Google: inteligencia, rendimiento y precio de sus modelos

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

Google

Análisis de los modelos de Google en métricas clave como calidad, precio, velocidad de salida, latencia, ventana de contexto y más. Este análisis está pensado para ayudarte a elegir el mejor modelo ofrecido por Google para tu caso de uso.

Más inteligente

Claude Opus 5 (max)

Claude Opus 5 (xhigh)

Claude Fable 5 (with fallback)

Claude Opus 5 (high)

Claude Opus 5 (medium)

Índice de inteligencia

57 modelos en total

Más rápido

gpt-oss-120b (low) Vertex

407 t/s

gpt-oss-120b (high) Vertex

396 t/s

Gemini 3.5 Flash-Lite AI Studio

382 t/s

gpt-oss-20b (low) Vertex

315 t/s

gpt-oss-20b (high) Vertex

315 t/s

Velocidad de salida

57 modelos en total

Menor precio

Gemini 2.5 Flash-Lite (AI Studio)

$0.07

Gemini 2.5 Flash-Lite (AI Studio)

$0.07

gpt-oss-20b (high) Vertex

$0.09

gpt-oss-20b (low) Vertex

$0.09

gpt-oss-120b (high) Vertex

$0.12

Precio combinado (por 1M de tokens)

57 modelos en total

Indica un modelo de razonamiento

Google ofrece 57 modelos, cada uno con distintas características de inteligencia, rendimiento y precio. A continuación se comparan las métricas clave entre modelos.

En inteligencia, los mejores modelos en Google son Claude Opus 5 (max) (61), Claude Opus 5 (xhigh) (60) y Claude Fable 5 (with fallback) (60).
En velocidad de salida, los modelos más rápidos son gpt-oss-120b (low) Vertex (407 t/s), gpt-oss-120b (high) Vertex (396 t/s) y Gemini 3.5 Flash-Lite AI Studio (382 t/s).
En latencia, Gemini 2.5 Flash-Lite (AI Studio) (0.37s), Gemini 2.5 Flash (AI Studio) (0.54s) y Gemini 2.5 Flash (Vertex) (0.57s) ofrecen el menor tiempo hasta el primer token de respuesta.
En precios, Gemini 2.5 Flash-Lite (AI Studio) ($0.07), Gemini 2.5 Flash-Lite (AI Studio) ($0.07) y gpt-oss-20b (high) Vertex ($0.09) ofrecen los menores precios combinados por 1M de tokens.
En tamaño de ventana de contexto, Llama 4 Scout Vertex (1M), Claude Opus 5 (max) (1M) y Claude Opus 5 (xhigh) (1M) admiten las ventanas de contexto más grandes en Google.

Aspectos destacados

Inteligencia

Artificial Analysis Intelligence Index · Higher is better

Velocidad

Output tokens per second · Higher is better

Precio

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

Evaluaciones de inteligencia

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

Harvey LAB-AA

Legal agentic work, criterion pass rate

EnterpriseOps-Gym-AANew

Agentic business operations

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.

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.

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).

The blended cache price shown here uses cache hit price only. Other caching costs differ by provider:

Anthropic: charges a separate cache write fee, with different rates for 5-minute and 1-hour TTLs (1-hour TTL is more expensive).
Google (Vertex/Gemini): charges a per-hour cache storage fee in addition to cache hit pricing. Some providers also use tiered pricing for prompts above 200K tokens.
OpenAI, DeepSeek, others: typically charge only cache hit pricing with no write or storage fee.

See Prompt Caching for the full breakdown.

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).

Ventana 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).

Precios

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.

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).

The blended cache price shown here uses cache hit price only. Other caching costs differ by provider:

Anthropic: charges a separate cache write fee, with different rates for 5-minute and 1-hour TTLs (1-hour TTL is more expensive).
Google (Vertex/Gemini): charges a per-hour cache storage fee in addition to cache hit pricing. Some providers also use tiered pricing for prompts above 200K tokens.
OpenAI, DeepSeek, others: typically charge only cache hit pricing with no write or storage fee.

See Prompt Caching for the full breakdown.

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).

Resumen de rendimiento

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).

Velocidad

Medida por la velocidad de salida (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).

Latencia

Medida por el tiempo (segundos) hasta el primer token

Latency: Time To First Answer Token

Seconds to first answer token received · Accounts for reasoning model 'thinking' time

Reasoning models are indicated by a lightbulb icon

Time to first answer token received, in seconds, after API request sent. For reasoning models, this includes the 'thinking' time of the model before providing an answer. For models which do not support streaming, this represents time to receive the completion.

