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Google DeepMindReleased February 25, 2025

Gemini 2.0 Flash Lite

#22 Arena RankUndisclosed parameters

Gemini 2.0 Flash Lite holds a solid spot in the Arena rankings at #22. Context window: 0.001K tokens.

Context

1M

Input

$0.075

Key Specifications

🏆

Arena Rank

#22

📐

Context Window

1M

📥

Input Price

per 1M tokens

$0.075

📤

Output Price

per 1M tokens

$0.30

🧠

Parameters

Undisclosed

🔒

Open Source

No

Best For

High-volumelow-cost tasks

About Gemini 2.0 Flash Lite

Gemini 2.0 Flash Lite, developed by Google DeepMind, is the most affordable model in Google's lineup with a 1 million token context window. The model targets extremely high-volume applications where cost minimization is the primary constraint, handling classification, content filtering, routing, and basic summarization tasks competently. At $0.075 per million input tokens and $0.30 per million output tokens, it ranks among the cheapest API-accessible models from any major AI provider. Despite its budget positioning, Flash Lite inherits the massive context window from the Gemini architecture, enabling long-document processing at minimal cost. Gemini 2.0 Flash Lite ranks #22 on the Chatbot Arena leaderboard, demonstrating adequate quality for production workloads that prioritize throughput and cost-efficiency over maximum capability.

Pricing per 1M tokens

Input Tokens

$0.075

Output Tokens

$0.30

Compare Gemini 2.0 Flash Lite

See how Gemini 2.0 Flash Lite stacks up against other leading AI models

Gemini 2.0 Flash Lite vs Gemini 2.5 ProCompare →Gemini 2.0 Flash Lite vs Gemini 1.5 ProCompare →Gemini 2.0 Flash Lite vs Gemini 2.0 FlashCompare →Gemini 2.0 Flash Lite vs Gemini 2.5 FlashCompare →Gemini 2.0 Flash Lite vs Gemini 1.5 FlashCompare →

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Frequently Asked Questions

What is Gemini 2.0 Flash Lite?▾
Gemini 2.0 Flash Lite, developed by Google DeepMind, is the most affordable model in Google's lineup with a 1 million token context window. The model targets extremely high-volume applications where cost minimization is the primary constraint, handling classification, content filtering, routing, and basic summarization tasks competently. At $0.075 per million input tokens and $0.30 per million output tokens, it ranks among the cheapest API-accessible models from any major AI provider. Despite its budget positioning, Flash Lite inherits the massive context window from the Gemini architecture, enabling long-document processing at minimal cost. Gemini 2.0 Flash Lite ranks #22 on the Chatbot Arena leaderboard, demonstrating adequate quality for production workloads that prioritize throughput and cost-efficiency over maximum capability.
How much does Gemini 2.0 Flash Lite cost?▾
Gemini 2.0 Flash Lite costs $0.075 per 1M input tokens and $0.30 per 1M output tokens. You pay only for what you use, which keeps costs predictable.
What is Gemini 2.0 Flash Lite's context window?▾
Gemini 2.0 Flash Lite has a context window of 1M tokens. This determines how much text the model can process in a single request — bigger windows mean longer documents and richer conversation history.
Is Gemini 2.0 Flash Lite open source?▾
No, Gemini 2.0 Flash Lite is a proprietary model available through Google DeepMind's API. You get managed infrastructure, regular updates, and support as part of the package.
What is Gemini 2.0 Flash Lite best for?▾
Gemini 2.0 Flash Lite is best suited for: High-volume, low-cost tasks. These use cases play to the model's strengths in capability, speed, and cost within Google DeepMind's lineup.