DeepSeek V4 Flash Vision (Max) vs. GPT-5.6 Terra (Max)

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

Comparación entre DeepSeek V4 Flash Vision (Max) y GPT-5.6 Terra (Max) según inteligencia, precio, velocidad, ventana de contexto y más.

Para más detalles sobre nuestra metodología, consulta la página de metodología.

	DeepSeek	OpenAI
Inteligencia
Índice de Inteligencia	35	42
AA-Briefcase v1.1	1425	1333
GDPval-AA v2.1	1548	1453
AutomationBench-AA	47%	60%
Terminal-Bench 4.0	12%	35%
SciCode	50%	55%
Humanity's Last Exam	34%	43%
GDP.pdf	12%	24%
CritPt	11%	30%
AA-Omniscience	−18	0
AA-LCR v1.1	81%	83%
Costo
Precio por millón de tokens	$0.2298	$1.74
Precio de entrada por 1M de tokens	$0.44	$2.00
Precio de salida por 1M de tokens	$1.32	$12.00
Precio de acierto de caché por 1M de tokens	$0.014	$0.20
Costo por tarea	$0.31	$1.40
Costo de ejecutar el Intelligence Index	445 US$	2501 US$
Uso de tokens
Tokens de salida por tarea	69k	39k
Tokens de razonamiento por tarea	46k	26k
Tokens de salida para ejecutar el Intelligence Index	170M	122M
Rendimiento
Velocidad de salida	211 tokens/s	108 tokens/s
Tiempo hasta el primer token	0.95s	124.70s
Tiempo hasta el primer token de respuesta	10.42s	124.70s
Tiempo de respuesta de extremo a extremo	12.79s	129.33s
Tiempo por tarea	235.48s	359.55s
Especificaciones técnicas
Ventana de contexto	1000k tokens~1500 páginas A4 con fuente Arial de tamaño 12	1000k tokens~1500 páginas A4 con fuente Arial de tamaño 12
Fecha de lanzamiento	agosto de 2026	julio de 2026
Parámetros totales	284B
Parámetros activos	13B
Razonamiento	Sí	Sí
Modalidad de entrada	Admite: texto e imágenes	Admite: texto e imágenes
Modalidad de salida	Admite: texto	Admite: texto
Pesos abiertos	No	No

Updated

Inteligencia

Artificial Analysis Intelligence Index · Higher is better

Velocidad

Output tokens per second · Higher is better

Costo por tarea

Weighted average cost (USD) per Intelligence Index task · Lower is better

InteligenciaUpdated

Índice de inteligencia de Artificial Analysis

Artificial Analysis Intelligence Index v4.3.2 incorporates 10 evaluations: AA-Briefcase v1.1, GDPval-AA v2.1, AutomationBench-AA, Terminal-Bench 4.0, SciCode, Humanity's Last Exam, GDP.pdf, CritPt, AA-Omniscience, AA-LCR v1.1

Not publicly available

Artificial Analysis Intelligence Index v4.3.2 includes: AA-Briefcase v1.1, GDPval-AA v2.1, AutomationBench-AA, Terminal-Bench 4.0, 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.

Índice de Inteligencia de Artificial Analysis: pesos abiertos vs. propietarios

Not publicly available

Indicates whether the model weights are available. Models are labelled as 'Commercial Use Restricted' if commercial use is limited by conditions, and as 'Non-commercial' if the license prohibits commercial use.

Índices de capacidades

Miden el rendimiento de modelos en capacidades e industrias específicas

Artificial Analysis Índice de finanzas y contabilidad

Incorporates 7 evaluations: AA-Omniscience, GDPval-AA v2.1, AA-Briefcase v1.1, Humanity's Last Exam, AutomationBench-AA, AA-LCR v1.1, GDP.pdf · Higher is better

Not publicly available

Benchmarks

Intelligence Evaluations

Intelligence evaluations measured independently by Artificial Analysis · Higher is better

