Model Library
GoogleReleased February 25, 2025Gemini 2.0 Flash-Lite (Feb)
Google · Released February 25, 2025
Intelligence score
9
At a glance
- Intelligence
- 9
- Speed
- —
- Latency
- —
- Input price
- Not published
- Output price
- Not published
- Context window
- 2tokens
- Parameters
- —
Summary
Comparison summary
Gemini 2.0 Flash-Lite (Feb '25) scores 9 (estimated) on the Artificial Analysis Intelligence Index, placing it above average among other non-reasoning models in a similar price tier (median: 8).
Specifications
Technical specifications
| Model name | Gemini 2.0 Flash-Lite (Feb) |
|---|---|
| Provider | |
| Release date | February 25, 2025 |
| Intelligence score | 9 |
| Speed | — |
| Latency (TTFT) | — |
| Input price | Not published |
| Output price | Not published |
| Context window | 2 tokens |
| Parameters | — |
| Reasoning | No |
| Input modalities | text, image, audio, video |
| Output modalities | — |
| Open weights | No |
| License | — |
| API availability | — |
| Source | Model Intelligence legacy profile: gemini-2-0-flash-lite-001 |
FAQ · 15
Frequently asked questions
Gemini 2.0 Flash-Lite (Feb '25) was released on February 25, 2025.
Gemini 2.0 Flash-Lite (Feb '25) was created by Google.
Gemini 2.0 Flash-Lite (Feb '25) scores 9 (estimated) on the Artificial Analysis Intelligence Index, placing it above average among other non-reasoning models in a similar price tier (median: 8).
No, Gemini 2.0 Flash-Lite (Feb '25) is not a reasoning model. It provides direct responses without extended chain-of-thought reasoning.
Gemini 2.0 Flash-Lite (Feb '25) supports text, image, speech, and video input.
Gemini 2.0 Flash-Lite (Feb '25) supports text output.
Yes, Gemini 2.0 Flash-Lite (Feb '25) supports image input and can analyze, describe, and answer questions about images.
Yes, Gemini 2.0 Flash-Lite (Feb '25) is multimodal. It can process text, image, speech, and video input and generate text output.
Gemini 2.0 Flash-Lite (Feb '25) has a context window of 1.0M tokens. This determines how much text and conversation history the model can process in a single request.
No, Gemini 2.0 Flash-Lite (Feb '25) is proprietary. The model weights are not publicly available.
Gemini 2.0 Flash-Lite (Feb '25) is a proprietary model and Google has not disclosed the model size or parameter count.
Gemini 2.0 Flash-Lite (Feb '25) achieves a score of 9 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding.
Gemini 2.0 Flash-Lite (Feb '25) has a knowledge cutoff of August 2024. The model's training data includes information up to this date.
Check the providers page for current API availability.
Visit the providers page to see availability.