Tiempo de respuesta de extremo a extremo

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

Reasoning models are indicated by a lightbulb icon

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).

Seconds to receive a 500 token response. Key components:

Input time: Time to receive the first response token
Thinking time (only for reasoning models): Time reasoning models spend outputting tokens to reason prior to providing an answer. Amount of tokens based on the average reasoning tokens across a diverse set of 60 prompts (methodology details).
Answer time: Time to generate 500 output tokens, based on output speed

Figures represent median (P50) measurement over the past 72 hours to reflect sustained changes in performance.


									Análisis adicional
Claude Opus 5 (max)	1M	Propietario	61	$2.03	55	68.75	77.76	--	Modelo Proveedor
Claude Opus 5 (xhigh)	1M	Propietario	60	$1.56	54	29.09	38.43	--	Modelo Proveedor
Claude Fable 5 (with fallback)	1M	Propietario	60	$2.90	62	55.45	63.56	--	Modelo Proveedor
Claude Opus 5 (high)	1M	Propietario	59	$1.06	53	8.41	17.78	--	Modelo Proveedor
Claude Opus 5 (medium)	1M	Propietario	56	$0.62	53	3.93	13.41	--	Modelo Proveedor
Claude Opus 4.8 (max)	1M	Propietario	56	$2.60	64	19.37	27.17	--	Modelo Proveedor
Claude Opus 4.7 (max)	1M	Propietario	54	$3.37	69	13.86	21.15	--	Modelo Proveedor
Claude Sonnet 5 (max)	1M	Propietario	53	$1.95	80	177.94	184.22	--	Modelo Proveedor
Claude Opus 5 (low)	1M	Propietario	51	$0.36	54	2.49	11.73	--	Modelo Proveedor
Gemini 3.5 Flash AI Studio	1M	Propietario	50	$0.59	181	23.24	26.01	--	Modelo Proveedor
Gemini 3.6 Flash AI Studio	1M	Propietario	50	$0.50	217	15.03	17.34	--	Modelo Proveedor
Claude Sonnet 4.6 (max)	200k	Propietario	47	$1.47	46	103.68	114.62	--	Modelo Proveedor
Gemini 3.1 Pro Preview (AI Studio)	1M	Propietario	46	$0.29	122	25.39	29.50	--	Modelo Proveedor
Gemini 3.1 Pro Preview (Vertex)	1M	Propietario	46	$0.36	125	25.26	29.26	--	Modelo Proveedor
Gemini 3.5 Flash (medium)	1M	Propietario	45*	--	168	17.71	20.69	--	Modelo Proveedor
Claude Opus 4.6 (max)	1M	Propietario	44*	--	46	14.98	25.80	--	Modelo Proveedor
Claude Opus 4.5 Vertex	200k	Propietario	41*	--	51	13.25	23.01	--	Modelo Proveedor
Gemini 3 Pro Preview (high) (Vertex)	1M	Propietario	40*	--	--	--	--	--	Modelo Proveedor
GLM-5	200k	Abierto	40*	--	169	1.00	22.34	18.38	Modelo Proveedor
Claude Opus 4.6 (high)	1M	Propietario	38*	--	41	1.91	13.99	--	Modelo Proveedor
Gemini 3 Flash (AI Studio)	1M	Propietario	38*	--	192	6.86	9.47	--	Modelo Proveedor
Gemini 3.5 Flash-Lite AI Studio	1M	Propietario	36	$0.09	382	7.90	9.20	--	Modelo Proveedor
Claude 4.5 Sonnet Vertex	1M	Propietario	36	$0.40	42	10.81	22.80	--	Modelo Proveedor
Claude Sonnet 4.6 (Non-reasoning)	200k	Propietario	36*	--	45	1.46	12.65	--	Modelo Proveedor
Gemini 3.5 Flash (minimal) AI Studio	1M	Propietario	35*	--	166	1.00	4.00	--	Modelo Proveedor
Claude Opus 4.5 Vertex	200k	Propietario	35*	--	47	1.05	11.74	--	Modelo Proveedor
Claude 4.1 Opus Vertex	200k	Propietario	34*	--	--	--	--	--	Modelo Proveedor
GLM-4.7	200k	Abierto	34	$0.32	144	0.70	18.01	13.85	Modelo Proveedor
Gemini 3 Pro Preview (low) (Vertex)	1M	Propietario	33*	--	--	--	--	--	Modelo Proveedor
Kimi K2 Thinking Vertex	262k	Abierto	33*	--	109	0.84	23.73	18.31	Modelo Proveedor
Claude 4 Opus Vertex	200k	Propietario	31*	--	--	--	--	--	Modelo Proveedor
Claude 4.5 Haiku Vertex	200k	Propietario	30	$0.23	105	19.09	23.85	--	Modelo Proveedor
