Gemini 2.0 Flash-Lite
Gemini 2.0 Flash-Lite is an AI model published by DeepMind, released on 2025-02-05, for Chat model, and 1000K context length, requiring about 0 storage, with a 86.80 score on MATH.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
Model basics
Open source & experience
Official resources
API details
| Type | Condition | Input | Output |
|---|---|---|---|
| Text | - | $0.075/ 1M | $0.300/ 1M |
| Type | Condition | Input | Output |
|---|---|---|---|
| Text | - | $0.037/ 1M | $0.150/ 1M |
Benchmark Results
Gemini 2.0 Flash-Lite currently shows benchmark results led by MATH (8 / 42, score 86.80), MMLU Pro (91 / 132, score 71.60), SimpleQA (33 / 47, score 21.70). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.
General Knowledge
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Publisher
Model Overview
Gemini 2.0 Flash-Lite is an AI model published by DeepMind, released on 2025-02-05, for Chat model, and 1000K context length, requiring about 0 storage, with a 86.80 score on MATH.
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