Google vs Google

Gemini 1.0 Pro Vision Deprecated vs Gemini 2.5 Flash Vision

Compare Gemini 1.0 Pro Vision Deprecated and Gemini 2.5 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.

Gemini 1.0 Pro Vision Deprecated

Unknown N/A context 1,024 tokens output

Gemini 2.5 Flash Vision

Jun 17, 2025 1,048,576 context 65,535 tokens output

Overview ↓ Pricing ↓ Capabilities ↓ Benchmarks ↓ Community ↓ Tools ↓ Verdict ↓ FAQ ↓ Related ↓

Overview Comparison

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

Gemini 1.0 Pro Vision Deprecated

Gemini 2.5 Flash Vision

Provider

The entity that currently provides this model.

Gemini 1.0 Pro Vision Deprecated Google

Gemini 2.5 Flash Vision Google

Model ID

The routed model identifier exposed by upstream providers.

Gemini 1.0 Pro Vision Deprecated N/A

Gemini 2.5 Flash Vision N/A

Input Context Window

The number of tokens supported by the input context window.

Gemini 1.0 Pro Vision Deprecated N/A tokens

Gemini 2.5 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 1.0 Pro Vision Deprecated 1,024 tokens tokens

Gemini 2.5 Flash Vision 65,535 tokens tokens

Open Source

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

Gemini 1.0 Pro Vision Deprecated No

Gemini 2.5 Flash Vision No

Release Date

When the model was first released.

Gemini 1.0 Pro Vision Deprecated Unknown

Gemini 2.5 Flash Vision Jun 17, 2025

Knowledge Cut-off Date

When the model's knowledge was last updated.

Gemini 1.0 Pro Vision Deprecated Unknown

Gemini 2.5 Flash Vision January 2025

API Providers

The providers that currently expose the model through an API.

Gemini 1.0 Pro Vision Deprecated

Google

Gemini 2.5 Flash Vision

Google, Vertex AI

Modalities

Types of data each model can process or return.

Gemini 1.0 Pro Vision Deprecated

N/A

Gemini 2.5 Flash Vision

Text Image

Pricing Comparison

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

Gemini 1.0 Pro Vision Deprecated Google

Input price N/A Per 1M tokens

Output price N/A Per 1M tokens

Gemini 2.5 Flash Vision Google

Input price $0.30 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 1.0 Pro Vision Deprecated

Gemini 2.5 Flash Vision

Large Context Window Supports up to 1,048,576 tokens in a single context, enabling processing of long documents, extended conversations, or large batches of visual and textual content.

Gemini 1.0 Pro Vision Deprecated —

Gemini 2.5 Flash Vision Supported

Multimodal Reasoning Applies multi-step thinking across both visual and textual inputs, supporting tasks like document comprehension that combine images and text.

Gemini 1.0 Pro Vision Deprecated —

Gemini 2.5 Flash Vision Supported

Real-Time Latency Optimized for low-latency responses, making it suitable for interactive applications and real-time visual analysis workflows.

Gemini 1.0 Pro Vision Deprecated —

Gemini 2.5 Flash Vision Supported

Structured Output Can return responses in structured formats, useful for extracting data from images or documents into machine-readable outputs.

Gemini 1.0 Pro Vision Deprecated —

Gemini 2.5 Flash Vision Supported

Visual Understanding Processes image inputs alongside text to answer questions, describe scenes, extract information, or reason over visual content.