Gemma 4 31B (AI Studio)	262k	Abierto	29	$0.00	35	1.11	65.37	49.89	Modelo Proveedor
Claude 4.5 Sonnet Vertex	1M	Propietario	29*	--	39	1.09	13.93	--	Modelo Proveedor
Claude 4 Sonnet Vertex	1M	Propietario	29	$0.44	--	--	--	--	Modelo Proveedor
MiniMax-M2 Vertex	197k	Abierto	28*	--	127	0.69	20.42	15.79	Modelo Proveedor
Claude 4.1 Opus Vertex	200k	Propietario	28*	--	--	--	--	--	Modelo Proveedor
Gemini 3 Flash (AI Studio)	1M	Propietario	27*	--	178	0.82	3.63	--	Modelo Proveedor
GLM-4.7	200k	Abierto	27*	--	134	0.69	4.42	--	Modelo Proveedor
Gemini 2.5 Pro Vertex	1M	Propietario	26	$0.20	107	27.05	31.72	--	Modelo Proveedor
Gemini 2.5 Pro (AI Studio)	1M	Propietario	26	$0.20	140	22.42	26.00	--	Modelo Proveedor
Gemma 4 26B A4B AI Studio	262k	Abierto	26	$0.00	47	1.10	54.17	42.45	Modelo Proveedor
Claude 4 Opus Vertex	200k	Propietario	25*	--	--	--	--	--	Modelo Proveedor
Claude 4 Sonnet Vertex	1M	Propietario	25*	--	--	--	--	--	Modelo Proveedor
Gemini 3.1 Flash-Lite (AI Studio)	1M	Propietario	25	$0.04	311	5.77	7.38	--	Modelo Proveedor
gpt-oss-120b (high) Vertex	131k	Abierto	24	$0.04	396	0.39	6.70	5.04	Modelo Proveedor
Claude 4.5 Haiku Vertex	200k	Propietario	24*	--	92	0.66	6.08	--	Modelo Proveedor
Claude 3.7 Sonnet Vertex	200k	Propietario	24*	--	--	--	--	--	Modelo Proveedor
Gemini 2.5 Pro (May) (AI Studio)	1M	Propietario	22*	--	--	--	--	--	Modelo Proveedor
DeepSeek V3.1 Vertex	164k	Abierto	21*	--	136	0.81	4.48	--	Modelo Proveedor
DeepSeek V3.1 Vertex	164k	Abierto	21*	--	162	0.84	16.32	12.38	Modelo Proveedor
DeepSeek R1 0528 Vertex	164k	Abierto	20*	--	158	0.97	16.79	12.65	Modelo Proveedor
Gemini 2.5 Flash (AI Studio)	1M	Propietario	20*	--	230	15.75	17.92	--	Modelo Proveedor
Gemini 2.5 Flash (Vertex)	1M	Propietario	20*	--	186	17.23	19.91	--	Modelo Proveedor
Qwen3 235B 2507 Vertex	262k	Abierto	18*	--	79	0.80	7.11	--	Modelo Proveedor
Qwen3 Coder 480B Vertex	262k	Abierto	18*	--	166	0.87	3.89	--	Modelo Proveedor
Qwen3 Next 80B A3B Vertex	262k	Abierto	17	$0.04	138	0.69	18.85	14.53	Modelo Proveedor
Gemini 2.5 Flash-Lite (Sep) (AI Studio)	1M	Propietario	15*	--	--	--	--	--	Modelo Proveedor
gpt-oss-120b (low) Vertex	131k	Abierto	15	$0.01	407	0.40	6.54	4.92	Modelo Proveedor
gpt-oss-20b (high) Vertex	131k	Abierto	15	$0.02	315	1.16	9.09	6.35	Modelo Proveedor
gpt-oss-20b (low) Vertex	131k	Abierto	14*	--	315	1.36	9.29	6.34	Modelo Proveedor
Gemini 2.5 Flash (Vertex)	1M	Propietario	14*	--	165	0.57	3.60	--	Modelo Proveedor
Gemini 2.5 Flash (AI Studio)	1M	Propietario	14*	--	204	0.54	2.99	--	Modelo Proveedor
Qwen3 Next 80B A3B Vertex	262k	Abierto	14*	--	161	1.02	4.13	--	Modelo Proveedor
Gemini 2.5 Flash-Lite (Sep) (AI Studio)	1M	Propietario	13*	--	--	--	--	--	Modelo Proveedor
Gemini 2.5 Flash-Lite (AI Studio)	1M	Propietario	11*	--	277	32.06	33.87	--	Modelo Proveedor
Gemini 2.0 Flash (exp) (AI Studio)	1M	Propietario	11*	--	--	--	--	--	Modelo Proveedor
Llama 4 Scout Vertex	1.31M	Abierto	10	$0.01	136	0.83	4.51	--	Modelo Proveedor
Llama 3.3 70B Vertex	128k	Abierto	9	$0.10	134	0.69	4.44	--	Modelo Proveedor
Gemma 3 27B (AI Studio)	128k	Abierto	7	$0.00	--	--	--	--	Modelo Proveedor
Gemini 2.5 Flash-Lite (AI Studio)	1M	Propietario	7*	--	201	0.37	2.85	--	Modelo Proveedor
Gemma 3 12B (AI Studio)	128k	Abierto	6	$0.00	--	--	--	--	Modelo Proveedor
Gemma 3 4B (AI Studio)	128k	Abierto	1*	--	--	--	--	--	Modelo Proveedor
Gemma 3n E2B (AI Studio)	32k	Abierto	1*	--	--	--	--	--	Modelo Proveedor
Gemma 3 1B (AI Studio)	32k	Abierto	1*	--	--	--	--	--	Modelo Proveedor

