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

Offenheit

Artificial Analysis Openness Index: Score

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

Fortschritt bei Modellen mit offenen Gewichten

Progress in Open Weights vs. Proprietary Intelligence

Artificial Analysis Intelligence Index v4.3 incorporates 10 evaluations: AA-Briefcase, GDPval-AA v2, AutomationBench-AA, Terminal-Bench v4.0, SciCode, Humanity's Last Exam, GDP.pdf, CritPt, AA-Omniscience, AA-LCR v1.1

Artificial Analysis Intelligence Index v4.3 includes: AA-Briefcase, GDPval-AA v2, AutomationBench-AA, Terminal-Bench v4.0, 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.

Intelligenzentwicklung von Sprachmodellen mit offenen Gewichten nach Modelllabor

Artificial Analysis Intelligence Index v4.3 includes: AA-Briefcase, GDPval-AA v2, AutomationBench-AA, Terminal-Bench v4.0, 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.

Intelligenzentwicklung von Modellen mit offenen Gewichten nach Größe

Artificial Analysis Intelligence Index v4.3 incorporates 10 evaluations: AA-Briefcase, GDPval-AA v2, AutomationBench-AA, Terminal-Bench v4.0, SciCode, Humanity's Last Exam, GDP.pdf, CritPt, AA-Omniscience, AA-LCR v1.1

Artificial Analysis Intelligence Index v4.3 includes: AA-Briefcase, GDPval-AA v2, AutomationBench-AA, Terminal-Bench v4.0, 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.

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.

Intelligenz

Artificial Analysis Intelligence Index

Artificial Analysis Intelligence Index v4.3 incorporates 10 evaluations: AA-Briefcase, GDPval-AA v2, AutomationBench-AA, Terminal-Bench v4.0, SciCode, Humanity's Last Exam, GDP.pdf, CritPt, AA-Omniscience, AA-LCR v1.1

Artificial Analysis Intelligence Index v4.3 includes: AA-Briefcase, GDPval-AA v2, AutomationBench-AA, Terminal-Bench v4.0, 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.

Intelligence Evaluations

Intelligence evaluations measured independently by Artificial Analysis · Higher is better

AA-Briefcase

Agentic knowledge work, (Elo-500)/2000

GDPval-AA v2

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

AutomationBench-AAUpdated

Agentic SaaS workflows

Terminal-Bench v4.0New

Agentic coding & terminal use

SciCode

Coding

Humanity's Last Exam

Reasoning & knowledge

GDP.pdfNew

Professional document reasoning, All-pass

CritPt

Physics reasoning

AA-Omniscience Accuracy

Knowledge

AA-Omniscience Non-Hallucination Rate

1 - hallucination rate

AA-LCR v1.1

Long context reasoning

Harvey LAB-AA

Legal agentic work, criterion pass rate

EnterpriseOps-Gym-AA

Agentic business operations

AA-AnalystAgent

Quantitative analysis on spreadsheets & documents

IFBench

Instruction following

𝜏³-Banking

Agentic tool use

APEX-Agents-AA

Long-horizon agentic tasks

ITBench-AA

Kubernetes incident root-cause analysis

MMMU-Pro

Visual reasoning

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

Artificial Analysis Intelligence Index v4.3 includes: AA-Briefcase, GDPval-AA v2, AutomationBench-AA, Terminal-Bench v4.0, 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.

Größe

Intelligence Index nach Modellgröße

Artificial Analysis Intelligence Index v4.3 incorporates 10 evaluations: AA-Briefcase, GDPval-AA v2, AutomationBench-AA, Terminal-Bench v4.0, SciCode, Humanity's Last Exam, GDP.pdf, CritPt, AA-Omniscience, AA-LCR v1.1

Artificial Analysis Intelligence Index v4.3 includes: AA-Briefcase, GDPval-AA v2, AutomationBench-AA, Terminal-Bench v4.0, 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.

Model Size: Total and Active Parameters

Comparison between total model parameters and parameters active during inference

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

Artificial Analysis Intelligence Index v4.3 includes: AA-Briefcase, GDPval-AA v2, AutomationBench-AA, Terminal-Bench v4.0, 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.

