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Granite 4.0 Micro

IBM开源权重Apache 2.0 · 商用许可

描述

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.

发布日期
2025-09-22
参数规模
7.0B
上下文长度
131K
支持模态
text

能力雷达图

17
general
18
coding
11
reasoning
25
science
13
agents
0
multimodal

排行榜排名

领域#排名分数来源
代码能力榜596
10.0
AA
通用能力榜614
17.0
AA
科学能力599
17.0
AA

基准测试分数 (LLM Stats)

(LLM Stats (zeroeval))

Chat

IFEvalGoogle Research (2023)63.0%自报

General

MMLU60.4%自报
TruthfulQA58.1%自报
AlpacaEval 2.035.2%自报
Arena Hard26.7%自报
PopQA22.9%自报

Math

GSM8k70.1%自报

Reasoning

HumanEvalOpenAI (2021)82.4%自报
HumanEval+78.3%自报
BIG-Bench Hard55.7%自报
DROP46.2%自报

Safety

AttaQ86.1%自报

AA 评测指数

(Artificial Analysis)
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))
44.7
Gpqa(NYU + Cohere + Anthropic (2023))
33.6
Ifbench(Google Research (2023))
24.8
Livecodebench(UC Berkeley + MIT + Cornell (2024))
18.0
Tau2(Sierra + U Toronto + Vector Institute (2025))
12.6
Lcr(Artificial Analysis)
7.0
Math Index(Artificial Analysis)
6.0
Aime 25(MAA (Mathematical Association of America))
6.0
Intelligence Index(Artificial Analysis)
5.1
Hle(Center for AI Safety + Scale AI (2025))
5.0
Terminalbench Hard(Stanford × Laude Institute (2026))
1.5

LLM Stats 分类评分

(LLM Stats (zeroeval))
Safety
90
Code
80
Instruction Following
60
Language
60
Legal
60
Math
60
Structured Output
60
Finance
60
General
60
Healthcare
60
Reasoning
50
Chat
40
Creativity
30
Writing
30

定价

输入价格免费
输出价格免费
混合价格(3:1)免费

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

2 个供应商

最便宜: OpenRouter最贵: Kilo Gateway
供应商输入输出
1OpenRouter最便宜
$0.017
$0.112
2Kilo Gateway
$0.017
$0.112

比较该模型在不同 API 供应商之间的定价。

外部链接