Alibaba Cloud: inteligencia, rendimiento y precio de sus modelos

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

Alibaba Cloud

Análisis de los modelos de Alibaba Cloud 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 Alibaba Cloud para tu caso de uso.

Más inteligente

Qwen3.7 Max

Qwen3.6 Max Preview

Qwen3.6 Plus

Qwen3.7 Plus

Qwen3.6 27B

Índice de inteligencia

50 modelos en total

Más rápido

Qwen3.5 Omni Flash

235 t/s

Qwen3 Next 80B A3B

207 t/s

Qwen3.7 Max

201 t/s

Qwen3 Next 80B A3B

185 t/s

Qwen3.6 35B A3B

167 t/s

Velocidad de salida

50 modelos en total

Menor precio

Qwen2.5 Turbo

$0.07

Qwen3.5 Omni Flash

$0.17

Qwen3 VL 8B

$0.23

Qwen3 8B

$0.23

Qwen3 VL 30B A3B

$0.26

Precio combinado (por 1M de tokens)

50 modelos en total

Indica un modelo de razonamiento

Alibaba Cloud ofrece 50 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 Alibaba Cloud son Qwen3.7 Max (46), Qwen3.6 Max Preview (40) y Qwen3.6 Plus (40).
En velocidad de salida, los modelos más rápidos son Qwen3.5 Omni Flash (235 t/s), Qwen3 Next 80B A3B (207 t/s) y Qwen3.7 Max (201 t/s).
En latencia, Qwen3 30B A3B 2507 (1.85s), Qwen3 Omni 30B A3B (1.86s) y Qwen3.5 Omni Flash (1.91s) ofrecen el menor tiempo hasta el primer token de respuesta.
En precios, Qwen2.5 Turbo ($0.07), Qwen3.5 Omni Flash ($0.17) y Qwen3 VL 8B ($0.23) ofrecen los menores precios combinados por 1M de tokens. Los precios varían hasta 4.0x entre modelos.
En tamaño de ventana de contexto, Qwen3.6 Plus (1M), Qwen3.7 Plus (1M) y Qwen2.5 Turbo (1M) admiten las ventanas de contexto más grandes en Alibaba Cloud.

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

Estimate (independent evaluation forthcoming)

