi Code – Kimi K2.6 (always on): geospatial agent comparison
Comparison between Codex – DeepSeek V4 Pro (high) and Kimi Code – Kimi K2.6 (always on) on the Geospatial Agent Index, each benchmark, cost, time and token use, from the same tasks, agent and limits. Methodology.
Side by side
| Metric | Codex – DeepSeek V4 Pro (high) | Kimi Code – Kimi K2.6 (always on) |
|---|---|---|
| Geospatial Agent Index | 40* (partial: attempt 1 on 48 of 565 tasks) | 48* (partial: attempt 1 on 237 of 565 tasks) |
| Earth-Bench V2 score | 50 | 44 |
| GeoBenchX score | 29 | 51 |
| GS-QA2 score | No data | No data |
| GeoAgentBench score (guided GIS workflow; outside the index) | No data | No data |
| GeoAnalystBench score (guided GIS workflow; outside the index) | No data | No data |
| Raster and remote sensing score | 55 | 47 |
| Vector and overlay score | No data | 17 |
| Networks and routing score | No data | No data |
| Climate and time series score | 0 | 48 |
| Spatial statistics and interpolation score | 0 | 67 |
| Mapping and cartography score | No data | 83 |
| Recognising infeasible requests score | 26 | 43 |
| Cost per task | $0.745 | $0.300 |
| Time per task | 12.8 min | 13.1 min |
| Tokens per attempt | 852k | 1.14M |
| Turns per attempt | 24.6 | No data |
| Attempts decided | 32 | 181 |
| Input price per 1M tokens | $1.32 | $0.95 |
| Output price per 1M tokens | $3.96 | $4.00 |
| Context window | 1,048,576 | 262,144 |
| Image input | No | Yes |
| Developer | DeepSeek | Moonshot AI |
Charts
Partial coverage. Codex – DeepSeek V4 Pro (high): 8 of 147 Earth-Bench V2 tasks; 40 of 173 GeoBenchX tasks; GS-QA2 incomplete; Kimi Code – Kimi K2.6 (always on): 64 of 147 Earth-Bench V2 tasks; GS-QA2 being added. Grey placeholders identify these entries in the index, cost and output token charts; their height does not represent a value. Comparable bars appear when first-attempt coverage is complete. Their available results remain in the side-by-side table.
Geospatial Agent Index
Equal-weight average of the evaluation scores, 0 to 100 · Higher is better
First eight selected entries in metric order. Full results in table view.
Data table: Geospatial Agent Index
| Model | Creator | Geospatial Agent Index | Range while attempts are pending | Benchmarks covered | Coverage (attempts) |
|---|
Cost per task
Average cost per task (USD) · Lower is better
First eight selected entries in metric order. Full results in table view.
How to read this chart
Not shown: partial coverage. Codex – DeepSeek V4 Pro (high), Kimi Code – Kimi K2.6 (always on).
Data table: Cost per task
| Model | Creator | Cost per task | Coverage (attempts) |
|---|
Output tokens per task
Average output tokens per attempt, reasoning included · Lower is better
First eight selected entries in metric order. Full results in table view.
How to read this chart
Not shown: partial coverage. Codex – DeepSeek V4 Pro (high), Kimi Code – Kimi K2.6 (always on).
Data table: Output tokens per task
| Model | Creator | Output tokens per task | Coverage (attempts) |
|---|
Frequently asked questions
Which scores higher on the Geospatial Agent Index, Codex – DeepSeek V4 Pro (high) or Kimi Code – Kimi K2.6 (always on)?
Which is cheaper per task, Codex – DeepSeek V4 Pro (high) or Kimi Code – Kimi K2.6 (always on)?
Which writes fewer output tokens per task, Codex – DeepSeek V4 Pro (high) or Kimi Code – Kimi K2.6 (always on)?
Which has the larger context window, Codex – DeepSeek V4 Pro (high) or Kimi Code – Kimi K2.6 (always on)?
More: Codex – DeepSeek V4 Pro (high) · Kimi Code – Kimi K2.6 (always on) · all comparisons