Comparação de modelos grandes de IA de pesos abertos (>150B)

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

Modelos de IA de pesos abertos com mais de 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.

Kimi K3 (max) e

Qwen3.8 2.4T A95B são os modelos com maior inteligência entre os modelos grandes de pesos abertos, definidos como aqueles com >150B parâmetros, seguidos por

DeepSeek V4 Pro 0813 (max) e

GLM-5.2 (max).

Destaques

Abertura

Artificial Analysis Openness Index · Higher is better

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)

Reasoning models are indicated by a lightbulb icon

Inteligência

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.

Tamanho

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.

Janela de contexto

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).

Mais detalhes

							Pesos		Benchmarks de provedores
Kimi K3 (max)	Kimi	60	2.8T 104B ativos durante a inferência	1M	$2.3	36	🤗	+12	Ver
Qwen3.8 2.4T A95B	Alibaba	58	2.4T 95B ativos durante a inferência	984k	$1.2	21	🤗	+3	Ver
DeepSeek V4 Pro 0813 (Reasoning, Max Effort)	DeepSeek	53	1.6T 49B ativos durante a inferência	1M	$0.7	68	🤗	+5	Ver
GLM-5.2 (max)	Z AI	53	753B 40B ativos durante a inferência	1M	$0.9	70	🤗	+20	Ver
DeepSeek V4 Flash 0731 (Reasoning, Max Effort)	DeepSeek	52	284B 13B ativos durante a inferência	1M	$0.2	123	🤗	+13	Ver
Kimi K3 (low)	Kimi	48	2.8T 104B ativos durante a inferência	1M	$2.3	37	🤗		Ver
Motif 3	Motif Technologies	47	314B 13.2B ativos durante a inferência	262k	-	-	Não disponível	-	Ver
MiniMax-M3	MiniMax	45	428B 23B ativos durante a inferência	1M	$0.2	126	🤗	+9	Ver
DeepSeek V4 Pro (Reasoning, Max Effort)	DeepSeek	45	1.6T 49B ativos durante a inferência	1M	$0.2	71	🤗	+9	Ver
DeepSeek V4 Pro (Reasoning, High Effort)	DeepSeek	44	1.6T 49B ativos durante a inferência	1M	$0.2	70	🤗	+6	Ver
Kimi K2.7 Code	Kimi	43	1T 32B ativos durante a inferência	256k	$0.7	47	🤗	+7	Ver
MiMo-V2.5-Pro	Xiaomi	43	1.0T 42B ativos durante a inferência	1M	$0.2	48	🤗	+2	Ver

Comparação de modelos grandes de IA de pesos abertos (>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