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Gemini 2.0 Flash-Lite Vision vs Gemini 2.0 Flash Lite

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

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

Overview Comparison

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

Gemini 2.0 Flash-Lite Vision
Gemini 2.0 Flash Lite

Provider

The entity that currently provides this model.

Gemini 2.0 Flash-Lite Vision Google
Gemini 2.0 Flash Lite Google

Model ID

The routed model identifier exposed by upstream providers.

Gemini 2.0 Flash-Lite Vision N/A
Gemini 2.0 Flash Lite google/gemini-2.0-flash-lite-001

Input Context Window

The number of tokens supported by the input context window.

Gemini 2.0 Flash-Lite Vision 1,048,576 tokens
Gemini 2.0 Flash Lite 1,048,576 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 2.0 Flash Lite 8,192 tokens tokens

Open Source

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

Gemini 2.0 Flash-Lite Vision No
Gemini 2.0 Flash Lite No

Release Date

When the model was first released.

Gemini 2.0 Flash-Lite Vision Feb 25, 2025
Gemini 2.0 Flash Lite Feb 25, 2025

Knowledge Cut-off Date

When the model's knowledge was last updated.

Gemini 2.0 Flash-Lite Vision June 2024
Gemini 2.0 Flash Lite June 2024

API Providers

The providers that currently expose the model through an API.

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

Modalities

Types of data each model can process or return.

Gemini 2.0 Flash-Lite Vision
Text Image
Gemini 2.0 Flash Lite
Text Image File Audio Video

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 2.0 Flash Lite Google
Input price $0.08 Per 1M tokens
Output price $0.30 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 2.0 Flash Lite
Cost-Effective Scaling Priced for high-volume usage, allowing developers to run large numbers of requests while keeping per-token costs low compared to larger model tiers.
Gemini 2.0 Flash-Lite Vision —
Gemini 2.0 Flash Lite Supported
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 2.0 Flash Lite —
Fast Inference Optimized for low-latency responses, making it suitable for real-time applications and pipelines that require quick turnaround on text generation tasks.
Gemini 2.0 Flash-Lite Vision —
Gemini 2.0 Flash Lite Supported
File
Gemini 2.0 Flash-Lite Vision —
Gemini 2.0 Flash Lite Supported
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 2.0 Flash Lite —
Image
Gemini 2.0 Flash-Lite Vision —
Gemini 2.0 Flash Lite Supported
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 2.0 Flash Lite Supported
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 2.0 Flash Lite Supported
Structured Output Supports JSON-mode responses, allowing developers to request structured data outputs suitable for downstream processing in applications and APIs.
Gemini 2.0 Flash-Lite Vision —
Gemini 2.0 Flash Lite Supported
Text
Gemini 2.0 Flash-Lite Vision —
Gemini 2.0 Flash Lite 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 2.0 Flash Lite Supported
Tools
Gemini 2.0 Flash-Lite Vision —
Gemini 2.0 Flash Lite Supported
Video
Gemini 2.0 Flash-Lite Vision —
Gemini 2.0 Flash Lite Supported
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 2.0 Flash Lite —

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

What Reddit discussions say about Gemini 2.0 Flash-Lite Vision vs Gemini 2.0 Flash Lite

Gemini 2.0 Flash-Lite Vision and Gemini 2.0 Flash Lite 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/Bard, r/RooCode, r/ChatGPTCoding.

Gemini 2.0 Flash Lite r/RooCode 32 upvotes 6 comments February 5, 2025
Roo Code 3.3.12 Released - Support for new Gemini models!

