微型开放权重 AI 模型比较（≤4B）
参数量不超过 4B 的开放权重 AI 模型。就资源需求而言，它们通常是最小的模型。
如果模型权重可供下载，我们便将其视为开放权重模型。这样用户就可以在自己的基础设施上自行托管，并通过微调等方式定制模型。
如需了解包括方法论在内的更多详情，请参阅常见问题。
K2 Horizon 3.7B 和 
MiniCPM5-2B 是智能得分最高的微型开放权重模型，定义为参数量不超过 4B 的模型，其次是 
G9v3-3B 和 
Granite 4.2 3B。开放性
Artificial Analysis 开放性指数：得分
开放性指数以 0 至 100 的标准化评分衡量模型的开放程度（分数越高，越开放）
智能
Artificial Analysis Intelligence Index
Artificial Analysis Intelligence Index v4.3.2 incorporates 10 evaluations: AA-Briefcase v1.1, GDPval-AA v2.1, AutomationBench-AA, Terminal-Bench 4.0, SciCode, Humanity's Last Exam, GDP.pdf, CritPt, AA-Omniscience, AA-LCR v1.1
Estimate (independent evaluation forthcoming)
Intelligence Evaluations
Intelligence evaluations measured independently by Artificial Analysis · Higher is better
AA-Briefcase v1.1Updated
Agentic knowledge work, (Elo-500)/2000
GDPval-AA v2.1Updated
Agentic real-world work tasks, (Elo-500)/2000
Agentic SaaS workflows
Agentic coding & terminal use
SciCodeUnder review
Coding
Reasoning & knowledge
Professional document reasoning, All-pass
CritPtUnder review
Physics reasoning
Knowledge
1 - hallucination rate
Long context reasoning
Legal agentic work, criterion pass rate
No data available
Agentic business operations
No data available
Agentic scientific research workflows in a terminal
No data available
Quantitative analysis on spreadsheets & documents
No data available
Kubernetes incident root-cause analysis
No data available
Visual reasoning
Medical long context reasoning
No data available
规模
模型规模：总参数量与活跃参数量
Comparison between total model parameters and parameters active during inference (billions)
Intelligence Index 与活跃参数
Artificial Analysis Intelligence Index · Active parameters at inference time (billions)
Most attractive quadrant
Pareto line
Intelligence Index 与总参数量
Artificial Analysis Intelligence Index · Size in parameters (billions)
Most attractive quadrant
Pareto line
上下文窗口
上下文窗口
Context window: tokens limit · Higher is better
更多详情
权重 | 服务商基准测试 | ||||||||
|---|---|---|---|---|---|---|---|---|---|
K2 Horizon 3.7B | Institute of Foundation Models | 16 | 3.7B | 524k | - | - | - | ||
MiniCPM5-2B | OpenBMB | 12 | 2.6B | 131k | - | - | - | ||
G9v3-3B | AI9Stars | 11 | 3B | 131k | - | - | | ||
Granite 4.2 3B | IBM | 9 | 3B | 131k | $0.0 | 221 |  | ||
MiniCPM5-1B (Reasoning) | OpenBMB | 9 | 1B | 128k | - | - | - | ||
MiniCPM5-1B (Non-reasoning) | OpenBMB | 9 | 1B | 128k | - | - | - | ||
Nanbeige4.1-3B |  Nanbeige | 8 | 3.9B | 256k | - | - | - | ||
LFM2.5-2.6B |  Liquid AI | 8 | 2.7B | 128k | - | - | | ||
Qwen3.5 2B (Reasoning) |  Alibaba | 7 | 2.3B | 262k | - | - | - | ||
Phi-4 Mini Instruct |  Microsoft | 6 | 3.8B | 128k | - | 45 | | ||
Qwen3.5 2B (Non-reasoning) | Alibaba | 6 | 2.3B | 262k | - | - | - | ||
Qwen3.5 0.8B (Reasoning) | Alibaba | 6 | 0.9B | 262k | - | - | - |