Gemini 2.5 Pro
Gemini 2.5 Pro is Google's flagship multimodal model with a 1,000,000-token context window and built-in reasoning capabilities.
GoogleLarge context reasoning with multimodal inputs
Gemini 2.5 Pro is a multimodal vision model developed by Google, released in June 2025. It accepts text and image inputs and supports a context window of up to one million tokens, allowing it to process very long documents, codebases, or mixed-media inputs within a single request. The model includes a configurable thinking budget, which lets developers control how much internal reasoning the model applies before generating a response.
Gemini 2.5 Pro is suited for tasks that require sustained reasoning across large amounts of context, such as analyzing lengthy documents, working through multi-step coding problems, or handling complex question-answering workflows. It supports tool use, making it compatible with agentic setups where the model needs to call external functions or APIs. The model is available as a first-party Google offering through the Gemini API and is accessible on MindStudio without requiring separate API key configuration.
What Gemini 2.5 Pro supports
Extended Context Window
Processes up to 1,000,000 tokens in a single request, enabling analysis of long documents, large codebases, or extended conversation histories.
Configurable Reasoning
Supports a Thinking Budget input that lets developers set how much internal reasoning the model performs before producing a response, with a numeric limit control.
Image Understanding
Accepts image inputs alongside text, supporting tasks like visual question answering, document parsing, and image-based reasoning.
Tool Use
Supports function calling and external tool integration, enabling agentic workflows where the model invokes APIs or structured actions during a task.
Priority Mode
Includes a Priority Mode selector that allows developers to tune the model's behavior toward speed or quality depending on the use case.
Large Response Output
Supports a maximum response size of 64,000 tokens, accommodating long-form generated content such as reports, code files, or detailed analyses.
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Get Started FreeBenchmark scores
Scores represent accuracy — the percentage of questions answered correctly on each test.
| Benchmark | What it tests | Score |
|---|---|---|
| MMLU-Pro | Expert knowledge across 14 academic disciplines | 86.2% |
| GPQA Diamond | PhD-level science questions (biology, physics, chemistry) | 84.4% |
| MATH-500 | Undergraduate and competition-level math problems | 96.7% |
| AIME 2024 | American math olympiad problems | 88.7% |
| LiveCodeBench | Real-world coding tasks from recent competitions | 80.1% |
| HLE | Questions that challenge frontier models across many domains | 21.1% |
| SciCode | Scientific research coding and numerical methods | 42.8% |
Common questions about Gemini 2.5 Pro
What is the context window size for Gemini 2.5 Pro?
Gemini 2.5 Pro has a context window of 1,000,000 tokens, which means it can process up to one million tokens of combined input in a single request.
What is the maximum response length?
The model supports a maximum response size of 64,000 tokens per output, which accommodates lengthy generated content like detailed reports or large code files.
Does Gemini 2.5 Pro support image inputs?
Yes. Gemini 2.5 Pro is classified as a vision model and accepts image inputs alongside text, making it suitable for multimodal tasks.
What is the Thinking Budget and how does it work?
The Thinking Budget is a configurable input that controls how much internal reasoning the model performs before generating a response. A numeric Thinking Budget Limit can also be set to cap the amount of reasoning computation used.
What does pricing look like for Gemini 2.5 Pro on MindStudio?
Published pricing details are not included in the current metadata. You can check the Gemini API documentation at ai.google.dev for the latest pricing information, or refer to MindStudio's platform pricing page.
When was Gemini 2.5 Pro released?
Gemini 2.5 Pro was released in June 2025 and was added to the MindStudio model catalog on April 7, 2025 as an early-access listing.
What people think about Gemini 2.5 Pro
Community sentiment around Gemini 2.5 Pro is largely positive, with users frequently highlighting its coding capabilities, including examples of it generating a functional Minecraft clone from a simple prompt. Threads on r/singularity received hundreds of upvotes, reflecting broad interest in its practical creative and engineering applications.
Some discussion centers on token efficiency, with a later benchmark noting that a subsequent model completed an agentic task using 50% fewer tokens than Gemini 2.5 Pro. Users also noted its availability to free-tier users as a notable accessibility development.
Google just dropped a new Agentic Benchmark: Gemini 3 Pro beat Pokémon Crystal (defeating Red) using 50% fewer tokens than Gemini 2.5 Pro.
Google's latest model, Gemini 2.5 Pro is Amazing! It created this Awesome Minecraft clone!
Google is surprisingly rolling out Gemini 2.5 Pro (exp) to free users
Parameters & options
Must be less than Max Response Size
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