Google vs Google

Gemini 1.5 Pro Vision Deprecated vs Gemini 2.0 Flash Vision

Compare Gemini 1.5 Pro Vision Deprecated and Gemini 2.0 Flash Vision across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for general-purpose AI workloads versus long-context workloads.

Overview Comparison

Structured side-by-side differences for the highest-signal model metadata.

Gemini 1.5 Pro Vision Deprecated
Gemini 2.0 Flash Vision

Provider

The entity that currently provides this model.

Gemini 1.5 Pro Vision Deprecated Google
Gemini 2.0 Flash Vision Google

Model ID

The routed model identifier exposed by upstream providers.

Gemini 1.5 Pro Vision Deprecated N/A
Gemini 2.0 Flash Vision N/A

Input Context Window

The number of tokens supported by the input context window.

Gemini 1.5 Pro Vision Deprecated N/A tokens
Gemini 2.0 Flash Vision 1,048,576 tokens

Maximum Output Tokens

The number of tokens that can be generated by the model in a single request.

Gemini 1.5 Pro Vision Deprecated 8,192 tokens tokens
Gemini 2.0 Flash Vision 8,192 tokens tokens

Open Source

Whether the model's code is available for public use.

Gemini 1.5 Pro Vision Deprecated No
Gemini 2.0 Flash Vision No

Release Date

When the model was first released.

Gemini 1.5 Pro Vision Deprecated Unknown
Gemini 2.0 Flash Vision Feb 05, 2025

Knowledge Cut-off Date

When the model's knowledge was last updated.

Gemini 1.5 Pro Vision Deprecated Unknown
Gemini 2.0 Flash Vision June 2024

API Providers

The providers that currently expose the model through an API.

Gemini 1.5 Pro Vision Deprecated
Google
Gemini 2.0 Flash Vision
Google, Vertex AI

Modalities

Types of data each model can process or return.

Gemini 1.5 Pro Vision Deprecated
N/A
Gemini 2.0 Flash Vision
Text Image

Pricing Comparison

Compare current token pricing before you choose the cheaper or more scalable API option.

Gemini 1.5 Pro Vision Deprecated Google
Input price N/A Per 1M tokens
Output price N/A Per 1M tokens
Gemini 2.0 Flash Vision Google
Input price $0.15 Per 1M tokens
Output price N/A 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 1.5 Pro Vision Deprecated
Gemini 2.0 Flash Vision
Built-in Tool Use Supports native tool-calling capabilities, enabling the model to invoke external functions or APIs as part of its response generation.
Gemini 1.5 Pro Vision Deprecated
Gemini 2.0 Flash Vision Supported
Fast Inference Optimized for low-latency responses within the Gemini 2.0 Flash family, making it suitable for real-time or high-throughput applications.
Gemini 1.5 Pro Vision Deprecated
Gemini 2.0 Flash Vision Supported
Image Understanding Analyzes and reasons over image inputs alongside text, enabling tasks like visual question answering and image-based document analysis.
Gemini 1.5 Pro Vision Deprecated
Gemini 2.0 Flash Vision Supported
Long Context Window Supports up to 1,048,576 tokens in a single context, allowing processing of lengthy documents, multi-image inputs, or extended conversations.
Gemini 1.5 Pro Vision Deprecated
Gemini 2.0 Flash Vision Supported
Multimodal Generation Generates responses that draw on multiple input modalities, combining text and visual understanding in a single inference pass.
Gemini 1.5 Pro Vision Deprecated
Gemini 2.0 Flash Vision Supported
Structured Output Can return responses in structured formats, supporting downstream data extraction and integration workflows.
Gemini 1.5 Pro Vision Deprecated
Gemini 2.0 Flash Vision Supported

Benchmark Comparison

Shared benchmark rows make it easier to compare performance where both models have published scores.

