Snowflake: inteligência, desempenho e preço dos modelos

Snowflake
Snowflake

Análise dos modelos oferecidos por Snowflake em métricas importantes como qualidade, preço, velocidade de saída, latência, janela de contexto e outras. Esta análise ajuda você a escolher o melhor modelo oferecido por Snowflake para seu caso de uso.

Mais inteligente

#1
Llama 4 Maverick
Llama 4 Maverick
14

Intelligence Index

1 modelo no total

Mais rápido

#1
Llama 4 Maverick
Llama 4 Maverick
131 t/s

Velocidade de saída

1 modelo no total

Menor preço

#1
Llama 4 Maverick
Llama 4 Maverick
$0.50

Preço combinado (por 1M de tokens)

1 modelo no total

Atualmente, Snowflake oferece o Llama 4 Maverick.

Destaques

Inteligência

Artificial Analysis Intelligence Index · Higher is better

Velocidade

Output tokens per second · Higher is better

Preço

USD per 1M tokens (blended) · Lower is better

Avaliações de inteligência

Artificial Analysis Intelligence Index

Artificial Analysis Intelligence Index v4.1 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 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-Banking

Agentic tool use

Terminal-Bench v2.1

Agentic coding & terminal use

SciCode

Coding

Humanity's Last Exam

Reasoning & knowledge

GPQA Diamond

Scientific reasoning

CritPt

Physics reasoning

AA-Omniscience Accuracy

Knowledge

AA-Omniscience Non-Hallucination Rate

1 - hallucination rate

AA-LCR

Long context reasoning

AA-Briefcase

Agentic knowledge work, Elo

AutomationBench-AA

Agentic SaaS workflows

No data available
Harvey LAB-AA

Legal agentic work, criterion pass rate

No data available
EnterpriseOps-Gym-AANew

Agentic business operations

No data available
IFBench

Instruction following

APEX-Agents-AA

Long-horizon agentic tasks

No data available
ITBench-AA

Kubernetes incident root-cause analysis

No data available
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.

Artificial Analysis Intelligence Index v4.1 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 Index vs. Price

Blended at 7:2:1 (cache-input-output) · USD per 1M tokens (blended)
Most attractive quadrant
Reasoning models are indicated by a lightbulb icon

While higher intelligence models are typically more expensive, they do not all follow the same price-quality curve.

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).

Preços

Intelligence Index vs. Price

Blended at 7:2:1 (cache-input-output) · USD per 1M tokens (blended)
Most attractive quadrant
Reasoning models are indicated by a lightbulb icon

While higher intelligence models are typically more expensive, they do not all follow the same price-quality curve.

Resumo do desempenho

Output Speed vs. Price

Output speed: output tokens per second · USD per 1M tokens (blended)
Most attractive quadrant
Reasoning models are indicated by a lightbulb icon

Tokens per second received while the model is generating tokens (ie. after first chunk has been received from the API for models which support streaming).

Price per token, shown in USD per million tokens. Price is a blend of cache hit, input, and output token prices using the selected ratio (default 7:2:1 cache-input-output).

Velocidade

Medida pela velocidade de saída (tokens por segundo)

Output Speed

Output tokens per second · Higher is better
Reasoning models are indicated by a lightbulb icon

Tokens per second received while the model is generating tokens (ie. after first chunk has been received from the API for models which support streaming).

Figures represent performance of the model's first-party API (e.g. OpenAI for o1) or the median across providers where a first-party API is not available (e.g. Meta's Llama models).

Latência

Medida pelo tempo (segundos) até o primeiro token

Latency: Time To First Token

Seconds to first token received · Lower is better
Reasoning models are indicated by a lightbulb icon

Time to first token received, in seconds, after API request sent. For reasoning models which share reasoning tokens, this will be the first reasoning token. For models which do not support streaming, this represents time to receive the completion.

Figures represent performance of the model's first-party API (e.g. OpenAI for o1) or the median across providers where a first-party API is not available (e.g. Meta's Llama models).

Tempo de resposta de ponta a ponta

Seconds to output 500 tokens, calculated based on time to first token, 'thinking' time for reasoning models, and output speed

End-to-End Response Time vs. Price

End-to-end response time: end-to-end seconds to output 500 tokens · USD per 1M tokens (blended)
Most attractive quadrant

Price per token, shown in USD per million tokens. Price is a blend of cache hit, input, and output token prices using the selected ratio (default 7:2:1 cache-input-output).

Análises adicionais
Logo: OpenAI
gpt-oss-120b (low)
131k
Aberto
15
$0.03
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Modelo
Provedor
Logo: Meta
Llama 4 Maverick
131k
Aberto
14
$0.06
131
1.13
4.95
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Modelo
Provedor

Principais definições

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

Perguntas frequentes

Perguntas comuns sobre Snowflake

Snowflake oferece 1 modelo que acompanhamos: Llama 4 Maverick.

O modelo mais inteligente disponível em Snowflake é Llama 4 Maverick, com 14 pontos no Intelligence Index.

O modelo mais rápido em velocidade de saída oferecido por Snowflake é Llama 4 Maverick, com 131.0 tokens por segundo.

O modelo com o menor tempo até o primeiro token da resposta final em Snowflake é Llama 4 Maverick, com 1.13s. Uma latência menor significa um tempo de resposta inicial mais rápido.

O modelo mais acessível em preço combinado oferecido por Snowflake é Llama 4 Maverick, com $0.50 por 1M de tokens (proporção de 7:2:1 entre tokens de acerto do cache, entrada e saída).

Sim. Todos os 1 modelos oferecidos por Snowflake são compatíveis com o modo JSON para saída estruturada.

Sim. Todos os 1 modelos oferecidos por Snowflake são de pesos abertos.

Sim. O desempenho de um provedor pode variar ao longo do tempo devido a mudanças na infraestrutura, balanceamento de carga e atualizações. Avaliamos continuamente todos os provedores e exibimos as tendências históricas de desempenho nos gráficos de evolução ao longo do tempo.

Ao escolher um modelo oferecido por Snowflake, considere a inteligência (para tarefas que exigem qualidade), a velocidade de saída (para tarefas que exigem alta vazão), a latência (para aplicações interativas que precisam de respostas iniciais rápidas), o preço (para cargas de trabalho atentas aos custos) e recursos como tamanho da janela de contexto, modo JSON e chamadas de funções.