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
Qwen3.7 Max	991k	Propietario	46	$1.03	201	2.45	16.93	11.99	Modelo Proveedor
Qwen3.6 Max Preview	256k	Propietario	40*	--	51	3.36	52.46	39.28	Modelo Proveedor
Qwen3.6 Plus	1M	Propietario	40	$0.31	53	2.48	115.60	103.78	Modelo Proveedor
Qwen3.7 Plus	1M	Propietario	39	$0.21	53	2.59	49.67	37.66	Modelo Proveedor
Qwen3.6 27B	262k	Abierto	37	$0.27	54	3.71	117.06	104.17	Modelo Proveedor
Qwen3.5 27B	262k	Abierto	34*	--	77	5.82	38.38	26.05	Modelo Proveedor
Qwen3.5 397B A17B	262k	Abierto	34	$0.33	72	2.35	53.37	44.10	Modelo Proveedor
Qwen3.5 122B A10B	262k	Abierto	32	$0.24	132	2.34	21.23	15.12	Modelo Proveedor
Qwen3.5 397B A17B	262k	Abierto	32*	--	68	2.32	9.65	--	Modelo Proveedor
Qwen3.6 35B A3B	229k	Abierto	32	$0.18	149	2.29	41.83	36.19	Modelo Proveedor
Qwen3.5 Omni Plus	256k	Propietario	31*	--	53	2.35	11.85	--	Modelo Proveedor
Qwen3.6 27B	262k	Abierto	30	$0.36	56	3.70	12.68	--	Modelo Proveedor
Qwen3.5 27B	262k	Abierto	29*	--	83	5.71	11.70	--	Modelo Proveedor
Qwen3.5 35B A3B	262k	Abierto	29*	--	143	2.17	19.60	13.95	Modelo Proveedor
Qwen3.5 122B A10B	262k	Abierto	28	$0.18	148	2.38	5.76	--	Modelo Proveedor
Qwen3 Max Thinking (Preview)	262k	Propietario	25*	--	55	4.04	49.54	36.40	Modelo Proveedor
Qwen3.6 35B A3B	262k	Abierto	24	$0.60	167	2.28	5.27	--	Modelo Proveedor
Qwen3 Max	258k	Propietario	24*	--	54	2.43	11.67	--	Modelo Proveedor
Qwen3.5 35B A3B	262k	Abierto	24	$0.23	165	2.22	5.24	--	Modelo Proveedor
Qwen3 VL 235B A22B	131k	Abierto	21*	--	54	3.00	48.98	36.79	Modelo Proveedor
Qwen3 235B A22B 2507	131k	Abierto	20	$0.19	55	2.77	48.22	36.36	Modelo Proveedor
Qwen3 Max (Preview)	262k	Propietario	19*	--	55	4.31	13.32	--	Modelo Proveedor
Qwen3.5 Omni Flash	256k	Propietario	19*	--	235	1.91	4.03	--	Modelo Proveedor
Qwen3 235B 2507	131k	Abierto	18*	--	55	2.07	11.23	--	Modelo Proveedor
Qwen3 Coder 480B	262k	Abierto	18*	--	61	2.97	11.19	--	Modelo Proveedor
Qwen3 VL 32B	131k	Abierto	18*	--	87	2.58	31.28	22.97	Modelo Proveedor
Qwen3 Next 80B A3B	262k	Abierto	17	$0.17	207	2.28	14.35	9.66	Modelo Proveedor
Qwen3 30B A3B 2507	262k	Abierto	14	$0.07	136	2.40	20.83	14.74	Modelo Proveedor
Qwen3 VL 235B A22B	131k	Abierto	14*	--	48	2.68	13.14	--	Modelo Proveedor
Qwen3 Next 80B A3B	131k	Abierto	14*	--	185	2.15	4.85	--	Modelo Proveedor
Qwen3 Coder 30B A3B	262k	Abierto	14*	--	87	2.63	8.38	--	Modelo Proveedor
Qwen3 235B	131k	Abierto	13*	--	59	2.74	44.90	33.73	Modelo Proveedor
Qwen3 VL 30B A3B	131k	Abierto	13*	--	106	2.21	25.82	18.89	Modelo Proveedor
Qwen3 32B	131k	Abierto	12	--	90	2.46	30.17	22.17	Modelo Proveedor
Qwen3 VL 32B	131k	Abierto	11*	--	34	3.23	17.92	--	Modelo Proveedor
Qwen3 235B	131k	Abierto	11*	--	60	2.83	11.12	--	Modelo Proveedor
Qwen3 VL 8B	131k	Abierto	11*	--	107	2.37	25.63	18.61	Modelo Proveedor
Qwen3 14B	131k	Abierto	10	--	46	2.80	57.54	43.79	Modelo Proveedor
Qwen3 VL 30B A3B	131k	Abierto	10*	--	106	2.20	6.94	--	Modelo Proveedor
Qwen3 Omni 30B A3B	65.5k	Abierto	10*	--	97	1.98	27.68	20.56	Modelo Proveedor
Qwen3 30B	131k	Abierto	9*	--	101	2.19	26.96	19.81	Modelo Proveedor
Qwen3 30B A3B 2507	262k	Abierto	9*	--	146	1.85	5.27	--	Modelo Proveedor
Qwen3 32B	131k	Abierto	9*	--	93	2.45	7.82	--	Modelo Proveedor
Qwen3 VL 8B	131k	Abierto	8*	--	110	2.26	6.82	--	Modelo Proveedor
Qwen3 8B	98.3k	Abierto	8	--	38	3.79	69.34	52.44	Modelo Proveedor
Qwen3 14B	131k	Abierto	7*	--	47	2.93	13.48	--	Modelo Proveedor
Qwen3 30B	131k	Abierto	7*	--	101	2.21	7.18	--	Modelo Proveedor
Qwen2.5 Turbo	1M	Propietario	6*	--	104	2.20	7.03	--	Modelo Proveedor
Qwen3 Omni 30B A3B	65.5k	Abierto	5*	--	91	1.86	7.34	--	Modelo Proveedor
Qwen3 8B	131k	Abierto	5*	--	40	3.67	16.30	--	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 Alibaba Cloud

