开放权重模型比较

Name: 开放性
Creator: Artificial Analysis
License: https://artificialanalysis.ai/docs/legal/Terms-of-Use.pdf

从质量、性能、推理速度、上下文窗口、参数量和许可证详情等关键指标比较和分析开放权重 AI 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。

如需了解我们方法论的更多详情，请参阅常见问题。

MiMo-V2.6-Pro 和

DeepSeek V4.1 Flash 1017 (max) 是智能得分最高的开放权重模型，其次是

GLM-5.3 (max) 和

Step 5 Preview。

开放性

Artificial Analysis Openness Index · Higher is better

智能

Artificial Analysis Intelligence Index · Higher is better

开放性

Artificial Analysis Openness Index：得分

Openness Index 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）

开放权重模型进展

开放权重与专有模型的智能水平进展

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

Artificial Analysis Intelligence Index v4.3.2 includes: 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. See Intelligence Index methodology for further details, including a breakdown of each evaluation and how we run them.

Indicates whether the model weights are available. Models are labelled as 'Commercial Use Restricted' if commercial use is limited by conditions, and as 'Non-commercial' if the license prohibits commercial use.

各实验室开放权重语言模型智能随时间的变化

各规模开放权重模型智能随时间的变化

Tiny: Less than or equal to 4B parameters. These are usually the smallest models in terms of resource demand.
Small: Less than 40B parameters.
Medium: Between 40B-150B parameters.
Large: Over 150B parameters.

智能

Artificial Analysis Intelligence Index

Evaluations

Evaluations measured independently by Artificial Analysis · AA-PersonalityBench scores are percentile ranks from 1 to 100

AA-Briefcase v1.1

Agentic knowledge work, Elo

AA-Omniscience Accuracy

Knowledge

AA-Omniscience Non-Hallucination Rate

1 - hallucination rate

AutomationBench-AA

Agentic SaaS workflows

GDPval-AA v2.1

Agentic real-world work tasks, Elo

Humanity's Last Exam

Reasoning & knowledge

GDP.pdf

Professional document reasoning, All-pass

Terminal-Bench 4.0

Agentic coding & terminal use

AA-LCR v1.1

Long context reasoning

SciCodeUnder review

Coding

CritPt

Physics reasoning

Terminal-Bench-Science 0.1New

Agentic scientific research workflows in a terminal

FrontierCode 1.1New

Agentic software engineering in open-source repositories

AA-AnalystAgent

Quantitative analysis on spreadsheets & documents

Harvey LAB-AA v1.1Updated

Legal agentic work, Hallucination-Gated All-Pass Rate

EnterpriseOps-Gym-AA

Agentic business operations

AA-3DNew

Agentic interactive 3D experiences, Elo

Code2Video-AANew

Product and brand videos designed in code, Elo

ITBench-AA

Kubernetes incident root-cause analysis

MLCR-AAUpdated

Medical long context reasoning

MMMU-Pro

Visual reasoning

AA-PersonalityBench: Expressiveness ScoreNew

Rich, varied, well-crafted language

AA-PersonalityBench: Organization ScoreNew

Well-structured, scannable, answer-first

AA-PersonalityBench: Transparency ScoreNew

Truthful, acknowledges uncertainty, non-sycophantic

AA-PersonalityBench: Slop ScoreNew

Use of filler and generic language

While model intelligence generally translates across use cases, specific evaluations may be more relevant for certain use cases.

规模

按模型规模划分的 Intelligence Index

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)

The total number of trainable weights and biases in the model, expressed in billions. These parameters are learned during training and determine the model's ability to process and generate responses.

The number of parameters actually executed during each inference forward pass, expressed in billions. For Mixture of Experts (MoE) models, a routing mechanism selects a subset of experts per token, resulting in fewer active than total parameters. Dense models use all parameters, so active equals total.

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

The total number of trainable weights and biases in the model, expressed in billions. These parameters are learned during training and determine the model's ability to process and generate responses.

上下文窗口

Context window: tokens limit · Higher is better

Larger context windows are relevant to RAG (Retrieval Augmented Generation) LLM workflows which typically involve reasoning and information retrieval of large amounts of data.

Maximum number of combined input & output tokens. Output tokens commonly have a significantly lower limit (varied by model).

							权重		服务商基准测试
MiMo-V2.6-Pro	Xiaomi	46	1.0T 推理时启用 42B 个参数	1M	$0.2	56	🤗		查看
DeepSeek V4.1 Flash 1017 (Max)	DeepSeek	45	552B 推理时启用 16B 个参数	1M	$0.2	169	🤗	+19	查看
GLM-5.3 (Max)	Z AI	45	753B 推理时启用 40B 个参数	1M	$0.9	90	🤗	+24	查看
Step 5 Preview	StepFun	44	600B 推理时启用 27B 个参数	1M	$0.5	192	🤗		查看
Muse Spark Open (Xhigh)	Meta	39	816B 推理时启用 42B 个参数	1M	$0.8	199	🤗	+3	查看
Qwen3.8 27B (Xhigh)	Alibaba	34	27B	256k	$0.5	43	🤗	+9	查看
K2 Horizon 375B A23B	Institute of Foundation Models	31	375B 推理时启用 23B 个参数	524k	$0	929	🤗		查看
Beam 1.0	Reflection	30	501B 推理时启用 23B 个参数	1M	$0.2	380	🤗	+2	查看
Nemotron 3.5 Super VL	NVIDIA	26	120B 推理时启用 12B 个参数	1M	$0.1	454	🤗	+5	查看
Inkling (Xhigh)	Thinking Machines	25	975B 推理时启用 41B 个参数	1M	$0.7	178	🤗	+4	查看

开放权重模型比较

开放性

智能

总参数量

开放性

Artificial Analysis Openness Index：得分

开放权重模型进展

开放权重与专有模型的智能水平进展

Artificial Analysis Intelligence Index

Open Weights

各实验室开放权重语言模型智能随时间的变化

Artificial Analysis Intelligence Index

各规模开放权重模型智能随时间的变化

Artificial Analysis Intelligence Index

Model Size Classifications

智能

Artificial Analysis Intelligence Index

Artificial Analysis Intelligence Index

Evaluations

Intelligence Evaluation Relevance

Artificial Analysis Intelligence Index

规模

按模型规模划分的 Intelligence Index

Artificial Analysis Intelligence Index

模型规模：总参数量与活跃参数量

Total Parameters

Active Parameters at Inference Time

Intelligence Index 与活跃参数

Artificial Analysis Intelligence Index

Active Parameters at Inference Time

Intelligence Index 与总参数量

Artificial Analysis Intelligence Index

Total Parameters

上下文窗口

上下文窗口

Context Window for RAG

Context Window

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