Benchmark Gemini 1.5 Pro Vision Deprecated Gemini 2.0 Flash Vision
AIME 2024
American math olympiad problems
Gemini 1.5 Pro Vision Deprecated N/A
Gemini 2.0 Flash Vision 33.0%
GPQA Diamond
PhD-level science questions (biology, physics, chemistry)
Gemini 1.5 Pro Vision Deprecated N/A
Gemini 2.0 Flash Vision 62.3%
HLE
Questions that challenge frontier models across many domains
Gemini 1.5 Pro Vision Deprecated N/A
Gemini 2.0 Flash Vision 5.3%
LiveCodeBench
Real-world coding tasks from recent competitions
Gemini 1.5 Pro Vision Deprecated N/A
Gemini 2.0 Flash Vision 33.4%
MATH-500
Undergraduate and competition-level math problems
Gemini 1.5 Pro Vision Deprecated N/A
Gemini 2.0 Flash Vision 93.0%
MMLU-Pro
Expert knowledge across 14 academic disciplines
Gemini 1.5 Pro Vision Deprecated N/A
Gemini 2.0 Flash Vision 77.9%
SciCode
Scientific research coding and numerical methods
Gemini 1.5 Pro Vision Deprecated N/A
Gemini 2.0 Flash Vision 33.3%
Community discussion

What Reddit discussions say about Gemini 1.5 Pro Vision Deprecated vs Gemini 2.0 Flash Vision

Gemini 1.5 Pro Vision Deprecated and Gemini 2.0 Flash Vision 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/GoogleGeminiAI. The feed below mixes discussion threads surfaced for each model so you can quickly spot where community sentiment overlaps or diverges.

Gemini 2.0 Flash Vision r/GoogleGeminiAI 4 comments January 3, 2026
Testing Gemini 2.0 Flash vision capabilities on curved text (OCR Latency Test)

I've been experimenting with the new **Gemini 2.0 Flash API** to see if it can handle real-time OCR on difficult surfaces (like curved bottles or crinkled food wrappers).

I hooked it up to a simple Streamlit UI to test the latency.

**My Findings:**

* **Speed:** It is significantly faster than GPT-4o for this specific vision task (returns analysis in \~2 seconds).
* **Hallucinations:** It seems to be much better at reading small "legal text" on ingredient lists without making things up.

I built a little tool called "LabelLens" to stress-test it against Ayurvedic ingredient lists.

Has anyone else noticed better OCR performance with Flash 2.0 vs 1.5 Pro? The speed difference feels massive.

Open Reddit thread
View more discussions →

AI tools related to Gemini 1.5 Pro Vision Deprecated vs Gemini 2.0 Flash Vision

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.

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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

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
Large Language Models (LLMs)

FlyMSG - Chrome Extension

FlyMSG is a free AI-powered Chrome extension designed to enhance productivity through text expansion, autofill, and keyboard shortcuts. It features FlyPosts AI for social media content generation and FlyEngage AI for LinkedIn interaction. Built on Microsoft Azure OpenAI (GPT-4, GPT-3, and GPT-3.5) and Google AI PaLM 2, the extension automates repetitive typing tasks and provides instant access to pre-written templates.

Free 1 saves

Which model should you choose?

Use the summary below to decide which model better fits your workflow, budget, and feature requirements.

Best fit for

Gemini 1.5 Pro Vision Deprecated

Gemini 1.5 Pro Vision Deprecated is a stronger fit for general-purpose AI workloads.

Best fit for

Gemini 2.0 Flash Vision

Gemini 2.0 Flash Vision is a stronger fit for long-context workloads, cost-efficient scale, benchmark-led evaluation.

Verdict

Choose Gemini 1.5 Pro Vision Deprecated if you prioritize general-purpose AI workloads. Choose Gemini 2.0 Flash Vision if your workflow depends more on long-context workloads, cost-efficient scale, benchmark-led evaluation.

FAQ

Common questions about Gemini 1.5 Pro Vision Deprecated vs Gemini 2.0 Flash Vision

What is the main difference between Gemini 1.5 Pro Vision Deprecated and Gemini 2.0 Flash Vision?

Gemini 1.5 Pro Vision Deprecated leans toward general-purpose AI workloads, while Gemini 2.0 Flash Vision is better suited to long-context workloads, cost-efficient scale, benchmark-led evaluation.

Which model is cheaper: Gemini 1.5 Pro Vision Deprecated or Gemini 2.0 Flash Vision?

Review both models' current pricing on this page to decide which option is more cost-effective.

Which model has the larger context window: Gemini 1.5 Pro Vision Deprecated or Gemini 2.0 Flash Vision?

Gemini 1.5 Pro Vision Deprecated is listed with a context window of N/A, while Gemini 2.0 Flash Vision is listed with 1,048,576.

How should I evaluate Gemini 1.5 Pro Vision Deprecated vs Gemini 2.0 Flash Vision for my use case?

This comparison currently includes 7 shared benchmark rows, helping you compare practical performance across overlapping evaluations.