Gemini 2.0 Flash (Feb '25)
GoogleGeminiProprietary
설명
Next-generation model featuring superior speed, native tool use, multimodal generation, and a 1M token context window. Supports audio, images, video, and text input with capabilities for structured outputs, function calling, code execution, search, and multimodal operations.
출시일
2025-02-05
파라미터
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컨텍스트 길이
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모달리티
image, text
능력 레이더
29
general
33
coding
39
reasoning
44
science
37
agents
80
multimodal
랭킹
벤치마크 점수 (LLM Stats)
(LLM Stats (zeroeval))Audio
CoVoST2
39.2%자체 보고
Language
MMLU-Pro
76.4%자체 보고
Long Context
MRCR
69.2%자체 보고
Math
MATH
89.7%자체 보고
AIME 2024
73.3%자체 보고
HiddenMath
63.0%자체 보고
Multimodal
MMMU
75.4%자체 보고
Vibe-Eval
56.3%자체 보고
Reasoning
Natural2Code
92.9%자체 보고
FACTS Grounding
83.6%자체 보고
GPQANYU + Cohere + Anthropic (2023)
74.2%자체 보고
Bird-SQL (dev)
56.9%자체 보고
LiveCodeBench
35.1%자체 보고
Vision
EgoSchema
71.5%자체 보고
AA 평가 지수
(Artificial Analysis)Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))93.0
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))77.9
Gpqa(NYU + Cohere + Anthropic (2023))62.3
Ifbench(Google Research (2023))40.2
Livecodebench(UC Berkeley + MIT + Cornell (2024))33.4
Aime(MAA (Mathematical Association of America))33.0
Lcr(Artificial Analysis)31.3
Tau2(Sierra + U Toronto + Vector Institute (2025))29.5
Math Index(Artificial Analysis)21.7
Aime 25(MAA (Mathematical Association of America))21.7
Intelligence Index(Artificial Analysis)8.9
Hle(Center for AI Safety + Scale AI (2025))4.3
Terminalbench Hard(Stanford × Laude Institute (2026))3.8
LLM Stats 카테고리 점수
(LLM Stats (zeroeval))Legal80
Math80
Factuality80
Finance80
Grounding80
Long Context70
Reasoning70
General70
Healthcare70
Vision70
Language60
Multimodal60
Physics60
Biology60
Chemistry60
Speech To Text40
Audio40
Code40
가격
입력 가격무료
출력 가격무료
혼합 가격 (3:1)무료
속도
토큰/초0.0
첫 토큰 지연0.00s
첫 응답 지연0.00s
공급자 가격 순위
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