Gemini 2.5 Pro Vision
Gemini 2.5 Pro Vision is Google's multimodal model supporting up to 1,048,576 tokens of context for vision and reasoning tasks.
Multimodal reasoning with massive context window
Gemini 2.5 Pro Vision is a multimodal model developed by Google, released in June 2025. It accepts visual and text inputs and is designed to handle tasks that require understanding images alongside large volumes of text. The model operates under the full Gemini 2.5 Pro architecture and is available as a first-party offering through Google's infrastructure.
One of the model's defining characteristics is its context window of 1,048,576 tokens, which allows it to process extensive documents, long conversations, or large amounts of mixed content in a single request. It supports a maximum response size of 65,536 tokens and is tagged for reasoning and multimodal use cases. It is well suited for tasks such as document analysis with embedded images, visual question answering, and workflows that combine structured reasoning with image interpretation.
What Gemini 2.5 Pro Vision supports
Large Context Window
Processes up to 1,048,576 tokens in a single request, enabling analysis of lengthy documents, extended conversations, or large mixed-content inputs without truncation.
Visual Understanding
Accepts image inputs alongside text, supporting tasks like visual question answering, image description, and document analysis with embedded visuals.
Advanced Reasoning
Applies multi-step reasoning across text and visual content, making it suitable for complex analytical tasks that require drawing inferences from multiple input types.
Multimodal Input
Combines text and image modalities in a single prompt, allowing workflows that require joint understanding of visual and textual information.
Configurable Temperature
Exposes a temperature parameter so developers can tune output randomness, adjusting the model's behavior from deterministic to more varied responses.
Response Token Control
Supports a configurable max response token limit up to 65,536 tokens, giving developers control over output length for different application needs.
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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 Vision
What is the context window size for Gemini 2.5 Pro Vision?
Gemini 2.5 Pro Vision has a context window of 1,048,576 tokens, allowing it to process very large amounts of text and image content in a single request.
What is the maximum response size this model can produce?
The model supports a maximum response size of 65,536 tokens per request.
What types of inputs does Gemini 2.5 Pro Vision accept?
The model is classified as a vision and multimodal model, accepting both text and image inputs. Configurable inputs include temperature and max response tokens.
Who publishes Gemini 2.5 Pro Vision and when was it released?
Gemini 2.5 Pro Vision is published by Google and was released in June 2025. It is provided as a first-party model.
Is pricing information available for this model?
Published pricing is not listed in the available metadata. You should consult Google's official pricing pages or the MindStudio platform for current cost details.
What is the knowledge cutoff date for Gemini 2.5 Pro Vision?
A specific knowledge cutoff date is not included in the available metadata. Google's official documentation for Gemini 2.5 Pro is the recommended source for this information.
Parameters & options
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