Gemini 2.5 Pro is a Google model tracked in Agent Serve. It supports a 1.05M token context window. Pricing starts at $1.25/1M input tokens and $10/1M output tokens. Key capabilities include Temperature 0-2, Tool choice, Structured outputs. Best for reasoning-heavy tasks that need more deliberate model control.
Best forBest for reasoning-heavy tasks that need more deliberate model control.
Temperature0 to 2
Reasoning effortNot supported
VerbosityNot supported
Thinking levelslow, medium, high (default: high)
Structured outputsSupported
Tool choiceSupported
Computer useNot supported
Deep researchNot supported
Memory supportSupported
Max output tokens66k
Frequently asked questions
Gemini 2.5 Pro is a Google model available in Agent Serve. Gemini 2.5 Pro is a Google model tracked in Agent Serve. It supports a 1.05M token context window. Pricing starts at $1.25/1M input tokens and $10/1M output tokens. Key capabilities include Temperature 0-2, Tool choice, Structured outputs.
Gemini 2.5 Pro starts at $1.25/1M input tokens, $0.125/1M cached input tokens, and $10/1M output tokens. Above 200k input tokens, the full request is priced at $2.5/1M input tokens, $0.25/1M cached input tokens, and $15/1M output tokens.
Gemini 2.5 Pro supports a context window of 1.05M tokens in Agent Serve. In an agent, this determines how much conversation history, tool outputs, and retrieved documents the model can hold in a single call.
Gemini 2.5 Pro supports the following capabilities in Agent Serve: Temperature 0-2, Tool choice, Structured outputs, Thinking low, medium, high, Max output 66k.
Best for reasoning-heavy tasks that need more deliberate model control. When used in an Agent Serve workflow, it can be selected in any Agent block from the model picker.