### 📢 Gemini 2.0 Support
- **Added support for new Gemini 2.0 models**, which include:
- Structured outputs
- Function calling
- Large context windows
- Image support
- Prompt caching (coming soon)
- 8192 max token Output

- **Individual Models**
- **gemini-2.0-flash-001** – 1,048,576 context
- **gemini-2.0-flash-lite-preview-02-05** – 1,048,576 context
- **gemini-2.0-pro-exp-02-05** – 2,097,152 context

### 🐛 Bug Fixes
- Fix issue with changing a mode's API configuration on the prompts tab

----

If Roo Code has been useful to you, take a moment to [rate it on the VS Code Marketplace](https://marketplace.visualstudio.com/items?itemName=RooVeterinaryInc.roo-cline&ssr=false#review-details). Reviews help others discover it and keep it growing!

---
*Download the latest version from our [VSCode Marketplace page](https://marketplace.visualstudio.com/items?itemName=rooveterinaryinc.roo-cline) and pleaes WRITE US A REVIEW*

*Join our communities:*
* *[Discord server](https://discord.gg/roocode) for real-time support and updates*
* *[r/RooCode](https://reddit.com/r/RooCode) for discussions and announcements*

Open Reddit thread
Gemini 2.0 Flash Lite r/ChatGPTCoding 27 upvotes 15 comments February 5, 2025
Roo Code Support Gemini 2.0 - 3.3.12 Released

### 📢 Gemini 2.0 Support
- **Added support for new Gemini 2.0 models**, which include:
- Structured outputs
- Function calling
- Large context windows
- Image support
- Prompt caching (coming soon)
- 8192 max token Output

- **Individual Models**
- **gemini-2.0-flash-001** – 1,048,576 context
- **gemini-2.0-flash-lite-preview-02-05** – 1,048,576 context
- **gemini-2.0-pro-exp-02-05** – 2,097,152 context

### 🐛 Bug Fixes
- Fix issue with changing a mode's API configuration on the prompts tab

----

If Roo Code has been useful to you, take a moment to [rate it on the VS Code Marketplace](https://marketplace.visualstudio.com/items?itemName=RooVeterinaryInc.roo-cline&ssr=false#review-details). Reviews help others discover it and keep it growing!

---
*Download the latest version from our [VSCode Marketplace page](https://marketplace.visualstudio.com/items?itemName=rooveterinaryinc.roo-cline) and pleaes WRITE US A REVIEW*

*Join our communities:*
* *[Discord server](https://discord.gg/roocode) for real-time support and updates*
* *[r/RooCode](https://reddit.com/r/RooCode) for discussions and announcements*

Open Reddit thread
Gemini 2.0 Flash Lite r/Bard 7 upvotes 1 comments April 22, 2025
All models available from API

I wonder why they don't put all models also on the aistudio UI (perhaps as a setting).

Here is the full list as of today:

chat-bison-001
text-bison-001
embedding-gecko-001
gemini-1.0-pro-vision-latest
gemini-pro-vision
gemini-1.5-pro-latest
gemini-1.5-pro-001
gemini-1.5-pro-002
gemini-1.5-pro
gemini-1.5-flash-latest
gemini-1.5-flash-001
gemini-1.5-flash-001-tuning
gemini-1.5-flash
gemini-1.5-flash-002
gemini-1.5-flash-8b
gemini-1.5-flash-8b-001
gemini-1.5-flash-8b-latest
gemini-1.5-flash-8b-exp-0827
gemini-1.5-flash-8b-exp-0924
gemini-2.5-pro-exp-03-25
gemini-2.5-pro-preview-03-25
gemini-2.5-flash-preview-04-17
gemini-2.0-flash-exp
gemini-2.0-flash
gemini-2.0-flash-001
gemini-2.0-flash-lite-001
gemini-2.0-flash-lite
gemini-2.0-flash-lite-preview-02-05
gemini-2.0-flash-lite-preview
gemini-2.0-pro-exp
gemini-2.0-pro-exp-02-05
gemini-exp-1206
gemini-2.0-flash-thinking-exp-01-21
gemini-2.0-flash-thinking-exp
gemini-2.0-flash-thinking-exp-1219
learnlm-1.5-pro-experimental
learnlm-2.0-flash-experimental
gemma-3-1b-it
gemma-3-4b-it
gemma-3-12b-it
gemma-3-27b-it
embedding-001
text-embedding-004
gemini-embedding-exp-03-07
gemini-embedding-exp
aqa
imagen-3.0-generate-002
veo-2.0-generate-001
gemini-2.0-flash-live-001

Open Reddit thread
Gemini 2.0 Flash Lite r/Bard 5 upvotes 4 comments April 11, 2026
Found this list from an api call. Is there any unreleased models/suprises?

