Granite 4.0 Micro
IBM오픈 웨이트Apache 2.0 · 상업적 사용 가능
설명
A preliminary version of the smallest model in the upcoming Granite 4.0 family, released May 2025. It utilizes a novel hybrid Mamba-2/Transformer, fine-grained mixture of experts (MoE) architecture (7B total parameters, 1B active at inference). This preview version is partially trained (2.5T tokens) but demonstrates significant memory efficiency and performance potential, validated for at least 128K context length without positional encoding.
출시일
2025-09-22
파라미터
7.0B
컨텍스트 길이
131K
모달리티
text
능력 레이더
15
general
17
coding
11
reasoning
20
science
13
agents
0
multimodal
랭킹
벤치마크 점수 (LLM Stats)
(LLM Stats (zeroeval))Code
HumanEvalOpenAI (2021)
82.4%자체 보고
Creativity
AlpacaEval 2.0
35.2%자체 보고
Arena Hard
26.7%자체 보고
Finance
MMLU
60.4%자체 보고
TruthfulQA
58.1%자체 보고
General
IFEvalGoogle Research (2023)
63.0%자체 보고
PopQA
22.9%자체 보고
Language
BIG-Bench Hard
55.7%자체 보고
Math
GSM8k
70.1%자체 보고
DROP
46.2%자체 보고
Reasoning
HumanEval+
78.3%자체 보고
Safety
AttaQ
86.1%자체 보고
AA 평가 지수
(Artificial Analysis)Math Index(Artificial Analysis)6.0
Intelligence Index(Artificial Analysis)2.0
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))0.4
Gpqa(NYU + Cohere + Anthropic (2023))0.3
Ifbench(Google Research (2023))0.2
Livecodebench(UC Berkeley + MIT + Cornell (2024))0.2
Tau2(Sierra + U Toronto + Vector Institute (2025))0.1
Scicode(UIUC + Argonne National Lab (2024))0.1
Aime 25(MAA (Mathematical Association of America))0.1
Lcr(Artificial Analysis)0.1
Hle(Center for AI Safety + Scale AI (2025))0.1
Terminalbench Hard(Stanford × Laude Institute (2026))0.0
LLM Stats 카테고리 점수
(LLM Stats (zeroeval))Safety90
Code80
Instruction Following60
Language60
Legal60
Math60
Structured Output60
Finance60
General60
Healthcare60
Reasoning50
Creativity30
Writing30
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
공급자 가격 순위
2개 공급자
최저가: OpenRouter최고가: Kilo Gateway
공급자입력출력
1OpenRouter최저가
$0.017
$0.112
2Kilo Gateway
$0.017
$0.112
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