Alibaba Cloud ofrece 50 modelos que monitoreamos: Qwen3.7 Max, Qwen3.6 Max Preview, Qwen3.6 Plus, Qwen3.7 Plus, Qwen3.6 27B, Qwen3.5 27B, Qwen3.5 397B A17B, Qwen3.5 122B A10B, Qwen3.5 397B A17B, Qwen3.6 35B A3B, Qwen3.5 Omni Plus, Qwen3.6 27B, Qwen3.5 27B, Qwen3.5 35B A3B, Qwen3.5 122B A10B, Qwen3 Max Thinking (Preview), Qwen3.6 35B A3B, Qwen3 Max, Qwen3.5 35B A3B, Qwen3 VL 235B A22B, Qwen3 235B A22B 2507, Qwen3 Max (Preview), Qwen3.5 Omni Flash, Qwen3 235B 2507, Qwen3 Coder 480B, Qwen3 VL 32B, Qwen3 Next 80B A3B, Qwen3 30B A3B 2507, Qwen3 VL 235B A22B, Qwen3 Next 80B A3B, Qwen3 Coder 30B A3B, Qwen3 235B, Qwen3 VL 30B A3B, Qwen3 32B, Qwen3 VL 32B, Qwen3 235B, Qwen3 VL 8B, Qwen3 14B, Qwen3 VL 30B A3B, Qwen3 Omni 30B A3B, Qwen3 30B, Qwen3 30B A3B 2507, Qwen3 32B, Qwen3 VL 8B, Qwen3 8B, Qwen3 14B, Qwen3 30B, Qwen2.5 Turbo, Qwen3 Omni 30B A3B y Qwen3 8B.

El modelo más inteligente disponible en Alibaba Cloud es Qwen3.7 Max, con una puntuación de 46 en el Índice de Inteligencia.

El modelo más rápido en Alibaba Cloud por velocidad de salida es Qwen3.5 Omni Flash, con 234.9 tokens por segundo.

El modelo con el menor tiempo hasta el primer token de respuesta en Alibaba Cloud es Qwen3 30B A3B 2507, con 1.85s. Una menor latencia significa una respuesta inicial más rápida.

El modelo más económico en Alibaba Cloud por precio combinado es Qwen2.5 Turbo, a $0.07 por 1M de tokens (proporción 7:2:1 de aciertos de caché/entrada/salida).

Los precios en Alibaba Cloud varían hasta 32x entre modelos, desde $0.07 por 1M de tokens para Qwen2.5 Turbo hasta $2.10 por 1M de tokens para Qwen3 Coder 480B.

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

49 de 50 modelos en Alibaba Cloud admiten el modo JSON para salida estructurada.

Sí, los 50 modelos en Alibaba Cloud admiten llamadas a funciones (uso de herramientas).

Sí, Alibaba Cloud ofrece 24 modelos de razonamiento: Qwen3.7 Max, Qwen3.6 Max Preview, Qwen3.6 Plus, Qwen3.7 Plus, Qwen3.6 27B, Qwen3.5 27B, Qwen3.5 397B A17B, Qwen3.5 122B A10B, Qwen3.6 35B A3B, Qwen3.5 35B A3B, Qwen3 Max Thinking (Preview), Qwen3 VL 235B A22B, Qwen3 235B A22B 2507, Qwen3 VL 32B, Qwen3 Next 80B A3B, Qwen3 30B A3B 2507, Qwen3 235B, Qwen3 VL 30B A3B, Qwen3 32B, Qwen3 VL 8B, Qwen3 14B, Qwen3 Omni 30B A3B, Qwen3 30B y Qwen3 8B. Los modelos de razonamiento usan pensamiento extendido para resolver problemas complejos antes de responder.