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. Total Parameters

Artificial Analysis Intelligence Index · Size in parameters (billions)

Most attractive quadrant

Pareto line

Artificial Analysis Intelligence Index v4.3 includes: AA-Briefcase, GDPval-AA v2, AutomationBench-AA, Terminal-Bench v4.0, 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.

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

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).

							Gewichte		Anbieter-Benchmarks
GLM-5.3 (max)	Z AI	45	753B 40B während der Inferenz aktiv	1M	$0.9	73	🤗	+14	Anzeigen
Kimi K3 (max)	Kimi	44	2.8T 104B während der Inferenz aktiv	1M	$2.3	35	🤗	+14	Anzeigen
GLM-5.3-Flash	Z AI	42	320B 18B während der Inferenz aktiv	1M	$0.1	114	🤗	+16	Anzeigen
Qwen3.8 2.4T A95B	Alibaba	40	2.4T 95B während der Inferenz aktiv	984k	$1.2	41	🤗	+3	Anzeigen
DeepSeek V4.1 Flash (Reasoning, Max Effort)	DeepSeek	40	552B 16B während der Inferenz aktiv	1M	$0.2	222	🤗	+2	Anzeigen
DeepSeek V4 Pro 0813 (Reasoning, Max Effort)	DeepSeek	36	1.6T 49B während der Inferenz aktiv	1M	$0.7	91	🤗	+7	Anzeigen
Qwen3.8 27B (xhigh)	Alibaba	34	27B	256k	$0.4	46	🤗	+5	Anzeigen
K2 Horizon 375B A23B	MBZUAI Institute of Foundation Models	31	375B 23B während der Inferenz aktiv	524k	-	-	🤗	-	Anzeigen
MiniMax-M3	MiniMax	30	428B 23B während der Inferenz aktiv	1M	$0.2	103	🤗	+12	Anzeigen
Inkling (xhigh)	Thinking Machines	26	975B 41B während der Inferenz aktiv	1M	$0.7	88	🤗	+3	Anzeigen
Nemotron 3 Ultra 550B A55B (Reasoning)	NVIDIA	23	550B 55B während der Inferenz aktiv	262k	$0.5	204	🤗	+6	Anzeigen
Muse Glimmer (high)	Meta	18	30B	131k	$0.2	91	🤗		Anzeigen
Mistral Medium 3.5	Mistral	15	128B	256k	$1.2	147	🤗		Anzeigen
gpt-oss-120b (high)	OpenAI	12	117B 5.1B während der Inferenz aktiv	131k	$0.2	226	🤗	+17	Anzeigen

Vergleich von Modellen mit offenen Gewichten

Offenheit

Intelligenz

Parameter insgesamt

Offenheit

Artificial Analysis Openness Index: Score

Fortschritt bei Modellen mit offenen Gewichten

Progress in Open Weights vs. Proprietary Intelligence

Intelligenzentwicklung von Sprachmodellen mit offenen Gewichten nach Modelllabor

Intelligenzentwicklung von Modellen mit offenen Gewichten nach Größe

Intelligenz

Artificial Analysis Intelligence Index

Intelligence Evaluations

Größe

Intelligence Index nach Modellgröße

Model Size: Total and Active Parameters

Intelligence Index vs. Active Parameters

Intelligence Index vs. Total Parameters

Kontextfenster

Context Window

Weitere Details

Vergleich von Modellen mit offenen Gewichten

Offenheit

Intelligenz

Parameter insgesamt

Offenheit

Artificial Analysis Openness Index: Score

Fortschritt bei Modellen mit offenen Gewichten

Progress in Open Weights vs. Proprietary Intelligence

Artificial Analysis Intelligence Index

Open Weights

Intelligenzentwicklung von Sprachmodellen mit offenen Gewichten nach Modelllabor

Artificial Analysis Intelligence Index

Intelligenzentwicklung von Modellen mit offenen Gewichten nach Größe

Artificial Analysis Intelligence Index

Model Size Classifications

Intelligenz

Artificial Analysis Intelligence Index

Artificial Analysis Intelligence Index

Intelligence Evaluations

Intelligence Evaluation Relevance

Artificial Analysis Intelligence Index

Größe

Intelligence Index nach Modellgröße

Artificial Analysis Intelligence Index

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