Gemini 2.0 Flash-Lite (Preview)
Intelligence
14.5
#353/523
Coding
—
Math
—
Speed
—
Pricing
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A Gemini 2.0 Flash model optimized for cost efficiency and low latency
Gemini 2.0 Flash-Lite (Preview) is Google’s latest AI model designed for efficient processing tasks. It features an Intelligence Index of 14.5, making it suitable for various applications in data analysis and coding. The model is targeted at professional users seeking advanced capabilities.
When to Use Gemini 2.0 Flash-Lite (Preview)
✓ Best For
- Data analysis tasks.
- Coding assistance.
- Natural language processing applications.
✗ Not Ideal For
- Users needing extensive math capabilities.
- Applications requiring high-speed processing metrics.
How Gemini 2.0 Flash-Lite (Preview) Compares
Intelligence Index · Higher is better
MetaOpenAIGoogleMistralAlibaba
Benchmark Profile
Intelligence · Coding · Math
Intelligence
Coding
Math
All Benchmark Scores (7)
| Benchmark | Score | |
|---|---|---|
| Intelligence Index | 14.5 | |
| GPQA | 542% | |
| LiveCodeBench | 179% | |
| HLE | 44% | |
| SciCode | 24.7% | |
| AIME | 30.3% | |
| MATH 500 | 87.3% |
Data: Artificial Analysis · Updated: April 1, 2026
Frequently Asked Questions (15)
When was Gemini 2.0 Flash-Lite (Preview) released?
Gemini 2.0 Flash-Lite (Preview) was released on February 5, 2025.
Who created Gemini 2.0 Flash-Lite (Preview)?
Gemini 2.0 Flash-Lite (Preview) was created by Google.
How intelligent is Gemini 2.0 Flash-Lite (Preview)?
Gemini 2.0 Flash-Lite (Preview) scores 14 (estimated) on the Artificial Analysis Intelligence Index, placing it well above average among other non-reasoning models in a similar price tier (median: 11).
How verbose is Gemini 2.0 Flash-Lite (Preview)?
When evaluated on the Intelligence Index, Gemini 2.0 Flash-Lite (Preview) generated 2.5M output tokens, which is better than average compared to other non-reasoning models in a similar price tier (median: 2.8M).
Is Gemini 2.0 Flash-Lite (Preview) a reasoning model?
No, Gemini 2.0 Flash-Lite (Preview) is not a reasoning model. It provides direct responses without extended chain-of-thought reasoning.
What input modalities does Gemini 2.0 Flash-Lite (Preview) support?
Gemini 2.0 Flash-Lite (Preview) supports text, image, speech, and video input.
What output modalities does Gemini 2.0 Flash-Lite (Preview) support?
Gemini 2.0 Flash-Lite (Preview) supports text output.
Can Gemini 2.0 Flash-Lite (Preview) process images?
Yes, Gemini 2.0 Flash-Lite (Preview) supports image input and can analyze, describe, and answer questions about images.
Is Gemini 2.0 Flash-Lite (Preview) multimodal?
Yes, Gemini 2.0 Flash-Lite (Preview) is multimodal. It can process text, image, speech, and video input and generate text output.
What is the context window of Gemini 2.0 Flash-Lite (Preview)?
Gemini 2.0 Flash-Lite (Preview) has a context window of 1.0M tokens. This determines how much text and conversation history the model can process in a single request.
Is Gemini 2.0 Flash-Lite (Preview) open source?
No, Gemini 2.0 Flash-Lite (Preview) is proprietary. The model weights are not publicly available.
How many parameters does Gemini 2.0 Flash-Lite (Preview) have?
Gemini 2.0 Flash-Lite (Preview) is a proprietary model and Google has not disclosed the model size or parameter count.
How does Gemini 2.0 Flash-Lite (Preview) perform on benchmarks?
Gemini 2.0 Flash-Lite (Preview) achieves a score of 14 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding.
What is the knowledge cutoff date for Gemini 2.0 Flash-Lite (Preview)?
Gemini 2.0 Flash-Lite (Preview) has a knowledge cutoff of August 2024. The model's training data includes information up to this date.
Is Gemini 2.0 Flash-Lite (Preview) available via API?
Check the providers page for current API availability.
