Unknown
N/A context
8,192 tokens output
Google
vs
Google
Gemini 1.5 Pro Deprecated vs Gemini 2.0 Flash Lite
Compare Gemini 1.5 Pro Deprecated and Gemini 2.0 Flash Lite across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for general-purpose AI workloads versus long-context workloads.
Feb 25, 2025
1,048,576 context
8,192 tokens output
Overview Comparison
Structured side-by-side differences for the highest-signal model metadata.
Gemini 1.5 Pro Deprecated
Gemini 2.0 Flash Lite
Provider
The entity that currently provides this model.
Gemini 1.5 Pro Deprecated
Google
Gemini 2.0 Flash Lite
Google
Model ID
The routed model identifier exposed by upstream providers.
Gemini 1.5 Pro Deprecated
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 1.5 Pro Deprecated
N/A
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 1.5 Pro Deprecated
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 1.5 Pro Deprecated
No
Gemini 2.0 Flash Lite
No
Release Date
When the model was first released.
Gemini 1.5 Pro Deprecated
Unknown
Gemini 2.0 Flash Lite
Feb 25, 2025
Knowledge Cut-off Date
When the model's knowledge was last updated.
Gemini 1.5 Pro Deprecated
Unknown
Gemini 2.0 Flash Lite
June 2024
API Providers
The providers that currently expose the model through an API.
Gemini 1.5 Pro Deprecated
Google
Gemini 2.0 Flash Lite
Google, Vertex AI
Modalities
Types of data each model can process or return.
Gemini 1.5 Pro Deprecated
Text
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 1.5 Pro Deprecated
Google
Input price
N/A
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 1.5 Pro Deprecated
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 1.5 Pro Deprecated
—
Gemini 2.0 Flash Lite
Supported
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 1.5 Pro Deprecated
—
Gemini 2.0 Flash Lite
Supported
File
Gemini 1.5 Pro Deprecated
—
Gemini 2.0 Flash Lite
Supported
Image
Gemini 1.5 Pro Deprecated
—
Gemini 2.0 Flash Lite
Supported
Large Context Window
Processes up to 1,048,576 tokens in a single request, enabling analysis of long documents, codebases, or extended conversation histories without truncation.
Gemini 1.5 Pro Deprecated
—
Gemini 2.0 Flash Lite
Supported
Multimodal Input
Accepts text and image inputs within the same request, supporting tasks that combine visual and textual understanding such as image captioning or document analysis.
Gemini 1.5 Pro Deprecated
—
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 1.5 Pro Deprecated
—
Gemini 2.0 Flash Lite
Supported
Text
Gemini 1.5 Pro Deprecated
Supported
Gemini 2.0 Flash Lite
Supported
Text Generation
Generates coherent, contextually relevant text for use cases including summarization, translation, classification, and content drafting.
Gemini 1.5 Pro Deprecated
—
Gemini 2.0 Flash Lite
Supported
Tools
Gemini 1.5 Pro Deprecated
—
Gemini 2.0 Flash Lite
Supported
Video
Gemini 1.5 Pro Deprecated
—
Gemini 2.0 Flash Lite
Supported
Benchmark Comparison
Shared benchmark rows make it easier to compare performance where both models have published scores.
| Benchmark | Gemini 1.5 Pro Deprecated | Gemini 2.0 Flash Lite |
|---|---|---|
|
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 1.5 Pro Deprecated vs Gemini 2.0 Flash Lite
Gemini 1.5 Pro Deprecated 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 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*
### 📢 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*
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
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
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
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
AI tools related to Gemini 1.5 Pro Deprecated 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.
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
2Slash
2Slash is a browser extension that integrates AI directly into any text field. It enables users to generate social media content, Google Sheets formulas, and email replies, as well as improve grammar and explore various writing tasks. By typing '//' in any text field, users can quickly draft emails, translate text, correct grammar, write paragraphs, rephrase content, and generate code. 2Slash is designed to improve daily productivity by helping users engage with their community and enhance their social media presence through tailored responses and posts.
Free
0 visits
1 saves
Which model should you choose?
Use the summary below to decide which model better fits your workflow, budget, and feature requirements.
Gemini 1.5 Pro Deprecated
Gemini 1.5 Pro Deprecated is a stronger fit for general-purpose AI workloads.
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 1.5 Pro Deprecated if you prioritize general-purpose AI workloads. 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 1.5 Pro Deprecated vs Gemini 2.0 Flash Lite
What is the main difference between Gemini 1.5 Pro Deprecated and Gemini 2.0 Flash Lite?
Gemini 1.5 Pro Deprecated leans toward general-purpose AI workloads, while Gemini 2.0 Flash Lite is better suited to long-context workloads, tool-augmented workflows, multimodal applications.
Which model is cheaper: Gemini 1.5 Pro Deprecated or Gemini 2.0 Flash Lite?
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 Deprecated or Gemini 2.0 Flash Lite?
Gemini 1.5 Pro Deprecated is listed with a context window of N/A, while Gemini 2.0 Flash Lite is listed with 1,048,576.
How should I evaluate Gemini 1.5 Pro Deprecated 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.