分析摘要

视觉推理与图像输入价格

Visual reasoning intelligence: MMMU Pro evaluation · Image input price: USD per 1k images at 1MP (1024x1024)

Most attractive quadrant

Based on the MMMU Pro evaluation of 1.7k questions, this represents the model's ability to interpret and reason over images.

Price for 1,000 images at a resolution of 1 Megapixel (1024 x 1024) processed by the model.

视觉推理与延迟（单张图像及 1,000 个语言输入 token）

Visual reasoning intelligence: MMMU Pro evaluation · Seconds to first token received

Most attractive quadrant

Based on the MMMU Pro evaluation of 1.7k questions, this represents the model's ability to interpret and reason over images.

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.

智能

视觉推理智能（MMMU Pro 评测）

Visual reasoning intelligence: MMMU Pro evaluation

Multimodal reasoning quality evaluation based on 1.7k questions which require interpreting and reasoning over images.

价格

Pricing: Image Input Pricing

Image input price: USD per 1k images at 1MP (1024x1024)

Price for 1,000 images at a resolution of 1 Megapixel (1024 x 1024) processed by the model.

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).

价格：语言输入、图像输入与语言输出

Price (USD per M Tokens) · Image input price: USD per 1k images at 1MP (1024x1024) · Lower is better

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

延迟与速度

延迟（单张图像及 1,000 个语言输入 token）

Seconds to first token received · Lower is better

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).

延迟波动（单张图像及 1,000 个语言输入 token）

Seconds to first token received · Results by percentile · Lower is better

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.

输出速度（单张图像及 1,000 个语言输入 token）

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

视觉模型：支持图像输入的 LLM

智能

速度

价格

分析摘要

视觉推理与图像输入价格

Visual Reasoning

Price per 1k 1MP Images

视觉推理与延迟（单张图像及 1,000 个语言输入 token）

Visual Reasoning

Latency (Time to First Token)

智能

视觉推理智能（MMMU Pro 评测）

MMMU Pro

价格

Pricing: Image Input Pricing

Price per 1k 1MP Images

Model Performance Representation

价格：语言输入、图像输入与语言输出

Input Price

延迟与速度

延迟（单张图像及 1,000 个语言输入 token）

Latency (Time to First Token)

Model Performance Representation

延迟波动（单张图像及 1,000 个语言输入 token）

Latency (Time to First Token)

Boxplot

输出速度（单张图像及 1,000 个语言输入 token）

Output Speed

Model Performance Representation