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Gemini 2.0 Flash-Lite Vision vs Gemini 1.5 Flash Deprecated

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

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

Overview Comparison

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

Gemini 2.0 Flash-Lite Vision
Gemini 1.5 Flash Deprecated

Provider

The entity that currently provides this model.

Gemini 2.0 Flash-Lite Vision Google
Gemini 1.5 Flash Deprecated Google

Model ID

The routed model identifier exposed by upstream providers.

Gemini 2.0 Flash-Lite Vision N/A
Gemini 1.5 Flash Deprecated N/A

Input Context Window

The number of tokens supported by the input context window.

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

Maximum Output Tokens

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

Gemini 2.0 Flash-Lite Vision 8,192 tokens tokens
Gemini 1.5 Flash Deprecated 8,192 tokens tokens

Open Source

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

Gemini 2.0 Flash-Lite Vision No
Gemini 1.5 Flash Deprecated No

Release Date

When the model was first released.

Gemini 2.0 Flash-Lite Vision Feb 25, 2025
Gemini 1.5 Flash Deprecated Unknown

Knowledge Cut-off Date

When the model's knowledge was last updated.

Gemini 2.0 Flash-Lite Vision June 2024
Gemini 1.5 Flash Deprecated Unknown

API Providers

The providers that currently expose the model through an API.

Gemini 2.0 Flash-Lite Vision
Google, Vertex AI
Gemini 1.5 Flash Deprecated
Google

Modalities

Types of data each model can process or return.

Gemini 2.0 Flash-Lite Vision
Text Image
Gemini 1.5 Flash Deprecated
Text

Pricing Comparison

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

Gemini 2.0 Flash-Lite Vision Google
Input price $0.08 Per 1M tokens
Output price N/A Per 1M tokens
Gemini 1.5 Flash Deprecated Google
Input price N/A 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 2.0 Flash-Lite Vision
Gemini 1.5 Flash Deprecated
Document Analysis Can process long-form documents or multi-page inputs within its million-token context window, extracting structured information or answering questions about content.
Gemini 2.0 Flash-Lite Vision Supported
Gemini 1.5 Flash Deprecated —
High-Speed Inference Optimized for low-latency responses, making it suitable for real-time or high-throughput production applications.
Gemini 2.0 Flash-Lite Vision Supported
Gemini 1.5 Flash Deprecated —
Large Context Window Supports up to 1,048,576 tokens in a single context, allowing long documents, multi-image inputs, or extended conversations to be processed together.
Gemini 2.0 Flash-Lite Vision Supported
Gemini 1.5 Flash Deprecated —
Multimodal Input Accepts combinations of text and image inputs in a single request, enabling workflows that mix visual and textual data.
Gemini 2.0 Flash-Lite Vision Supported
Gemini 1.5 Flash Deprecated —
Text
Gemini 2.0 Flash-Lite Vision —
Gemini 1.5 Flash Deprecated Supported
Text Generation Generates coherent text responses based on visual and textual prompts, supporting summarization, Q&A, and content extraction tasks.
Gemini 2.0 Flash-Lite Vision Supported
Gemini 1.5 Flash Deprecated —
Vision Understanding Processes and interprets image inputs alongside text, enabling tasks like image captioning, visual question answering, and scene description.
Gemini 2.0 Flash-Lite Vision Supported
Gemini 1.5 Flash Deprecated —

Benchmark Comparison

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

Benchmark Gemini 2.0 Flash-Lite Vision Gemini 1.5 Flash Deprecated
AIME 2024
American math olympiad problems
Gemini 2.0 Flash-Lite Vision 27.7%
Gemini 1.5 Flash Deprecated N/A
GPQA Diamond
PhD-level science questions (biology, physics, chemistry)
Gemini 2.0 Flash-Lite Vision 53.5%
Gemini 1.5 Flash Deprecated N/A
HLE
Questions that challenge frontier models across many domains
Gemini 2.0 Flash-Lite Vision 3.6%
Gemini 1.5 Flash Deprecated N/A
LiveCodeBench
Real-world coding tasks from recent competitions
Gemini 2.0 Flash-Lite Vision 18.5%
Gemini 1.5 Flash Deprecated N/A
MATH-500
Undergraduate and competition-level math problems
Gemini 2.0 Flash-Lite Vision 87.3%
Gemini 1.5 Flash Deprecated N/A
MMLU-Pro
Expert knowledge across 14 academic disciplines
Gemini 2.0 Flash-Lite Vision 72.4%
Gemini 1.5 Flash Deprecated N/A
SciCode
Scientific research coding and numerical methods
Gemini 2.0 Flash-Lite Vision 25.0%
Gemini 1.5 Flash Deprecated N/A

AI tools related to Gemini 2.0 Flash-Lite Vision vs Gemini 1.5 Flash Deprecated

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
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 2.0 Flash-Lite Vision

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

Best fit for

Gemini 1.5 Flash Deprecated

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

Verdict

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

FAQ

Common questions about Gemini 2.0 Flash-Lite Vision vs Gemini 1.5 Flash Deprecated

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

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

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

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

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

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

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

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