Not publicly available

AA-Briefcase v1.1Updated

Agentic knowledge work, (Elo-500)/2000

GDPval-AA v2.1Updated

Agentic real-world work tasks, (Elo-500)/2000

AutomationBench-AA

Agentic SaaS workflows

Terminal-Bench 4.0

Agentic coding & terminal use

SciCodeUnder review

Coding

Humanity's Last Exam

Reasoning & knowledge

GDP.pdf

Professional document reasoning, All-pass

CritPtUnder review

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

Terminal-Bench-Science 0.1New

Agentic scientific research workflows in a terminal

AA-AnalystAgent

Quantitative analysis on spreadsheets & documents

ITBench-AA

Kubernetes incident root-cause analysis

MMMU-Pro

Visual reasoning

MLCR-AA

Medical long context reasoning

While model intelligence generally translates across use cases, specific evaluations may be more relevant for certain use cases.

AA-Briefcase v1.1Updated

Elo de AA-Briefcase

AA-Briefcase v1.1 is an agentic knowledge work benchmark developed by Artificial Analysis. AA-Briefcase Elo is a combined metric that aggregates rubric pass rate, analytical quality Elo and presentation Elo · Higher is better

Not publicly available

AA-Briefcase Elo is a combined metric that aggregates analytical quality Elo, presentation Elo, and rubric pass rate, with rubric performance converted into Elo via synthetic head-to-head matches. Elo and 95% confidence interval bounds are clamped at 0.

AA-Omniscience

Índice AA-Omniscience

AA-Omniscience Index (higher is better) measures knowledge reliability and hallucination. It rewards correct answers, penalizes hallucinations, and has no penalty for refusing to answer. Scores range from -100 to 100, where 0 means as many correct as incorrect answers, and negative scores mean more incorrect than correct.

Not publicly available

Comparaciones del Índice de Inteligencia

Índice de Inteligencia vs. costo por tarea del Índice de Inteligencia

Artificial Analysis Intelligence Index · Weighted average cost (USD) per Artificial Analysis Intelligence Index task

Most attractive quadrant

Pareto line

AA-Briefcase v1.1

GDPval-AA v2.1

Costo por tarea (USD, escala logarítmica)

Weighted average cost per Intelligence Index task. Each evaluation’s cost is calculated from input, cache hit, cache write, reasoning, and answer token prices, divided by task count, and weighted by its Intelligence Index weight.

Uso de tokens

Tokens de salida por tarea del Índice de Inteligencia

Promedio ponderado de tokens de salida usados para ejecutar una tarea del Índice de Inteligencia de Artificial Analysis

Not publicly available

The number of tokens required per Intelligence Index task. This is calculated by multiplying the output tokens per eval by the relative weights of each benchmark in the Intelligence Index, then dividing by task count (excluding repeats).

Costo

Costo por tarea del Índice de Inteligencia

Weighted average cost (USD) per Artificial Analysis Intelligence Index task, segmented by token type. Lower is better

Not publicly available

Costo de ejecutar el Índice de Inteligencia de Artificial Analysis

Cost (USD) to run all evaluations in the Artificial Analysis Intelligence Index

Not publicly available

The cost to run the evaluations in the Artificial Analysis Intelligence Index, calculated using the model's input, cache hit, cache write, reasoning, and answer token prices and the number of tokens used across evaluations (excluding repeats).

Precios: aciertos de caché, entrada y salida

Price (USD per M Tokens)

Not publicly available

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.

Ventana de contexto

Context window: tokens limit · Higher is better

Not publicly available

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).

Velocidad

Medida por la velocidad de salida (tokens por segundo)

Velocidad de salida

Output tokens per second · Higher is better

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 or the median across providers where a first-party API is not available.

Tiempo por tarea del Índice de Inteligencia

Weighted average decode time (minutes) per task; excludes TTFT and overhead time · Lower is better

The weighted average time (seconds) per Artificial Analysis Intelligence Index task. This is calculated by dividing output tokens per task by output speed, weighted by the relative weights of each benchmark in the Intelligence Index.

