Jun 17, 2025
1,048,576 context
65,536 tokens output
Google
vs
Google
Gemini 2.5 Pro Vision vs Gemini 2.5 Pro
Compare Gemini 2.5 Pro Vision and Gemini 2.5 Pro across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.
Jun 17, 2025
1,048,576 context
65,536 tokens output
Overview Comparison
Structured side-by-side differences for the highest-signal model metadata.
Gemini 2.5 Pro Vision
Gemini 2.5 Pro
Provider
The entity that currently provides this model.
Gemini 2.5 Pro Vision
Google
Gemini 2.5 Pro
Google
Model ID
The routed model identifier exposed by upstream providers.
Gemini 2.5 Pro Vision
N/A
Gemini 2.5 Pro
google/gemini-2.5-pro
Input Context Window
The number of tokens supported by the input context window.
Gemini 2.5 Pro Vision
1,048,576
tokens
Gemini 2.5 Pro
1,048,576
tokens
Maximum Output Tokens
The number of tokens that can be generated by the model in a single request.
Gemini 2.5 Pro Vision
65,536 tokens
tokens
Gemini 2.5 Pro
65,536 tokens
tokens
Open Source
Whether the model's code is available for public use.
Gemini 2.5 Pro Vision
No
Gemini 2.5 Pro
No
Release Date
When the model was first released.
Gemini 2.5 Pro Vision
Jun 17, 2025
Gemini 2.5 Pro
Jun 17, 2025
Knowledge Cut-off Date
When the model's knowledge was last updated.
Gemini 2.5 Pro Vision
June 2025
Gemini 2.5 Pro
2025-01-31
API Providers
The providers that currently expose the model through an API.
Gemini 2.5 Pro Vision
Google, Vertex AI, Gemini API
Gemini 2.5 Pro
Google, Gemini API
Modalities
Types of data each model can process or return.
Gemini 2.5 Pro Vision
Text
Image
Video
Audio
Code
Gemini 2.5 Pro
Text
Image
File
Audio
Video
Code
Pricing Comparison
Compare current token pricing before you choose the cheaper or more scalable API option.
Gemini 2.5 Pro Vision
Google
Input price
$1.25
Per 1M tokens
Output price
N/A
Per 1M tokens
Gemini 2.5 Pro
Google
Input price
$1.25
Per 1M tokens
Output price
$10.00
Per 1M tokens
Capabilities Comparison
See where each model overlaps, where they differ, and which one supports more of the features you care about.
Capability
Gemini 2.5 Pro Vision
Gemini 2.5 Pro
Code Generation
Generates and analyzes code across multiple languages, achieving 63.8% on the SWE-Bench Verified benchmark for software engineering tasks.
Gemini 2.5 Pro Vision
Supported
Gemini 2.5 Pro
Supported
Extended Context Window
Processes up to 1,048,576 tokens in a single request, allowing entire codebases, long documents, or extended conversations to be handled without truncation.
Gemini 2.5 Pro Vision
Supported
Gemini 2.5 Pro
Supported
File
Gemini 2.5 Pro Vision
—
Gemini 2.5 Pro
Supported
Image
Gemini 2.5 Pro Vision
—
Gemini 2.5 Pro
Supported
Math and STEM Analysis
Handles complex mathematical reasoning and science problems, with benchmark performance cited across math and science evaluation suites.
Gemini 2.5 Pro Vision
—
Gemini 2.5 Pro
Supported
Math and Science Tasks
Applies logical and quantitative reasoning to solve problems in mathematics and science, with benchmark results reflecting strong performance in these domains.
Gemini 2.5 Pro Vision
Supported
Gemini 2.5 Pro
—
Multimodal Input
Accepts text, images, audio, video, and code as inputs within the same request, enabling cross-modal analysis and generation.
Gemini 2.5 Pro Vision
Supported
Gemini 2.5 Pro
Supported
Reasoning
Gemini 2.5 Pro Vision
—
Gemini 2.5 Pro
Supported
Structured Output
Gemini 2.5 Pro Vision
—
Gemini 2.5 Pro
Supported
Structured Reasoning
Uses a chain-of-thought approach to work through multi-step problems before producing a final answer, improving accuracy on complex tasks.
Gemini 2.5 Pro Vision
Supported
Gemini 2.5 Pro
Supported
Text
Gemini 2.5 Pro Vision
—
Gemini 2.5 Pro
Supported
Tool Use
Supports function calling and external tool integration, allowing the model to invoke defined tools and return structured results as part of a response.
Gemini 2.5 Pro Vision
—
Gemini 2.5 Pro
Supported
Tools
Gemini 2.5 Pro Vision
—
Gemini 2.5 Pro
Supported
Video
Gemini 2.5 Pro Vision
—
Gemini 2.5 Pro
Supported
Visual Understanding
Interprets and reasons over images and video frames, supporting use cases like diagram analysis, chart reading, and image-based question answering.
