Vergleich großer KI-Modelle mit offenen Gewichten (>150B)

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

KI-Modelle mit offenen Gewichten und mehr als 150B Parametern.

Modelle gelten als Modelle mit offenen Gewichten (häufig auch als Open Source bezeichnet), wenn ihre Gewichte zum Download verfügbar sind. Dadurch können sie auf der eigenen Infrastruktur gehostet und beispielsweise durch Fine-Tuning angepasst werden.

Weitere Details, auch zu unserer Methodik, finden Sie in unseren FAQs.

Kimi K3 (max) und

Qwen3.8 2.4T A95B weisen unter den großen Modellen mit offenen Gewichten, definiert als Modelle mit >150B Parametern die höchste Intelligenz auf, gefolgt von

DeepSeek V4 Pro 0813 (max) und

GLM-5.2 (max).

Wichtigste Ergebnisse

Offenheit

Artificial Analysis Openness Index · Higher is better

Intelligenz

Artificial Analysis Intelligence Index · Higher is better

Parameter insgesamt

Trainierbare Parameter in Milliarden

Offenheit

Artificial Analysis Openness Index: Score

Openness Index assesses model openness on a 0 to 100 normalized scale (higher is more open)

Reasoning models are indicated by a lightbulb icon

Intelligenz

Artificial Analysis Intelligence Index

Artificial Analysis Intelligence Index v4.1.1 incorporates 9 evaluations: GDPval-AA v2, 𝜏³-Banking, Terminal-Bench v2.1, SciCode, Humanity's Last Exam, GPQA Diamond, CritPt, AA-Omniscience, AA-LCR

Reasoning models are indicated by a lightbulb icon

Artificial Analysis Intelligence Index v4.1.1 includes: GDPval-AA v2, 𝜏³-Banking, Terminal-Bench v2.1, SciCode, Humanity's Last Exam, GPQA Diamond, CritPt, AA-Omniscience, AA-LCR. See Intelligence Index methodology for further details, including a breakdown of each evaluation and how we run them.

Intelligence Evaluations

Intelligence evaluations measured independently by Artificial Analysis · Higher is better

GDPval-AA v2

Agentic real-world work tasks, (Elo-500)/2000

𝜏³-BankingUpdated

Agentic tool use

Terminal-Bench v2.1

Agentic coding & terminal use

SciCode

Coding

Humanity's Last ExamUpdated

Reasoning & knowledge

GPQA Diamond

Scientific reasoning

CritPt

Physics reasoning

AA-Omniscience AccuracyUpdated

Knowledge

AA-Omniscience Non-Hallucination RateUpdated

1 - hallucination rate

AA-LCRUpdated

Long context reasoning

AA-Briefcase

Agentic knowledge work, Elo

AutomationBench-AA

Agentic SaaS workflows

Harvey LAB-AA

Legal agentic work, criterion pass rate

EnterpriseOps-Gym-AA

Agentic business operations

AA-AnalystAgentNew

Quantitative analysis on spreadsheets & documents

IFBench

Instruction following

APEX-Agents-AA

Long-horizon agentic tasks

ITBench-AA

Kubernetes incident root-cause analysis

MMMU-Pro

Visual reasoning

Reasoning models are indicated by a lightbulb icon

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

Größe

Model Size: Total and Active Parameters

Comparison between total model parameters and parameters active during inference

Reasoning models are indicated by a lightbulb icon

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 vs. Active Parameters

Artificial Analysis Intelligence Index · Active parameters at inference time

Most attractive quadrant

Pareto line

Reasoning models are indicated by a lightbulb icon

Intelligence Index vs. Total Parameters

Artificial Analysis Intelligence Index · Size in parameters (billions)

Most attractive quadrant

Pareto line

Reasoning models are indicated by a lightbulb icon

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.

Kontextfenster

Context Window

Context window: tokens limit · Higher is better

Reasoning models are indicated by a lightbulb icon

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).

Weitere Details

							Gewichte		Anbieter-Benchmarks
Kimi K3 (max)	Kimi	60	2.8T 104B während der Inferenz aktiv	1M	$2.3	36	🤗	+12	Anzeigen
Qwen3.8 2.4T A95B	Alibaba	58	2.4T 95B während der Inferenz aktiv	984k	$1.2	21	🤗	+3	Anzeigen
DeepSeek V4 Pro 0813 (Reasoning, Max Effort)	DeepSeek	53	1.6T 49B während der Inferenz aktiv	1M	$0.7	65	🤗	+5	Anzeigen
GLM-5.2 (max)	Z AI	53	753B 40B während der Inferenz aktiv	1M	$0.9	69	🤗	+19	Anzeigen
DeepSeek V4 Flash 0731 (Reasoning, Max Effort)	DeepSeek	52	284B 13B während der Inferenz aktiv	1M	$0.2	120	🤗	+13	Anzeigen
Kimi K3 (low)	Kimi	48	2.8T 104B während der Inferenz aktiv	1M	$2.3	36	🤗		Anzeigen
Motif 3	Motif Technologies	47	314B 13.2B während der Inferenz aktiv	262k	-	-	Nicht verfügbar	-	Anzeigen
MiniMax-M3	MiniMax	45	428B 23B während der Inferenz aktiv	1M	$0.2	126	🤗	+9	Anzeigen
DeepSeek V4 Pro (Reasoning, Max Effort)	DeepSeek	45	1.6T 49B während der Inferenz aktiv	1M	$0.2	71	🤗	+9	Anzeigen
DeepSeek V4 Pro (Reasoning, High Effort)	DeepSeek	44	1.6T 49B während der Inferenz aktiv	1M	$0.2	70	🤗	+6	Anzeigen
Kimi K2.7 Code	Kimi	43	1T 32B während der Inferenz aktiv	256k	$0.7	47	🤗	+7	Anzeigen
MiMo-V2.5-Pro	Xiaomi	43	1.0T 42B während der Inferenz aktiv	1M	$0.2	49	🤗	+2	Anzeigen

Vergleich großer KI-Modelle mit offenen Gewichten (>150B)

Offenheit

Intelligenz

Parameter insgesamt

Offenheit

Artificial Analysis Openness Index: Score

Intelligenz

Artificial Analysis Intelligence Index

Artificial Analysis Intelligence Index

Intelligence Evaluations

Intelligence Evaluation Relevance

Artificial Analysis Intelligence Index

Größe

Model Size: Total and Active Parameters

Total Parameters

Active Parameters at Inference Time

Intelligence Index vs. Active Parameters

Artificial Analysis Intelligence Index

Active Parameters at Inference Time

Intelligence Index vs. Total Parameters

Artificial Analysis Intelligence Index

Total Parameters

Kontextfenster

Context Window

Context Window for RAG

Context Window

Weitere Details