Latencia

Medida por el tiempo (segundos) hasta el primer token

Latencia: Tiempo hasta el primer token de respuesta

Segundos hasta recibir el primer token de respuesta · Incluye el tiempo de «pensamiento» de los modelos de razonamiento

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

Tiempo de respuesta de extremo a extremo

Seconds to output 500 tokens, including reasoning model 'thinking' time · Lower is better

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 performance of the model's first-party API or the median across providers where a first-party API is not available.

Preguntas frecuentes

GPT-5.6 Terra (Max) es más inteligente. GPT-5.6 Terra (Max) obtiene 42, frente a los 35 de DeepSeek V4 Flash Vision (Max) en el Índice de Inteligencia de Artificial Analysis.

DeepSeek V4 Flash Vision (Max) es más rápido. DeepSeek V4 Flash Vision (Max) genera 211.2 tokens por segundo, frente a los 107.9 tokens por segundo de GPT-5.6 Terra (Max).

DeepSeek V4 Flash Vision (Max) es más económico. DeepSeek V4 Flash Vision (Max) cuesta $0.23 por millón de tokens, frente a GPT-5.6 Terra (Max), que cuesta $1.74 por millón de tokens (proporción 7:2:1 entre aciertos de caché, entrada y salida).

DeepSeek V4 Flash Vision (Max) tiene menor latencia. El tiempo hasta el primer token de DeepSeek V4 Flash Vision (Max) es de 0.95s, frente a los 124.70s de GPT-5.6 Terra (Max).

Ambos modelos tienen una ventana de contexto de 1.0M tokens.

DeepSeek V4 Flash Vision (Max) vs. GPT-5.6 Terra (Max)

Inteligencia

Velocidad

Costo por tarea

InteligenciaUpdated

Índice de inteligencia de Artificial Analysis

Artificial Analysis Intelligence Index

Índice de Inteligencia de Artificial Analysis: pesos abiertos vs. propietarios

Artificial Analysis Intelligence Index

Open Weights

Índices de capacidades

Artificial Analysis Índice de finanzas y contabilidad

Benchmarks

Intelligence Evaluations

Intelligence Evaluation Relevance

Artificial Analysis Intelligence Index

AA-Briefcase v1.1Updated

Elo de AA-Briefcase

AA-Briefcase Elo

AA-Omniscience

Índice AA-Omniscience

AA-Omniscience Index

Comparaciones del Índice de Inteligencia

Índice de Inteligencia vs. costo por tarea del Índice de Inteligencia

Cost per Intelligence Index Task

Artificial Analysis Intelligence Index

Uso de tokens

Tokens de salida por tarea del Índice de Inteligencia

Output Tokens per Intelligence Index Task

Costo

Costo por tarea del Índice de Inteligencia

Cost per Intelligence Index Task

Costo de ejecutar el Índice de Inteligencia de Artificial Analysis

Cost to Run Artificial Analysis Intelligence Index

Precios: aciertos de caché, entrada y salida

Cache Hit

Ventana de contexto

Ventana de contexto

Context Window for RAG

Context Window

Velocidad

Velocidad de salida

Output Speed

Model Performance Representation

Tiempo por tarea del Índice de Inteligencia

Time per Intelligence Index Task

Latencia

Latencia: Tiempo hasta el primer token de respuesta

Time to First Answer Token

Tiempo de respuesta de extremo a extremo

Tiempo de respuesta de extremo a extremo

End-to-End Response Time

Model Performance Representation

Preguntas frecuentes

¿Cuál es más inteligente, DeepSeek V4 Flash Vision (Max) o GPT-5.6 Terra (Max)?

¿Cuál es más rápido, DeepSeek V4 Flash Vision (Max) o GPT-5.6 Terra (Max)?

¿Cuál es más económico, DeepSeek V4 Flash Vision (Max) o GPT-5.6 Terra (Max)?

¿Cuál tiene menor latencia, DeepSeek V4 Flash Vision (Max) o GPT-5.6 Terra (Max)?

¿Cuál tiene una ventana de contexto más grande, DeepSeek V4 Flash Vision (Max) o GPT-5.6 Terra (Max)?