The following table lists the Gemini model capabilities with ML Processing support. ML Processing is not guaranteed for capabilities not explicitly listed in the following table. These capabilities apply to Gemini 2.5 Flash, Gemini 2.5 Pro, and their future versions.
For supported regional endpoints, see data residency.
| Capability | Standard US and EU regions | Country-level regions (excluding US) | mREPs |
|---|---|---|---|
| Model-level capabilities, tools, and features | |||
| Code execution | |||
| Controllable parameters | |||
| Function calling | |||
| Structured output | |||
| System instructions | |||
| Thinking budget | |||
| Thought summaries | |||
| Platform-level capabilities, tools, and features | |||
| Batch prediction | |||
| Chat completions | |||
| Security controls | |||
| Context caching | Implicit caching only | ||
| Standard PayGo (without usage tiers) | |||
| Standard PayGo with Usage Tiers | |||
| Priority PayGo | |||
| Flex PayGo | |||
| Provisioned Throughput | |||
| Single Zone PT (SZPT) | |||
| Grounding with Agent Platform Search | |||
| Agent Platform RAG Engine | Restricted | Restricted | |
For instructions on disabling unsupported capabilities in Gemini Enterprise Agent Platform, see organization policy constraints.
What's next
- To quickly get started with Gemini, see Try a quickstart tutorial.
- To improve model performance by customizing models, see Tune models.
- To learn about regional data handling, see Data residency.
- To understand how to secure your generative AI applications, see Security controls.
- To discover and explore various models, see Explore models in Model
Garden.