Gemini 2.5 Pro Vision
Supported
Gemini 2.5 Pro
—
Benchmark Comparison
Shared benchmark rows make it easier to compare performance where both models have published scores.
| Benchmark | Gemini 2.5 Pro Vision | Gemini 2.5 Pro |
|---|---|---|
|
AIME 2024
American math olympiad problems
|
||
|
GPQA Diamond
PhD-level science questions (biology, physics, chemistry)
|
||
|
HLE
Questions that challenge frontier models across many domains
|
||
|
LiveCodeBench
Real-world coding tasks from recent competitions
|
||
|
MATH-500
Undergraduate and competition-level math problems
|
||
|
MMLU-Pro
Expert knowledge across 14 academic disciplines
|
||
|
SciCode
Scientific research coding and numerical methods
|
Community discussion
What Reddit discussions say about Gemini 2.5 Pro Vision vs Gemini 2.5 Pro
Gemini 2.5 Pro Vision and Gemini 2.5 Pro are both surfacing live Reddit discussions, giving this comparison a community layer beyond specs and benchmarks.
The most visible threads right now are clustered in r/singularity, r/Bard, r/LocalLLaMA.
Why am I not paying like 200 bucks per month for it? It is the best model ever and destroys any of open ai's models. It feels illegal. Doesn't make sense. Free in ai studio + Best model ever. I love GOOGLE (especially Logan).
I just saw this update drop on X from Google AI Studio. They benchmarked **Gemini 3 Pro** against **Gemini 2.5 Pro** on a full run of **Pokémon Crystal** (which is significantly longer/harder than the standard Pokemon Red benchmark).
**The Results:**
**Completion:** It obtained all 16 badges and defeated the hidden boss Red (the hardest challenge in the game).
**Efficiency:** It accomplished this using **roughly half the tokens and turns** of the previous model (2.5 Pro).
This is a huge signal for **Agentic Efficiency.** Halving the token usage for a long-horizon task means the model isn't just **faster** ,it's making better decisions with less "flailing" or trial and error. It implies a massive jump in planning capability.
**Source: Google Ai studio( X article)**
🔗: https://x.com/i/status/2000649586847985985
AI tools related to Gemini 2.5 Pro Vision vs Gemini 2.5 Pro
These tools are closely connected to one or both models in this comparison and can help you evaluate real-world fit.
Large Language Models (LLMs)
googlegemini.co
googlegemini.co is a free tool for interacting with text and images, powered by the Google Gemini Pro API. It allows you to use Gemini easily without managing your own server or API configurations. Google Gemini is a multimodal AI developed by DeepMind capable of processing text, audio, images, and more. It is optimized for various devices, performs well on AI benchmarks, and is built with a focus on safety and responsible AI practices.
Free
0 visits
2 saves
AI Assistant
GeminiGoogle.cc
GeminiGoogle.cc is a platform dedicated to showcasing Google's most advanced AI model, Gemini. Built for native multimodality, Gemini reasons across text, images, video, audio, and code. It is available in three versions—Ultra, Pro, and Nano—to support tasks ranging from complex reasoning to on-device efficiency. The site highlights Gemini's performance, including its MMLU benchmarks, and provides examples of its capabilities in image generation, problem-solving, and multimodal analysis.
Free
0 visits
2 saves
AI Summarizer
Summarize and Translate Web Pages - Chrome Extension
The Summarize and Translate Web Pages Chrome extension enables you to summarize and translate web content with a single click. Powered by Google's Gemini AI, this tool provides high-quality summaries and translations for web pages, selected text, YouTube video captions, images, and PDF files.
Free
AI Assistant
Gemini Chat Assistant Sidebar - Chrome Extension
The Gemini Chat Assistant Sidebar is a Chrome extension that functions as an AI assistant, similar to Microsoft Edge's Copilot, to improve your browsing experience. It enables you to chat with the Gemini AI model, analyze webpage content with one click, and request summaries or other intelligent tasks. The tool supports ongoing dialogue based on the content you process.
Free
Which model should you choose?
Use the summary below to decide which model better fits your workflow, budget, and feature requirements.
Gemini 2.5 Pro Vision
Gemini 2.5 Pro Vision is a stronger fit for long-context workloads, benchmark-led evaluation.
Gemini 2.5 Pro
Gemini 2.5 Pro is a stronger fit for long-context workloads, reasoning-heavy tasks, tool-augmented workflows.
Verdict
Choose Gemini 2.5 Pro Vision if you prioritize long-context workloads, benchmark-led evaluation. Choose Gemini 2.5 Pro if your workflow depends more on long-context workloads, reasoning-heavy tasks, tool-augmented workflows.
FAQ
Common questions about Gemini 2.5 Pro Vision vs Gemini 2.5 Pro
What is the main difference between Gemini 2.5 Pro Vision and Gemini 2.5 Pro?
Gemini 2.5 Pro Vision leans toward long-context workloads, benchmark-led evaluation, while Gemini 2.5 Pro is better suited to long-context workloads, reasoning-heavy tasks, tool-augmented workflows.
Which model is cheaper: Gemini 2.5 Pro Vision or Gemini 2.5 Pro?
Gemini 2.5 Pro Vision and Gemini 2.5 Pro currently share the same published input price of $1.2500 per 1M input tokens.
Which model has the larger context window: Gemini 2.5 Pro Vision or Gemini 2.5 Pro?
Gemini 2.5 Pro Vision is listed with a context window of 1,048,576, while Gemini 2.5 Pro is listed with 1,048,576.
How should I evaluate Gemini 2.5 Pro Vision vs Gemini 2.5 Pro for my use case?
This comparison currently includes 7 shared benchmark rows, helping you compare practical performance across overlapping evaluations.