Sí, 40 de 50 modelos en Alibaba Cloud son modelos de pesos abiertos: Qwen3.6 27B, Qwen3.5 27B, Qwen3.5 397B A17B, Qwen3.5 122B A10B, Qwen3.5 397B A17B, Qwen3.6 35B A3B, Qwen3.6 27B, Qwen3.5 27B, Qwen3.5 35B A3B, Qwen3.5 122B A10B, Qwen3.6 35B A3B, Qwen3.5 35B A3B, Qwen3 VL 235B A22B, Qwen3 235B A22B 2507, Qwen3 235B 2507, Qwen3 Coder 480B, Qwen3 VL 32B, Qwen3 Next 80B A3B, Qwen3 30B A3B 2507, Qwen3 VL 235B A22B, Qwen3 Next 80B A3B, Qwen3 Coder 30B A3B, Qwen3 235B, Qwen3 VL 30B A3B, Qwen3 32B, Qwen3 VL 32B, Qwen3 235B, Qwen3 VL 8B, Qwen3 14B, Qwen3 VL 30B A3B, Qwen3 Omni 30B A3B, Qwen3 30B, Qwen3 30B A3B 2507, Qwen3 32B, Qwen3 VL 8B, Qwen3 8B, Qwen3 14B, Qwen3 30B, Qwen3 Omni 30B A3B y Qwen3 8B.

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 Alibaba Cloud, 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.

Alibaba Cloud: inteligencia, rendimiento y precio de sus modelos

Más inteligente

Más rápido

Menor precio

Inteligencia

Velocidad

Precio

Evaluaciones de inteligencia

Artificial Analysis Intelligence Index

Artificial Analysis Intelligence Index

Intelligence Evaluations

Intelligence Evaluation Relevance

Artificial Analysis Intelligence Index

Intelligence Index vs. Price

Price-Quality Variance

Artificial Analysis Intelligence Index

Price

Cache Pricing by Provider

Model Performance Representation

Ventana de contexto

Context Window

Context Window for RAG

Context Window

Precios

Intelligence Index vs. Price

Price-Quality Variance

Artificial Analysis Intelligence Index

Price

Cache Pricing by Provider

Model Performance Representation

Resumen de rendimiento

Output Speed vs. Price

Output Speed

Price

Velocidad

Output Speed

Output Speed

Model Performance Representation

Latencia

Latency: Time To First Answer Token

Time to First Answer Token

Tiempo de respuesta de extremo a extremo

End-to-End Response Time vs. Price

Price

End-to-End Response Time

Median

Definiciones clave

Context Window

Output Speed

Latency (Time to First Token)

Index Cost per Task

Input Price

Cache Hit

Cache Write

Output Price

Time Period

Preguntas frecuentes

¿Qué modelos ofrece Alibaba Cloud?

¿Cuál es el modelo más inteligente en Alibaba Cloud?

¿Cuál es el modelo más rápido en Alibaba Cloud?

¿Qué modelo tiene la menor latencia en Alibaba Cloud?

¿Cuál es el modelo más barato en Alibaba Cloud?

¿Cuánto varían los precios entre modelos en Alibaba Cloud?

¿Es Alibaba Cloud compatible con OpenAI?

¿Alibaba Cloud admite el modo JSON?

¿Alibaba Cloud admite llamadas a funciones?

¿Alibaba Cloud ofrece modelos de razonamiento?

¿Alibaba Cloud ofrece modelos de pesos abiertos?

¿El rendimiento de Alibaba Cloud cambia con el tiempo?

¿Cómo elijo un modelo en Alibaba Cloud?