Definiciones clave

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

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).

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.

Average cost per task in the index. Costs are split by input, cache hit, cache write, reasoning, and answer token pricing where canonical token counts are available.

Price per token included in the request/message sent to the API, represented as USD per million Tokens.

Price per token for cached prompts (previously processed), typically offering a significant discount compared to regular input price, represented as USD per million tokens. The values shown here are the cache hit price; cache write and cache storage are billed separately and vary by provider — see "Cache pricing by provider" for detail.

Price per token to write prompt tokens into the cache so that later requests can hit them, represented as USD per million tokens. Some providers charge a premium over the standard input price to create a cache entry (e.g. Anthropic), while others cache automatically with no separate write fee.

Price per token generated by the model (received from the API), represented as USD per million Tokens.

Metrics are 'live' and are based on the past 72 hours of measurements, measurements are taken 8 times a day for single requests and 2 times per day for parallel requests.

Preguntas frecuentes

Preguntas comunes sobre Google

Google ofrece 57 modelos que monitoreamos: Claude Opus 5 (max), Claude Opus 5 (xhigh), Claude Fable 5 (with fallback), Claude Opus 5 (high), Claude Opus 5 (medium), Claude Opus 4.8 (max), Claude Opus 4.7 (max), Claude Sonnet 5 (max), Claude Opus 5 (low), Gemini 3.5 Flash AI Studio, Gemini 3.6 Flash AI Studio, Claude Sonnet 4.6 (max), Gemini 3.1 Pro Preview (AI Studio), Gemini 3.1 Pro Preview (Vertex), Gemini 3.5 Flash (medium), Claude Opus 4.6 (max), Claude Opus 4.5 Vertex, GLM-5, Claude Opus 4.6 (high), Gemini 3 Flash (AI Studio), Gemini 3.5 Flash-Lite AI Studio, Claude 4.5 Sonnet Vertex, Claude Sonnet 4.6 (Non-reasoning), Gemini 3.5 Flash (minimal) AI Studio, Claude Opus 4.5 Vertex, GLM-4.7, Kimi K2 Thinking Vertex, Claude 4.5 Haiku Vertex, Gemma 4 31B (AI Studio), Claude 4.5 Sonnet Vertex, MiniMax-M2 Vertex, Gemini 3 Flash (AI Studio), GLM-4.7, Gemini 2.5 Pro Vertex, Gemini 2.5 Pro (AI Studio), Gemma 4 26B A4B AI Studio, Gemini 3.1 Flash-Lite (AI Studio), gpt-oss-120b (high) Vertex, Claude 4.5 Haiku Vertex, DeepSeek V3.1 Vertex, DeepSeek V3.1 Vertex, DeepSeek R1 0528 Vertex, Gemini 2.5 Flash (AI Studio), Gemini 2.5 Flash (Vertex), Qwen3 235B 2507 Vertex, Qwen3 Coder 480B Vertex, Qwen3 Next 80B A3B Vertex, gpt-oss-120b (low) Vertex, gpt-oss-20b (high) Vertex, gpt-oss-20b (low) Vertex, Gemini 2.5 Flash (Vertex), Gemini 2.5 Flash (AI Studio), Qwen3 Next 80B A3B Vertex, Gemini 2.5 Flash-Lite (AI Studio), Llama 4 Scout Vertex, Llama 3.3 70B Vertex y Gemini 2.5 Flash-Lite (AI Studio).

