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Gemini 2.5 Flash-Lite (Non-reasoning)

GoogleGemini开源权重Creative Commons Attribution 4.0 License

描述

Gemini 2.5 Flash-Lite is a model developed by Google DeepMind, designed to handle various tasks including reasoning, science, mathematics, code generation, and more. It features advanced capabilities in multilingual performance and long context understanding. It is optimized for low latency use cases, supporting multimodal input with a 1 million-token context length.

发布日期
2025-06-17
参数规模
—
上下文长度
1.0M
支持模态
audio, image, pdf, text, video

能力雷达图

26
general
35
coding
49
reasoning
28
science
45
agents
88
multimodal

排行榜排名

领域#排名分数来源
音频能力36
64.0
AA
代码能力榜365
28.0
AA
通用能力榜444
29.0
AA
科学能力468
26.0
AA

基准测试分数 (LLM Stats)

(LLM Stats (zeroeval))

Biology

GPQANYU + Cohere + Anthropic (2023)64.6%自报

Code

LiveCodeBench33.7%自报
SWE-Bench Verified31.6%自报
Aider-Polyglot26.7%自报

Factuality

FACTS Grounding84.1%自报
SimpleQA10.7%自报

General

Global-MMLU-Lite81.1%自报
MMMU72.9%自报
Vibe-Eval51.3%自报
MRCR v216.6%自报
Arc2.5%自报

Math

AIME 202549.8%自报
Humanity's Last Exam5.1%自报

AA 评测指数

(Artificial Analysis)
Math Index(Artificial Analysis)
35.3
Intelligence Index(Artificial Analysis)
6.7
Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))
0.9
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))
0.7
Aime(MAA (Mathematical Association of America))
0.5
Gpqa(NYU + Cohere + Anthropic (2023))
0.5
Livecodebench(UC Berkeley + MIT + Cornell (2024))
0.4
Aime 25(MAA (Mathematical Association of America))
0.4
Lcr(Artificial Analysis)
0.3
Ifbench(Google Research (2023))
0.3
Tau2(Sierra + U Toronto + Vector Institute (2025))
0.2
Scicode(UIUC + Argonne National Lab (2024))
0.2
Hle(Center for AI Safety + Scale AI (2025))
0.0
Terminalbench Hard(Stanford × Laude Institute (2026))
0.0

LLM Stats 分类评分

(LLM Stats (zeroeval))
Language
80
Grounding
80
Healthcare
70
Multimodal
60
Physics
60
Biology
60
Chemistry
60
Reasoning
50
Factuality
50
General
40
Vision
40
Math
30
Frontend Development
30
Code
30
Long Context
20

定价

输入价格$0.1 / 1M tokens
输出价格$0.4 / 1M tokens
混合价格(3:1)$0.175 / 1M tokens
缓存读取价格$0.01 / 1M tokens

速度

Tokens/秒0.0
首Token延迟0.00s
首回答延迟0.00s

供应商价格排行

供应商价格排行

1 个供应商

供应商输入输出
1Google主要
$0.1
$0.4

比较该模型在不同 API 供应商之间的定价。

外部链接

LLM StatsArtificial Analysis