Comparação de modelos médios de IA de pesos abertos (40B-150B)

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

Modelos de IA de pesos abertos com 40B a 150B parâmetros.

Os modelos são considerados de pesos abertos (também chamados frequentemente de código aberto) quando seus pesos estão disponíveis para download. Isso permite a auto-hospedagem em sua própria infraestrutura e a personalização do modelo, por exemplo, por meio de ajuste fino.

Para mais detalhes sobre nossa metodologia, consulte as perguntas frequentes.

Ling-3.0-flash-VL e

Ling 3.0 Flash são os modelos com maior inteligência entre os modelos médios de pesos abertos, definidos como aqueles com 40B-150B parâmetros, seguidos por

Qwen3.5 122B A10B (Non-reasoning) e

Qwen3.5 122B A10B.

Destaques

Abertura

Artificial Analysis Openness Index · Higher is better

Updated

Inteligência

Artificial Analysis Intelligence Index · Higher is better

Parâmetros totais

Parâmetros treináveis em bilhões

Abertura

Artificial Analysis Openness Index: Score

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

Inteligência

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

Estimate (independent evaluation forthcoming)

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.

Tamanho

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

Intelligence Index vs. Total Parameters

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.

Janela de contexto

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).

Mais detalhes

							Pesos		Benchmarks de provedores
Ling-3.0-flash-VL	InclusionAI	25	124B 5.5B ativos durante a inferência	262k	-	144	🤗		Ver
Ling 3.0 Flash	InclusionAI	21	124B 5.1B ativos durante a inferência	262k	$0.0	332	Não disponível		Ver
Qwen3.5 122B A10B (Non-reasoning)	Alibaba	18	125B 10B ativos durante a inferência	262k	$0.7	139	🤗		Ver
Qwen3.5 122B A10B (Reasoning)	Alibaba	16	125B 10B ativos durante a inferência	262k	$0.7	127	🤗	+2	Ver
Mistral Medium 3.5	Mistral	15	128B	256k	$1.2	142	🤗		Ver
Nemotron 3 Super 120B A12B (Reasoning)	NVIDIA	14	120.6B 12.7B ativos durante a inferência	1M	$0.2	172	🤗		Ver
gpt-oss-120b (high)	OpenAI	12	117B 5.1B ativos durante a inferência	131k	$0.2	220	🤗	+17	Ver
HyperNova 60B 2605 (high, based on gpt-oss-120b)	Multiverse Computing	12	58.7B 4.8B ativos durante a inferência	131k	$0.1	348	🤗		Ver
K2 Think V2	MBZUAI Institute of Foundation Models	11	70B	262k	-	-	🤗	-	Ver
LongCat Flash Lite	LongCat	11	68.5B 3B ativos durante a inferência	256k	-	-	🤗	-	Ver
Mistral Small 4 (Reasoning)	Mistral	11	119B 6.5B ativos durante a inferência	256k	$0.2	160	🤗		Ver
Qwen3 Next 80B A3B (Reasoning)	Alibaba	11	80B 3B ativos durante a inferência	262k	$0.3	198	🤗		Ver

Comparação de modelos médios de IA de pesos abertos (40B-150B)

Abertura

Inteligência

Parâmetros totais

Abertura

Artificial Analysis Openness Index: Score

Inteligência

Artificial Analysis Intelligence Index

Artificial Analysis Intelligence Index

Intelligence Evaluations

Intelligence Evaluation Relevance

Artificial Analysis Intelligence Index

Tamanho

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

Janela de contexto

Context Window

Context Window for RAG

Context Window

Mais detalhes