Gemini 1.0 Pro Vision Deprecated —

Gemini 2.5 Flash Vision Supported

Benchmark Comparison

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

Benchmark	Gemini 1.0 Pro Vision Deprecated	Gemini 2.5 Flash Vision
AIME 2024 American math olympiad problems	Gemini 1.0 Pro Vision Deprecated N/A	Gemini 2.5 Flash Vision 50.0%
GPQA Diamond PhD-level science questions (biology, physics, chemistry)	Gemini 1.0 Pro Vision Deprecated N/A	Gemini 2.5 Flash Vision 68.3%
HLE Questions that challenge frontier models across many domains	Gemini 1.0 Pro Vision Deprecated N/A	Gemini 2.5 Flash Vision 5.1%
LiveCodeBench Real-world coding tasks from recent competitions	Gemini 1.0 Pro Vision Deprecated N/A	Gemini 2.5 Flash Vision 49.5%
MATH-500 Undergraduate and competition-level math problems	Gemini 1.0 Pro Vision Deprecated N/A	Gemini 2.5 Flash Vision 93.2%
MMLU-Pro Expert knowledge across 14 academic disciplines	Gemini 1.0 Pro Vision Deprecated N/A	Gemini 2.5 Flash Vision 80.9%
SciCode Scientific research coding and numerical methods	Gemini 1.0 Pro Vision Deprecated N/A	Gemini 2.5 Flash Vision 29.1%

Community discussion

What Reddit discussions say about Gemini 1.0 Pro Vision Deprecated vs Gemini 2.5 Flash Vision

Gemini 1.0 Pro Vision Deprecated and Gemini 2.5 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/ChatGPTCoding. The feed below mixes discussion threads surfaced for each model so you can quickly spot where community sentiment overlaps or diverges.

Gemini 1.0 Pro Vision Deprecated r/ChatGPTCoding 1 upvotes 4 comments February 8, 2025

Not seeing Gemini 2.0 Pro Models in Google's API response.

Sorry, not specific to ChatGPT, but I could use the wisdom of the crows hete:

I've heard a ton of news about Gemini 2.0 Pro being released in AI Studio, but when my app calls for models, I get this response - the only 2.0 models are Flash variants. What am I getting wrong?

