Gemini 2.0 Flash Experimental
Gemini 2.0 Flash Experimental is an AI model published by DeepMind, released on 2024-12-11, for 多模态大模型, and 1000K tokens context length, under the 不开源 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 | $0.10 | $0.40 |
| Image | $0.10 | -- |
| Audio | $0.70 | -- |
| Video | $0.10 | -- |
Gemini 2.0 Flash Experimental currently shows benchmark results led by SimpleQA (23 / 45, score 29.90), MMLU Pro (73 / 124, score 76.24), MMLU (44 / 65, score 83.40). 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 Experimental是Google在2024年12月份发布的一个较小参数规模的大语言模型，尽管按照命名情况它的参数应该不多，但是在各种评测中都已经超过了上一代的Pro版本（即Gemini 1.5 Pro）。在Google官方的大模型应用中，也是免费提供给大家使用的。
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