1c:I[87667,["/_next/static/chunks/10soga2ml~4fh.js","/_next/static/chunks/11pst7fkjydhl.js","/_next/static/chunks/00fkt1cuypt1n.js","/_next/static/chunks/0iw2vjq4a6d0m.js","/_next/static/chunks/0qlhad6a5gqve.js","/_next/static/chunks/0d4nh_7b-o8ix.js","/_next/static/chunks/04izf.31n61qo.js","/_next/static/chunks/15maenzyg96px.js","/_next/static/chunks/0.5fqt0ar._sc.js","/_next/static/chunks/0sa1o3o1bz4_x.js","/_next/static/chunks/12a-8hxb3trpq.js","/_next/static/chunks/06o--cghi8ib8.js","/_next/static/chunks/08wwcagti.b3~.js"],"default"] 1b:T525,{"@context":"https://schema.org","@graph":[{"@type":"CollectionPage","@id":"https://www.datalearner.com/ai-models/pretrained-models/Gemini-2_5-Flash-Lite/analysis#webpage","url":"https://www.datalearner.com/ai-models/pretrained-models/Gemini-2_5-Flash-Lite/analysis","headline":"Gemini 2.5 Flash-Lite 评测结果与模型对比","description":"Gemini 2.5 Flash-Lite 当前已收录的代表性评测结果包括 MMLU（43 / 65，得分 84.50）、GPQA Diamond（122 / 175，得分 66.70）、AIME2025（78 / 106，得分 63.10）。","author":{"@type":"Organization","name":"DataLearnerAI","url":"https://www.datalearner.com"},"publisher":{"@type":"Organization","name":"DataLearnerAI","logo":{"@type":"ImageObject","url":"https://www.datalearner.com/dl_logo_rect.webp"}},"mainEntity":{"@id":"https://www.datalearner.com/ai-models/pretrained-models/Gemini-2_5-Flash-Lite#software"},"mainEntityOfPage":{"@type":"WebPage","@id":"https://www.datalearner.com/ai-models/pretrained-models/Gemini-2_5-Flash-Lite/analysis#webpage"},"hasPart":[]},{"@type":"SoftwareApplication","@id":"https://www.datalearner.com/ai-models/pretrained-models/Gemini-2_5-Flash-Lite#software","name":"Gemini 2.5 Flash-Lite","url":"https://www.datalearner.com/ai-models/pretrained-models/Gemini-2_5-Flash-Lite","applicationCategory":"AI Model"}]}1d:T653,

Gemini 2.5 Flash-Lite 是 Gemini 2.5 系列模型中最新发布的预览版本，以其高性价比和卓越的速度为特点。该模型在编码、数学、科学、推理和多模态基准测试中均展现出比 Gemini 2.0 Flash-Lite 更高的综合质量。特别是在处理大规模、对延迟敏感的任务，如翻译和分类时，Gemini 2.5 Flash-Lite 的表现尤为突出，其延迟低于 Gemini 2.0 Flash-Lite 和 Gemini 2.0 Flash。

Gemini 2.5 Flash-Lite 继承了 Gemini 2.5 系列的核心能力，包括灵活调整计算预算以实现不同程度的思考能力，支持连接 Google Search 等工具以及代码执行，并具备多模态输入和高达一百万 token 的上下文长度。

目前，Gemini 2.5 Flash-Lite 的预览版本已在 Google AI Studio 和 Vertex AI 上线，用户可以开始构建应用并提供反馈。同时，Gemini 2.5 Flash 和 Pro 的稳定版本也已正式发布，可供生产环境使用，并已集成到 Gemini 应用中。此外，Gemini 2.5 Flash-Lite 和 Flash 的定制版本也已应用于 Google Search。

Gemini 2.5 Flash-Lite 评测详情

评测结果

评测结果

综合评估