📩 Raw response from Google:
{
"models": [
{
"name": "models/gemini-1.0-pro-latest",
"version": "001",
"displayName": "Gemini 1.0 Pro Latest",
"description": "The original Gemini 1.0 Pro model. This model will be discontinued on February 15th, 2025. Move to a newer Gemini version.",
"inputTokenLimit": 30720,
"outputTokenLimit": 2048,
"supportedGenerationMethods": [
"generateContent",
"countTokens"
],
"temperature": 0.9,
"topP": 1
},
{
"name": "models/gemini-1.0-pro",
"version": "001",
"displayName": "Gemini 1.0 Pro",
"description": "The best model for scaling across a wide range of tasks",
"inputTokenLimit": 30720,
"outputTokenLimit": 2048,
"supportedGenerationMethods": [
"generateContent",
"countTokens"
],
"temperature": 0.9,
"topP": 1
},
{
"name": "models/gemini-pro",
"version": "001",
"displayName": "Gemini 1.0 Pro",
"description": "The best model for scaling across a wide range of tasks",
"inputTokenLimit": 30720,
"outputTokenLimit": 2048,
"supportedGenerationMethods": [
"generateContent",
"countTokens"
],
"temperature": 0.9,
"topP": 1
},
{
"name": "models/gemini-1.0-pro-001",
"version": "001",
"displayName": "Gemini 1.0 Pro 001 (Tuning)",
"description": "The original Gemini 1.0 Pro model version that supports tuning. Gemini 1.0 Pro will be discontinued on February 15th, 2025. Move to a newer Gemini version.",
"inputTokenLimit": 30720,
"outputTokenLimit": 2048,
"supportedGenerationMethods": [
"generateContent",
"countTokens",
"createTunedModel"
],
"temperature": 0.9,
"topP": 1
},
{
"name": "models/gemini-1.0-pro-vision-latest",
"version": "001",
"displayName": "Gemini 1.0 Pro Vision",
"description": "The original Gemini 1.0 Pro Vision model version which was optimized for image understanding. Gemini 1.0 Pro Vision was deprecated on July 12, 2024. Move to a newer Gemini version.",
"inputTokenLimit": 12288,
"outputTokenLimit": 4096,
"supportedGenerationMethods": [
"generateContent",
"countTokens"
],
"temperature": 0.4,
"topP": 1,
"topK": 32
},
{
"name": "models/gemini-pro-vision",
"version": "001",
"displayName": "Gemini 1.0 Pro Vision",
"description": "The original Gemini 1.0 Pro Vision model version which was optimized for image understanding. Gemini 1.0 Pro Vision was deprecated on July 12, 2024. Move to a newer Gemini version.",
"inputTokenLimit": 12288,
"outputTokenLimit": 4096,
"supportedGenerationMethods": [
"generateContent",
"countTokens"
],
"temperature": 0.4,
"topP": 1,
"topK": 32
},
{
"name": "models/gemini-1.5-pro-001",
"version": "001",
"displayName": "Gemini 1.5 Pro 001",
"description": "Stable version of Gemini 1.5 Pro, our mid-size multimodal model that supports up to 2 million tokens, released in May of 2024.",
"inputTokenLimit": 2000000,
"outputTokenLimit": 8192,
"supportedGenerationMethods": [
"generateContent",
"countTokens",
"createCachedContent"
],
"temperature": 1,
"topP": 0.95,
"topK": 64,
"maxTemperature": 2
},
{
"name": "models/gemini-1.5-pro-002",
"version": "002",
"displayName": "Gemini 1.5 Pro 002",
"description": "Stable version of Gemini 1.5 Pro, our mid-size multimodal model that supports up to 2 million tokens, released in September of 2024.",
"inputTokenLimit": 2000000,
"outputTokenLimit": 8192,
"supportedGenerationMethods": [
"generateContent",
"countTokens",
"createCachedContent"
],
"temperature": 1,
"topP": 0.95,
"topK": 40,
"maxTemperature": 2
},
{
"name": "models/gemini-1.5-pro",
"version": "001",
"displayName": "Gemini 1.5 Pro",
"description": "Stable version of Gemini 1.5 Pro, our mid-size multimodal model that supports up to 2 million tokens, released in May of 2024.",
"inputTokenLimit": 2000000,
"outputTokenLimit": 8192,
"supportedGenerationMethods": [
"generateContent",
"countTokens"
],
"temperature": 1,
"topP": 0.95,
"topK": 40,
"maxTemperature": 2
},
{
"name": "models/gemini-1.5-flash-001",
"version": "001",
"displayName": "Gemini 1.5 Flash 001",
"description": "Stable version of Gemini 1.5 Flash, our fast and versatile multimodal model for scaling across diverse tasks, released in May of 2024.",
"inputTokenLimit": 1000000,
"outputTokenLimit": 8192,
"supportedGenerationMethods": [
"generateContent",
"countTokens",
"createCachedContent"
],
"temperature": 1,
"topP": 0.95,
"topK": 64,
"maxTemperature": 2
},
{
"name": "models/gemini-1.5-flash-001-tuning",
"version": "001",
"displayName": "Gemini 1.5 Flash 001 Tuning",
"description": "Version of Gemini 1.5 Flash that supports tuning, our fast and versatile multimodal model for scaling across diverse tasks, released in May of 2024.",
"inputTokenLimit": 16384,
"outputTokenLimit": 8192,
"supportedGenerationMethods": [
"generateContent",
"countTokens",
"createTunedModel"
],
"temperature": 1,
"topP": 0.95,
"topK": 64,
"maxTemperature": 2
},
{
"name": "models/gemini-1.5-flash",
"version": "001",
"displayName": "Gemini 1.5 Flash",
"description": "Alias that points to the most recent stable version of Gemini 1.5 Flash, our fast and versatile multimodal model for scaling across diverse tasks.",
"inputTokenLimit": 1000000,
"outputTokenLimit": 8192,
"supportedGenerationMethods": [
"generateContent",
"countTokens"
],
"temperature": 1,
"topP": 0.95,
"topK": 40,
"maxTemperature": 2
},
{
"name": "models/gemini-1.5-flash-002",
"version": "002",
"displayName": "Gemini 1.5 Flash 002",
"description": "Stable version of Gemini 1.5 Flash, our fast and versatile multimodal model for scaling across diverse tasks, released in September of 2024.",
"inputTokenLimit": 1000000,
"outputTokenLimit": 8192,
"supportedGenerationMethods": [
"generateContent",
"countTokens",
"createCachedContent"
],
"temperature": 1,
"topP": 0.95,
"topK": 40,
"maxTemperature": 2
},
{
"name": "models/gemini-1.5-flash-8b",
"version": "001",
"displayName": "Gemini 1.5 Flash-8B",
"description": "Stable version of Gemini 1.5 Flash-8B, our smallest and most cost effective Flash model, released in October of 2024.",
"inputTokenLimit": 1000000,
"outputTokenLimit": 8192,
"supportedGenerationMethods": [
"createCachedContent",
"generateContent",
"countTokens"
],
"temperature": 1,
"topP": 0.95,
"topK": 40,
"maxTemperature": 2
},
{
"name": "models/gemini-1.5-flash-8b-001",
"version": "001",
"displayName": "Gemini 1.5 Flash-8B 001",
"description": "Stable version of Gemini 1.5 Flash-8B, our smallest and most cost effective Flash model, released in October of 2024.",
"inputTokenLimit": 1000000,
"outputTokenLimit": 8192,
"supportedGenerationMethods": [
"createCachedContent",
"generateContent",
"countTokens"
],
"temperature": 1,
"topP": 0.95,
"topK": 40,
"maxTemperature": 2
},
{
"name": "models/gemini-2.0-flash",
"version": "2.0",
"displayName": "Gemini 2.0 Flash",
"description": "Gemini 2.0 Flash",
"inputTokenLimit": 1048576,
"outputTokenLimit": 8192,
"supportedGenerationMethods": [
"generateContent",
"countTokens",
"bidiGenerateContent"
],
"temperature": 1,
"topP": 0.95,
"topK": 40,
"maxTemperature": 2
},
{
"name": "models/gemini-2.0-flash-001",
"version": "2.0",
"displayName": "Gemini 2.0 Flash 001",
"description": "Stable version of Gemini 2.0 Flash, our fast and versatile multimodal model for scaling across diverse tasks, released in January of 2025.",
"inputTokenLimit": 1048576,
"outputTokenLimit": 8192,
"supportedGenerationMethods": [
"generateContent",
"countTokens",
"bidiGenerateContent"
],
"temperature": 1,
"topP": 0.95,
"topK": 40,
"maxTemperature": 2
},
{
"name": "models/embedding-001",
"version": "001",
"displayName": "Embedding 001",
"description": "Obtain a distributed representation of a text.",
"inputTokenLimit": 2048,
"outputTokenLimit": 1,
"supportedGenerationMethods": [
"embedContent"
]
},
{
"name": "models/text-embedding-004",
"version": "004",
"displayName": "Text Embedding 004",
"description": "Obtain a distributed representation of a text.",
"inputTokenLimit": 2048,
"outputTokenLimit": 1,
"supportedGenerationMethods": [
"embedContent"
]
}
]
}