El modelo más inteligente disponible en Google es Claude Opus 5 (max), con una puntuación de 61 en el Índice de Inteligencia.

El modelo más rápido en Google por velocidad de salida es gpt-oss-120b (low) Vertex, con 406.8 tokens por segundo.

El modelo con el menor tiempo hasta el primer token de respuesta en Google es Gemini 2.5 Flash-Lite (AI Studio), con 0.37s. Una menor latencia significa una respuesta inicial más rápida.

El modelo más económico en Google por precio combinado es Gemini 2.5 Flash-Lite (AI Studio), a $0.07 por 1M de tokens (proporción 7:2:1 de aciertos de caché/entrada/salida).

Los precios en Google varían hasta 115x entre modelos, desde $0.07 por 1M de tokens para Gemini 2.5 Flash-Lite (AI Studio) hasta $7.70 por 1M de tokens para Claude Fable 5 (with fallback).

Sí, Google ofrece una API compatible con OpenAI, lo que facilita cambiar desde OpenAI o usar integraciones existentes del SDK de OpenAI.

44 de 57 modelos en Google admiten el modo JSON para salida estructurada.

Sí, los 57 modelos en Google admiten llamadas a funciones (uso de herramientas).

Sí, Google ofrece 40 modelos de razonamiento: Claude Opus 5 (max), Claude Opus 5 (xhigh), Claude Fable 5 (with fallback), Claude Opus 5 (high), Claude Opus 5 (medium), Claude Opus 4.8 (max), Claude Opus 4.7 (max), Claude Sonnet 5 (max), Claude Opus 5 (low), Gemini 3.5 Flash AI Studio, Gemini 3.6 Flash AI Studio, Claude Sonnet 4.6 (max), Gemini 3.1 Pro Preview (AI Studio), Gemini 3.1 Pro Preview (Vertex), Gemini 3.5 Flash (medium), Claude Opus 4.6 (max), Claude Opus 4.5 Vertex, GLM-5, Gemini 3 Flash (AI Studio), Gemini 3.5 Flash-Lite AI Studio, Claude 4.5 Sonnet Vertex, GLM-4.7, Kimi K2 Thinking Vertex, Claude 4.5 Haiku Vertex, Gemma 4 31B (AI Studio), MiniMax-M2 Vertex, Gemini 2.5 Pro Vertex, Gemini 2.5 Pro (AI Studio), Gemma 4 26B A4B AI Studio, Gemini 3.1 Flash-Lite (AI Studio), gpt-oss-120b (high) Vertex, DeepSeek V3.1 Vertex, DeepSeek R1 0528 Vertex, Gemini 2.5 Flash (AI Studio), Gemini 2.5 Flash (Vertex), Qwen3 Next 80B A3B Vertex, gpt-oss-120b (low) Vertex, gpt-oss-20b (high) Vertex, gpt-oss-20b (low) Vertex y Gemini 2.5 Flash-Lite (AI Studio). Los modelos de razonamiento usan pensamiento extendido para resolver problemas complejos antes de responder.

Sí, 20 de 57 modelos en Google son modelos de pesos abiertos: GLM-5, GLM-4.7, Kimi K2 Thinking Vertex, Gemma 4 31B (AI Studio), MiniMax-M2 Vertex, GLM-4.7, Gemma 4 26B A4B AI Studio, gpt-oss-120b (high) Vertex, DeepSeek V3.1 Vertex, DeepSeek V3.1 Vertex, DeepSeek R1 0528 Vertex, Qwen3 235B 2507 Vertex, Qwen3 Coder 480B Vertex, Qwen3 Next 80B A3B Vertex, gpt-oss-120b (low) Vertex, gpt-oss-20b (high) Vertex, gpt-oss-20b (low) Vertex, Qwen3 Next 80B A3B Vertex, Llama 4 Scout Vertex y Llama 3.3 70B Vertex.

Sí, el rendimiento de un proveedor puede variar con el tiempo debido a cambios de infraestructura, balanceo de carga y actualizaciones. Medimos continuamente a todos los proveedores y mostramos las tendencias históricas de rendimiento en los gráficos "a lo largo del tiempo".

Al elegir un modelo en Google, considera: inteligencia (para tareas sensibles a la calidad), velocidad de salida (para tareas intensivas en rendimiento), latencia (para aplicaciones interactivas que requieren primeras respuestas rápidas), precios (para cargas de trabajo sensibles al costo) y funcionalidades como el tamaño de la ventana de contexto, el modo JSON o las llamadas a funciones.

Google: inteligencia, rendimiento y precio de sus modelos

Más inteligente

Más rápido

Menor precio

Inteligencia

Velocidad

Precio