Gemini 2.5 Flash-Lite (Non-reasoning)

GoogleGemini오픈 웨이트Creative Commons Attribution 4.0 License

설명

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.

출시일

2025-06-17

파라미터

—

컨텍스트 길이

1.0M

모달리티

audio, image, pdf, text, video

능력 레이더

general

coding

reasoning

science

agents

multimodal

랭킹

도메인	#순위	점수	소스
오디오	41	52.0	AA
코딩 랭킹	456	27.0	AA
종합 랭킹	507	28.0	AA
멀티모달 랭킹	75	52.0	LS
과학	534	24.0	AA

벤치마크 점수 (LLM Stats)

(LLM Stats (zeroeval))

Factuality

SimpleQA

10.7%자체 보고

General

Global-MMLU-Lite

81.1%자체 보고

Aider-Polyglot

26.7%자체 보고

Long Context

MRCR v2

16.6%자체 보고

Math

AIME 2025

49.8%자체 보고

Multimodal

MMMU

72.9%자체 보고

Vibe-Eval

51.3%자체 보고

Reasoning

FACTS Grounding

84.1%자체 보고

GPQANYU + Cohere + Anthropic (2023)

64.6%자체 보고

LiveCodeBench

33.7%자체 보고

SWE-Bench Verified

31.6%자체 보고

Humanity's Last Exam

5.1%자체 보고

Arc

2.5%자체 보고

AA 평가 지수

(Artificial Analysis)

Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))

92.6

Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))

72.4

Aime(MAA (Mathematical Association of America))

50.0

Gpqa(NYU + Cohere + Anthropic (2023))

47.4

Livecodebench(UC Berkeley + MIT + Cornell (2024))

40.0

Aime 25(MAA (Mathematical Association of America))

35.3

Math Index(Artificial Analysis)

35.3

Lcr(Artificial Analysis)

32.0

Ifbench(Google Research (2023))

31.5

Tau2(Sierra + U Toronto + Vector Institute (2025))

19.0

Intelligence Index(Artificial Analysis)

6.7

Hle(Center for AI Safety + Scale AI (2025))

3.7

Terminalbench Hard(Stanford × Laude Institute (2026))

2.3

LLM Stats 카테고리 점수

(LLM Stats (zeroeval))

Language

Grounding

Healthcare

Multimodal

Physics

Biology

Chemistry

Reasoning

Factuality

General

Vision

Math

Frontend Development

Code

Long Context

가격

입력 가격$0.1 / 1M 토큰

출력 가격$0.4 / 1M 토큰

혼합 가격 (3:1)$0.175 / 1M 토큰

캐시 읽기 가격$0.01 / 1M 토큰

속도

토큰/초0.0

첫 토큰 지연0.00s

첫 응답 지연0.00s

공급자 가격 순위

8개 공급자

최저가: Jiekou.AI최고가: Vertex

공급자입력출력

1Jiekou.AI최저가

$0.09

$0.36

2Helicone

$0.1

$0.4

3Google주요

$0.1

$0.4

4NanoGPT

$0.1

$0.4

5SAP AI Core

$0.1

$0.4

6AIHubMix

$0.1

$0.4

7DevPass (LLM Gateway)

$0.1

$0.4

8Vertex

$0.1

$0.4

이 모델의 다양한 API 공급자 간 가격 비교.

외부 링크

LLM Stats Artificial Analysis