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AI tools related to Gemini 1.0 Pro Vision Deprecated vs Gemini 2.5 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.

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.

Best fit for

Gemini 1.0 Pro Vision Deprecated

Gemini 1.0 Pro Vision Deprecated is a stronger fit for general-purpose AI workloads.

Best fit for

Gemini 2.5 Flash Vision

Gemini 2.5 Flash Vision is a stronger fit for long-context workloads, cost-efficient scale, benchmark-led evaluation.

Verdict

Choose Gemini 1.0 Pro Vision Deprecated if you prioritize general-purpose AI workloads. Choose Gemini 2.5 Flash Vision if your workflow depends more on long-context workloads, cost-efficient scale, benchmark-led evaluation.

FAQ

Common questions about Gemini 1.0 Pro Vision Deprecated vs Gemini 2.5 Flash Vision

What is the main difference between Gemini 1.0 Pro Vision Deprecated and Gemini 2.5 Flash Vision?

Gemini 1.0 Pro Vision Deprecated leans toward general-purpose AI workloads, while Gemini 2.5 Flash Vision is better suited to long-context workloads, cost-efficient scale, benchmark-led evaluation.

Which model is cheaper: Gemini 1.0 Pro Vision Deprecated or Gemini 2.5 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 1.0 Pro Vision Deprecated or Gemini 2.5 Flash Vision?

Gemini 1.0 Pro Vision Deprecated is listed with a context window of N/A, while Gemini 2.5 Flash Vision is listed with 1,048,576.

How should I evaluate Gemini 1.0 Pro Vision Deprecated vs Gemini 2.5 Flash Vision for my use case?

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