Updated

models/gemini-2.5-flash

models/gemini-2.5-pro

models/gemini-2.0-flash

models/gemini-2.0-flash-001

models/gemini-2.0-flash-lite-001

models/gemini-2.0-flash-lite

models/gemini-2.5-flash-preview-tts

models/gemini-2.5-pro-preview-tts

models/gemma-3-1b-it

models/gemma-3-4b-it

models/gemma-3-12b-it

models/gemma-3-27b-it

models/gemma-3n-e4b-it

models/gemma-3n-e2b-it

models/gemma-4-26b-a4b-it

models/gemma-4-31b-it

models/gemini-flash-latest

models/gemini-flash-lite-latest

models/gemini-pro-latest

models/gemini-2.5-flash-lite

models/gemini-2.5-flash-image

models/gemini-3-pro-preview

models/gemini-3-flash-preview

models/gemini-3.1-pro-preview

models/gemini-3.1-pro-preview-customtools

models/gemini-3.1-flash-lite-preview

models/gemini-3-pro-image-preview

models/nano-banana-pro-preview

models/gemini-3.1-flash-image-preview

models/lyria-3-clip-preview

models/lyria-3-pro-preview

models/gemini-robotics-er-1.5-preview

models/gemini-2.5-computer-use-preview-10-2025

models/deep-research-pro-preview-12-2025

models/gemini-embedding-001

models/gemini-embedding-2-preview

models/aqa

models/imagen-4.0-generate-001

models/imagen-4.0-ultra-generate-001

models/imagen-4.0-fast-generate-001

models/veo-2.0-generate-001

models/veo-3.0-generate-001

models/veo-3.0-fast-generate-001

models/veo-3.1-generate-preview

models/veo-3.1-fast-generate-preview

models/veo-3.1-lite-generate-preview

models/gemini-2.5-flash-native-audio-latest

models/gemini-2.5-flash-native-audio-preview-09-2025

models/gemini-2.5-flash-native-audio-preview-12-2025

models/gemini-3.1-flash-live-preview

models/lyria-realtime-exp

Open Reddit thread
Gemini 2.0 Flash Lite r/Bard 3 upvotes 4 comments July 9, 2025
All Gemini Models available through (Paid) API

aqa
embedding-001
embedding-gecko-001
gemini-1.0-pro-vision-latest
gemini-1.5-flash
gemini-1.5-flash-002
gemini-1.5-flash-8b
gemini-1.5-flash-8b-001
gemini-1.5-flash-8b-latest
gemini-1.5-flash-latest
gemini-1.5-pro
gemini-1.5-pro-002
gemini-1.5-pro-latest
gemini-2.0-flash
gemini-2.0-flash-001
gemini-2.0-flash-exp
gemini-2.0-flash-lite
gemini-2.0-flash-lite-001
gemini-2.0-flash-lite-preview
gemini-2.0-flash-lite-preview-02-05
gemini-2.0-flash-live-001
gemini-2.0-flash-thinking-exp
gemini-2.0-flash-thinking-exp-01-21
gemini-2.0-flash-thinking-exp-1219
gemini-2.0-pro-exp
gemini-2.0-pro-exp-02-05
gemini-2.5-flash
gemini-2.5-flash-exp-native-audio-thinking-dialog
gemini-2.5-flash-lite-preview-06-17
gemini-2.5-flash-preview-04-17
gemini-2.5-flash-preview-04-17-thinking
gemini-2.5-flash-preview-05-20
gemini-2.5-flash-preview-native-audio-dialog
gemini-2.5-flash-preview-tts
gemini-2.5-pro
gemini-2.5-pro-preview-03-25
gemini-2.5-pro-preview-05-06
gemini-2.5-pro-preview-06-05
gemini-2.5-pro-preview-tts
gemini-embedding-exp
gemini-embedding-exp-03-07
gemini-exp-1206
gemini-live-2.5-flash-preview
gemini-pro-vision
gemma-3-12b-it
gemma-3-1b-it
gemma-3-27b-it
gemma-3-4b-it
gemma-3n-e2b-it
gemma-3n-e4b-it
imagen-3.0-generate-002
imagen-4.0-generate-preview-06-06
imagen-4.0-ultra-generate-preview-06-06
learnlm-2.0-flash-experimental
text-embedding-004
veo-2.0-generate-001

