Gemini 2.0 Flash-Lite
Gemini 2.0 Flash-Lite is an AI model published by DeepMind, released on 2025-02-05, for AI model, and 1000K tokens context length, requiring about 0 storage, with no open-source license.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
| Modality | Input | Output |
|---|---|---|
| Text | $0.075 | $0.3 |
Gemini 2.0 Flash-Lite currently shows benchmark results led by MATH (8 / 42, score 86.80), SimpleQA (31 / 45, score 21.70), MMLU Pro (86 / 124, score 71.60). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.
Gemini 2.0 Flash-Lite is an AI model published by DeepMind, released on 2025-02-05, for AI model, and 1000K tokens context length, requiring about 0 storage, with no open-source license.
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