Which AI model is best for your geospatial work?
We benchmark 30+ AI models on real GIS and Earth observation tasks and publish the scores, costs and failures. Then we evaluate them on your own tasks, so you can choose the right one.
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The top model is rarely the one you need.
We benchmark 30+ AI models on the same geospatial tasks. The best one is not always the one to use. A model nearly as good costs about a third as much per task. An open-weights model you can run on your own servers scores 77 of 100 for about a quarter the cost. Which is right depends on your work.
- Claude Opus 5.5Best overall89 of 1001×reference
- GPT-6 SolNearly as good, for less85 of 100About a thirdof the best model’s cost
- GPT-6 LunaCheapest strong model80 of 100About 1/36of the best model’s cost
- DeepSeek V4 FlashBest-value open-weights model. You can run it on your own servers77 of 100About a quarterof the best model’s cost
From the benchmark to your work
Evaluate models on your own tasks
We run the models on tasks from your work, with your data, under the same checks as Arena. You get the score, cost per task and failures for each. The results are yours and never appear in Arena.
Deploy the model you choose
We set up the model where your team works: how it is run, which tools it can use and how much it is allowed to think, matched to your budget.
We also build spatial AI systems on your data, and move desktop GIS work to the cloud with axis-migrate.
Choose a model on your own tasks.
Send us one task your team does today and the data it uses. We evaluate the models on it and send back the score, cost per task and failures for each.
Work with us