Open Reddit thread
Gemini 2.0 Flash Lite r/GoogleGeminiAI 2 upvotes 4 comments November 20, 2025
Which model uses the free tier? These are the models I have access to with my API key.

models/gemini-2.5-pro-preview-03-25
models/gemini-2.5-flash
models/gemini-2.5-pro-preview-05-06
models/gemini-2.5-pro-preview-06-05
models/gemini-2.5-pro
models/gemini-2.0-flash-exp
models/gemini-2.0-flash
models/gemini-2.0-flash-001
models/gemini-2.0-flash-exp-image-generation
models/gemini-2.0-flash-lite-001
models/gemini-2.0-flash-lite
models/gemini-2.0-flash-lite-preview-02-05
models/gemini-2.0-flash-lite-preview
models/gemini-2.0-pro-exp
models/gemini-2.0-pro-exp-02-05
models/gemini-exp-1206
models/gemini-2.0-flash-thinking-exp-01-21
models/gemini-2.0-flash-thinking-exp
models/gemini-2.0-flash-thinking-exp-1219
models/gemini-2.5-flash-preview-tts
models/gemini-2.5-pro-preview-tts
models/learnlm-2.0-flash-experimental
models/gemma-3-1b-it
models/gemma-3-4b-it
models/gemma-3-12b-it
models/gemma-3-27b-it
models/gemma-3n-e4b-it
models/gemma-3n-e2b-it
models/gemini-flash-latest
models/gemini-flash-lite-latest
models/gemini-pro-latest
models/gemini-2.5-flash-lite
models/gemini-2.5-flash-image-preview
models/gemini-2.5-flash-image
models/gemini-2.5-flash-preview-09-2025
models/gemini-2.5-flash-lite-preview-09-2025
models/gemini-3-pro-preview
models/gemini-3-pro-image-preview
models/nano-banana-pro-preview
models/gemini-robotics-er-1.5-preview
models/gemini-2.5-computer-use-preview-10-2025

Open Reddit thread
View more discussions →

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

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.

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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.

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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 2.0 Flash Lite

Gemini 2.0 Flash Lite is a stronger fit for long-context workloads, tool-augmented workflows, multimodal applications.

Verdict

Choose Gemini 2.0 Flash-Lite Vision if you prioritize long-context workloads, cost-efficient scale, benchmark-led evaluation. Choose Gemini 2.0 Flash Lite if your workflow depends more on long-context workloads, tool-augmented workflows, multimodal applications.

FAQ

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

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

Gemini 2.0 Flash-Lite Vision leans toward long-context workloads, cost-efficient scale, benchmark-led evaluation, while Gemini 2.0 Flash Lite is better suited to long-context workloads, tool-augmented workflows, multimodal applications.

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

Gemini 2.0 Flash-Lite Vision and Gemini 2.0 Flash Lite currently share the same published input price of $0.0800 per 1M input tokens.

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

Gemini 2.0 Flash-Lite Vision is listed with a context window of 1,048,576, while Gemini 2.0 Flash Lite is listed with 1,048,576.

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

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