Gemini 2.0 Flash Lite
Google • LLM
Gemini 2.0 Flash Lite offers a significantly faster time to first token (TTFT) compared to [Gemini Flash 1.5](/google/gemini-flash-1.5), while maintaining quality on par with larger models like [Gemini Pro 1.5](/google/gemini-pro-1.5),...
Specifications
Context Window
1.0M tokens
Input Price/1M
$0.07
Output Price/1M
$0.30
Parameters
—
Max Output
8K tokens
Benchmarks
Gemini 2.0 Flash Lite results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
Coding
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LiveCodeBench | 18.5 | 100.0 | Artificial Analysis official API |
Math
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MATH-500 | 87.3 | 100.0 | Artificial Analysis official API |
overall
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Intelligence Index | 14.7 | 100.0 | Artificial Analysis official API |
Reasoning
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MMLU Pro | 72.4 | 100.0 | Artificial Analysis official API |
| GPQA Diamond | 53.5 | 100.0 | Artificial Analysis official API |
Information
- Release date
- February 25, 2025
- Tool Calling
- ✅ Supported
- Vision
- ✅ Supported
- Audio
- ✅ Supported
Full Analysis: Gemini 2.0 Flash Lite
What is Gemini 2.0 Flash Lite?
Gemini 2.0 Flash Lite is an AI model developed by Google, classified as a large language model (LLM). It is a multimodal model, capable of processing text, images, and potentially other media types. As a proprietary model, it is available via Google's cloud API. With a context window of 1.0M tokens, it is suitable for processing long documents such as contracts, books, and complete codebases.
Pricing & Costs in 2026
Gemini 2.0 Flash Lite is usage-based, priced at $0.075/1M input tokens and $0.3/1M output tokens. For context: 1 million tokens is approximately 750,000 words, or about 10 average-length books. At this aggressive price point, it is one of the most cost-effective options on the market, ideal for high-volume applications like chatbots, bulk document analysis, and automation.
Benchmarks & Performance
Gemini 2.0 Flash Lite was evaluated on 5 different benchmarks, covering categories like Coding, Math, overall, Reasoning. Results show solid performance across available evaluations.
It's important to note that benchmarks measure specific aspects and don't capture the full user experience. Factors like instruction adherence, behavior in long conversations, and real-world task quality vary significantly between models and aren't always reflected in standard scores.
Recommended Use Cases
Gemini 2.0 Flash Lite is suitable for a wide range of AI applications: long document analysis (contracts, legal proceedings, codebases), automation with tool calling (API integration, databases, external systems), image and visual document analysis (OCR, diagrams, screenshots), multimodal processing combining text and images, high-volume chatbots and automated support, text generation, summarization, translation, and general assistance.
Comparison with Alternatives
In the 2026 AI model ecosystem, Gemini 2.0 Flash Lite competes directly with similarly capable models. Key competitors include GPT (OpenAI), Claude (Anthropic), and open source models like Llama (Meta) and Qwen (Alibaba). The choice between models depends on the specific use case, budget, latency requirements, and need for features like multimodality and tool calling.
For a detailed side-by-side comparison, use our comparison tool or check the overall model ranking.
Frequently Asked Questions
What is Gemini 2.0 Flash Lite?
Gemini 2.0 Flash Lite offers a significantly faster time to first token (TTFT) compared to [Gemini Flash 1.5](/google/gemini-flash-1.5), while maintaining quality on par with larger models like [Gemini Pro 1.5](/google/gemini-pro-1.5),...
How much does Gemini 2.0 Flash Lite cost?
Gemini 2.0 Flash Lite costs $0.075/1M input tokens and $0.3/1M output tokens. For heavy usage (e.g., a chatbot handling 100k messages/month), costs can range from $10 to $1,000 depending on volume.
How does Gemini 2.0 Flash Lite compare with other models?
In available benchmarks, Gemini 2.0 Flash Lite scored: LiveCodeBench: 18.5/100, MATH-500: 87.3/100, AA Intelligence Index: 14.7/100. See the full table above for a detailed comparison.
Is Gemini 2.0 Flash Lite open source?
No, Gemini 2.0 Flash Lite is a proprietary model from Google. It is available via cloud API. For open source alternatives, check our open source model ranking.
What is Gemini 2.0 Flash Lite best for?
Gemini 2.0 Flash Lite excels at multimodal tasks including text and vision. With its large context window, it handles long documents, codebases, and extended conversations. It supports tool calling for API integrations and automation.
Last updated: June 01, 2026 • View methodology →